Note: Intro -- Conference Organization Commitees -- Preface -- Contents -- Editors and Contributors -- A Framework for Early Recognition of Alzheimer's Using Machine Learning Approaches -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Model Diagram -- 3.2 CatBoost Classifier -- 3.3 Model Evaluation -- 4 Environmental Setup -- 5 Results and Discussion -- 5.1 Accuracy -- 5.2 Precision -- 5.3 Recall -- 5.4 F1-Score -- 6 Conclusion and Future Direction -- References -- On the Studies and Analyzes of Facial Detection and Recognition Using Machine Learning Algorithms -- 1 Introduction -- 2 Related Study -- 3 Facial Detection and Recognition Methods -- 3.1 Machine Learning Approach -- 3.2 Deep Learning Approach -- 4 Implementation -- 4.1 Face Detection: Haar Cascade Detection Algorithm -- 4.2 Face Recognition: Local Binary Pattern Histogram (LBPH) Algorithm -- 4.3 Detection and Recognition by GoogLeNet -- 5 Results and Discussion -- 5.1 Haar Cascade Face Detection (Machine Learning Approach) -- 5.2 LBPH Face Recognition in Real Time (Machine Learning Approach) -- 5.3 GoogLeNet Image-Based Analysis (Deep Learning Approach) -- 6 Conclusion -- References -- IPL Analysis and Match Prediction -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Processing the Datasets -- 3.2 Match Analysis -- 3.3 Visualization -- 3.4 Match Prediction -- 3.5 User Interface Creation -- 4 Results and Discussion -- 5 Conclusion -- References -- Application of ANN Combined with Machine Learning for Early Recognition of Parkinson's Disease -- 1 Introduction -- 2 Literature Work -- 3 Methodology -- 4 Experimental Setup -- 5 Performance Analysis and Experimentation Results -- 6 Conclusion and Future Work -- References -- People Count from Surveillance Video Using Convolution Neural Net -- 1 Introduction -- 2 Literature Review -- 3 Dataset. , 4 Proposed Methodology -- 5 Results -- 6 Conclusion -- References -- Detection of Pneumonia and COVID-19 from Chest X-Ray Images Using Neural Networks and Deep Learning -- 1 Introduction -- 2 Related Work -- 3 CNN Architectures -- 4 Proposed CNN Model -- 5 Experimentation and Results -- 5.1 Dataset -- 5.2 Experiment Setup -- 5.3 Results -- 5.4 Performance Evaluation -- 6 Conclusion -- References -- Plant Leaf Disease Detection and Classification Using Deep Learning Technique -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System Architecture -- 3.1 Image Acquisition -- 3.2 Image Preprocessing -- 3.3 Feature Extraction Using CNN -- 3.4 Detect and Classify Disease -- 4 Result and Analysis -- 5 Conclusion -- References -- Breast Mass Classification Using Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 About Dataset -- 3.2 Architecture of CNN -- 4 Results and Discussion -- 5 Conclusions -- References -- Deep Generative Models Under GAN: Variants, Applications, and Privacy Issues -- 1 Introduction -- 2 Generative Adversarial Networks (GANs) -- 2.1 GAN Architecture -- 2.2 Objective Function -- 3 Existing Models and Applications -- 3.1 GAN Models -- 3.2 Applications -- 4 GANs in Privacy -- 4.1 Privacy in Data -- 4.2 Privacy in Model -- 5 Future Works -- 6 Conclusion -- References -- Fusion-Based Celebrity Profiling Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Evaluation Measure -- 3.3 Stylistic Features -- 3.4 Word Embedding -- 3.5 Method -- 4 Results and Discussion -- 5 Conclusion -- References -- DeepLeaf: Analysis of Plant Leaves Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Feature Extraction -- 3.2 CNN and VGG16 -- 4 Results and Discussion -- 4.1 Comparative Analysis with Respect to Accuracy -- 5 Conclusion. , References -- Potential Assessment of Wind Power Generation Using Machine Learning Algorithms for Southern Region of India -- 1 Introduction -- 2 Wind Power Technology -- 3 Methodology -- 3.1 Linear Regression -- 3.2 Support Vector Regression -- 3.3 K-Nearest Neighbour Algorithm -- 3.4 Decision Trees Regression -- 4 Performance Indices -- 4.1 Mean Absolute Error (MAE) -- 4.2 Mean Square Error (MSE) -- 4.3 Root Mean Square Error (RMSE) -- 4.4 R2 Score -- 5 Results and Discussions -- 6 Conclusions -- References -- OCR-LSTM: An Efficient Number Plate Detection System -- 1 Introduction -- 1.1 Tesseract -- 1.2 Opencv -- 1.3 Lstm -- 2 Literature Review -- 2.1 Problem Statement -- 2.2 Objective -- 3 System Model -- 3.1 Conversion of RGB Image to Gray Scale Image -- 3.2 Bilateral Filter -- 3.3 Lstm -- 4 Results and Discussion -- 5 Conclusions -- References -- Artificial Neural Network Alert Classifier for Construction Equipments Telematics (CET) -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 System Model -- 4.1 Problem Formulation -- 5 Proposed Design and Methodology -- 6 Results and Discussion -- 6.1 Data Set -- 6.2 Results -- 7 Conclusions -- References -- Hybrid Approach of Modified IWD and Machine Learning Techniques for Android Malware Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Modified Version of IWD Algorithm -- 3.1 Step 1: The Static Parameters and Dynamic Parameters are Initialized -- 3.2 Step 2: Modified Edge Selection Process -- 3.3 Step 3: Updating Velocity and Soil Values -- 3.4 Step 4: Reinforcement and Termination Phase -- 4 Feature Selection Procedure Using Modified IWD -- 5 Dataset Prepossessing and Experimental Environment -- 5.1 Dataset and Preprocessing -- 5.2 Experimental Environment -- 6 Performance Evaluation Matrix -- 7 Result and Discussions -- 8 Conclusion and Future Work -- References. , Intuitionistic Fuzzy 9 Intersection Matrix for Obtaining the Relationship Between Indeterminate Objects -- 1 Introduction -- 2 Preliminary Concepts -- 2.1 Intuitionistic Fuzzy Set -- 2.2 Intuitionistic Fuzzy Topological Spaces -- 2.3 Related Studies -- 3 Intuitionistic Fuzzy 9 Intersection Matrix -- 4 Application of the Proposed Definitions -- 4.1 Importance of the Proposed Definition -- 4.2 Intuitionistic Fuzzy 9 Intersection Matrix -- 5 Conclusion and Future Work -- References -- A Hybrid Model of Latent Semantic Analysis with Graph-Based Text Summarization on Telugu Text -- 1 Introduction -- 2 Related Work -- 3 Latent Semantic Analysis -- 4 Text Rank Algorithm -- 5 Proposed Algorithm -- 6 Evaluation and Experimental Results -- 7 Conclusion -- References -- A Combined Approach of Steganography and Cryptography with Generative Adversarial Networks: Survey -- 1 Introduction -- 2 Background Works -- 3 Advanced Techniques -- 4 Fallouts and Discussion -- 5 Conclusion -- References -- Real-Time Accident Detection and Intimation System Using Deep Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- Design of Cu-Doped SnO2 Thick-Film Gas Sensor for Methanol Using ANN Technique -- 1 Introduction -- 2 Proposed Experiment -- 3 Result and Discussion -- 4 Conclusion -- References -- Detect Traffic Lane Image Using Geospatial LiDAR Data Point Clouds with Machine Learning Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Land-Usage/Land-Coverage Change Analysis -- 4 Interpretation Concept -- 5 Conclusion and Future Scope -- References -- Classification of High-Dimensionality Data Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Techniques -- 3.1 Naive Bayes Algorithm -- 3.2 Support Vector Machine (SVM). , 3.3 K-Nearest Neighbor (KNN) Algorithm -- 3.4 Principal Component Analysis (PCA) -- 4 Proposed Model -- 5 Performance Evaluation Metrics -- 6 Result Analysis -- 7 Conclusion -- References -- To Detect Plant Disease Identification on Leaf Using Machine Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 Dataset and Attributes -- 5 Application of the Outcomes -- 6 Result Analysis -- 7 Conclusion -- References -- Association and Correlation Analysis for Predicting the Anomaly in the Stock Market -- 1 Introduction -- 2 Related Work -- 3 Data Preparation -- 4 Methodology -- 4.1 Data Mining Association Rule -- 5 Results and Discussion -- 6 Conclusion -- References -- Early Identification of Diabetic Retinopathy Using Deep Learning Techniques -- 1 Introduction -- 1.1 Types of Diabetic Retinopathy -- 2 Literature Review -- 3 Methodology -- 4 Experimentation Setup -- 5 Dataset -- 6 Image Processing -- 6.1 Input Fundus Images -- 6.2 Gray Fundus Images -- 6.3 Gaussian Blur -- 7 Convolution Neural Network Models -- 7.1 Training Using ResNet50 and VGG16 -- 8 Result -- 8.1 Result of ResNet50 -- 8.2 Result of VGG16 -- 8.3 Comparison of Results -- 9 Conclusion -- 10 Future Work -- 11 Competing Interest -- References -- Performance Evaluation of MLP and CNN Models for Flood Prediction -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 3.1 Mlp -- 3.2 CNN -- 3.3 Evaluating Constraint -- 4 Results and Discussions -- 5 Conclusion -- References -- Bidirectional LSTM-Based Sentiment Analysis of Context-Sensitive Lexicon for Imbalanced Text -- 1 Introduction -- 2 Related Work -- 2.1 Classification of Sentiments -- 2.2 Techniques of Supervised Learning -- 2.3 Techniques with No Supervision -- 2.4 Techniques for Semi-Supervised Learning -- 2.5 Ensemble Techniques -- 3 Proposed Methodology -- 3.1 Bidirectional Long Short-Term Memory (BLSTM). , 3.2 Calculating Sentiment Scores.

Note: Intro -- Organizing Committee -- Preface -- Contents -- About the Editors -- 1 Comparison of Different Image Segmentation Techniques on MRI Image -- 1.1 Introduction -- 1.2 Methodology -- 1.2.1 Preprocessing -- 1.2.2 Segmentation Techniques -- 1.3 Results and Discussion -- 1.4 Conclusion -- References -- 2 PSO-ANN-Based Computer-Aided Diagnosis and Classification of Diabetes -- 2.1 Introduction -- 2.1.1 Literature Survey -- 2.2 Feature Selection Approaches -- 2.3 Particle Swarm Optimization (PSO) -- 2.4 Proposed Feature Selection Algorithm -- 2.5 Experimental Results -- 2.6 Conclusion -- References -- 3 Round Robin Scheduling Based on Remaining Time and Median (RRRT& -- M) for Cloud Computing -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Scheduling Algorithms -- 3.4 Experimental Setup and Result Discussions -- 3.4.1 Experimental Setup -- 3.4.2 Performance Metrics -- 3.4.3 Result Discussions -- 3.5 Summary -- References -- 4 Business-Driven Blockchain-Mempool Model for Cooperative Optimization in Smart Grids -- 4.1 Introduction -- 4.2 Related Work -- 4.3 Virtual Power Plant Dispatch Schedules -- 4.3.1 Cost Function Based Optimization -- 4.4 Blockchain -- 4.4.1 Consensus -- 4.5 Consensus and Cooperative Scheduling -- 4.6 Mempool Model -- 4.7 Evaluation and Future Work -- 4.8 Conclusion -- References -- 5 Research of Institutional Technology Diffusion Rules Based on Patent Citation Network-A Case Study of AI Field -- 5.1 Introduction -- 5.2 Data and Method -- 5.3 Results and Discussion -- 5.3.1 Comparative Analysis of Technical Force -- 5.3.2 Technology Diffusion Network and Visualization -- 5.3.3 Measurement of Technology Diffusion Capacity -- 5.4 Conclusion and Limitation -- References -- 6 Impact on the Information Security Management Due to the Use of Social Networks in a Public Organization in Ecuador -- 6.1 Introduction. , 6.2 Materials and Methods -- 6.2.1 Materials -- 6.2.2 Methods -- 6.3 Results -- 6.4 Discussion -- 6.5 Future Work and Conclusion -- References -- 7 Appropriate Security Protocols to Mitigate the Risks in Electronic Money Management -- 7.1 Introduction -- 7.2 Materials and Methods -- 7.2.1 Materials -- 7.2.2 Methods -- 7.3 Results -- 7.4 Discussion -- 7.5 Future Works and Conclusion -- 7.5.1 Future Works -- 7.5.2 Conclusions -- References -- 8 Acceptance and Readiness of Thai Farmers Toward Digital Technology -- 8.1 Introduction -- 8.2 Research Model -- 8.3 Method -- 8.3.1 Questionnaire Instrument -- 8.3.2 Data Analysis -- 8.4 Results -- 8.5 Conclusion -- References -- 9 Neural Network Classifier for Diagnosis of Diabetic Retinopathy -- 9.1 Introduction -- 9.2 Classification -- 9.3 Conclusion -- References -- 10 Comparative Analysis of Data Mining Classification Techniques for Prediction of Heart Disease Using the Weka and SPSS Modeler Tools -- 10.1 Introduction -- 10.2 Literature Review -- 10.2.1 Data Mining Classification Techniques -- 10.3 Experimental Analysis -- 10.3.1 Dataset -- 10.3.2 Result Analysis -- References -- 11 An Automated Framework to Uncover Malicious Traffic for University Campus Network -- 11.1 Introduction -- 11.2 Study Goals -- 11.3 Methodology -- 11.4 Experimental Setup -- 11.5 Observations and Analysis of Framework in Campus Network on Real-Time Basis -- 11.5.1 Dashboard Visualization for Analysis -- 11.6 Conclusion -- 11.7 Future Scope -- References -- 12 Comparative Analysis of K-Means Algorithm and Particle Swarm Optimization for Search Result Clustering -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Experimental Result and Analysis -- 12.3.1 Dataset Details -- 12.3.2 Preprocessing -- 12.3.3 Performance Evaluation -- 12.4 Conclusion -- References. , 13 Design and Implementation of Rule-Based Hindi Stemmer for Hindi Information Retrieval -- 13.1 Introduction -- 13.2 Stemming Approaches -- 13.2.1 Affix Removal Approach -- 13.2.2 N-Gram -- 13.2.3 Suffix Stripping Approach -- 13.2.4 Suffix Substitution Approach -- 13.2.5 Brute-Force Approach -- 13.2.6 Hybrid Approach -- 13.3 Related Work -- 13.4 Proposed Methodology and Implementation -- 13.5 Analysis and Conclusion -- References -- 14 Research on the Development Trend of Ship Integrated Power System Based on Patent Analysis -- 14.1 Introduction -- 14.2 Data and Methods -- 14.3 Results and Discussion -- 14.3.1 Life Cycle Analysis of Patent Technology Development of Foreign Ship Integrated Power System -- 14.3.2 Analysis of Patent Technology Research and Development Direction of Foreign Ship Integrated Power System -- 14.4 Summary -- References -- 15 Detection of Data Anomalies in Fog Computing Architectures -- 15.1 Introduction -- 15.2 Fog Architecture Overview -- 15.3 Anomaly Detection -- 15.3.1 Anomalies -- 15.3.2 Preliminaries for Detection Algorithm -- 15.3.3 Detection Procedure -- 15.4 Computation Algorithm -- 15.5 Related Work -- 15.6 Conclusion -- References -- 16 Cloud Data for Marketing in Tourism Sector -- 16.1 Introduction -- 16.2 Consumer Behavioral Study for the Tourism Industry -- 16.3 Sources of Data -- 16.3.1 Methods of Sourcing Data from Internet -- 16.4 Model for Marketing Data Capture -- 16.4.1 Prediction Theories -- 16.4.2 Marketing -- 16.5 Results -- 16.6 Conclusion -- References -- 17 Road Travel Time Prediction Method Based on Random Forest Model -- 17.1 Introduction -- 17.2 The Principle of Random Forest Algorithm -- 17.3 The Principle of DBSCAN -- 17.4 The Prediction Model of RF-DBSCAN -- 17.4.1 Data Sources -- 17.4.2 Feature Selection -- 17.4.3 The Principle of RF-DBSCAN -- 17.4.4 Comparison of Experiment Results. , 17.5 Conclusions -- References -- 18 Video Synchronization and Alignment Using Motion Detection and Contour Filtering -- 18.1 Introduction -- 18.1.1 Overview -- 18.1.2 Problem Statement -- 18.1.3 Objectives -- 18.1.4 Existing System -- 18.1.5 Proposed System -- 18.2 Literature Survey -- 18.3 System Design -- 18.4 Dataflow of Video Change Detection -- 18.5 Class Diagrams -- 18.6 Experimental Results -- 18.7 Conclusion -- References -- 19 Mutichain Enabled EHR Management System and Predictive Analytics -- 19.1 Introduction -- 19.2 Related Work -- 19.2.1 Verifying the Authenticity of Returned Drugs by Tracking Supply of Authorized Drugs in Supply Chain -- 19.2.2 Transparency and Traceability of Consent in Clinical Trials -- 19.2.3 Incentivized Access to Medical Data -- 19.3 Problem Setting -- 19.4 Proposed Architecture -- 19.4.1 Multichain -- 19.4.2 Off-Chain Storage -- 19.4.3 Hashing -- 19.4.4 Data Analysis -- 19.4.5 Machine Learning -- 19.4.6 Workflow -- 19.5 Conclusion -- References -- 20 Quick Insight of Research Literature Using Topic Modeling -- 20.1 Introduction -- 20.2 Literature Survey -- 20.3 Methodology -- 20.3.1 Preprocessing-Natural Language Processing -- 20.3.2 Topic Modeling -- 20.3.3 Latent Dirichlet Allocation -- 20.4 System Development -- 20.5 Experimental Results -- 20.6 Conclusion -- References -- 21 Secure Cloud-Based E-Healthcare System Using Ciphertext-Policy Identity-Based Encryption (CP-IBE) -- 21.1 Introduction -- 21.1.1 An Overview -- 21.2 Related Work -- 21.3 Proposed Methodology -- 21.3.1 Developing an Efficient Data Storage Scheme -- 21.3.2 Developing a Ciphertext Database Scheme -- 21.4 Conclusion -- References -- 22 Security Vulnerabilities of OpenStack Cloud and Security Assessment Using Different Software Tools -- 22.1 Introduction -- 22.2 Software Architecture -- 22.2.1 Components of OpenStack. , 22.2.2 OpenStack Usage in Cloud Platform -- 22.3 Vulnerabilities in OpenStack -- 22.3.1 Known Vulnerabilities in OpenStack -- 22.3.2 Assessment for Security -- 22.3.3 Network Vulnerability Scanners -- 22.4 Conclusion -- References -- 23 Smart Physical Intruder Detection System for Highly Sensitive Area -- 23.1 Introduction -- 23.2 Literature Survey -- 23.3 Proposed Methodology -- 23.3.1 Working of PIR Motion Sensor -- 23.3.2 Face Recognition Using Viola-Jones Algorithm and KNN Algorithm -- 23.4 Conclusion and Future Scope -- References -- 24 Two-level Classification of Radar Targets Using Machine Learning -- 24.1 Introduction -- 24.2 Phased Array Radar -- 24.3 Design of Multilevel Classifier -- 24.3.1 Signal Level Classification: Level ``0'' -- 24.3.2 Classification Level 1 Using Raw Detection -- 24.3.3 Level 2 Classifier Using Track Data -- 24.4 Fusion of Information with Signal Level Classifier -- 24.5 Simulation and Results -- 24.5.1 Results for Level 1 Classification -- 24.5.2 Classification Level 2 Using Radar Track and Signal Data -- 24.6 Conclusion -- References -- 25 A Cognitive Semantic-Based Approach for Human Event Detection in Videos -- 25.1 Introduction -- 25.2 Methodology -- 25.2.1 Frame Generation -- 25.2.2 Fuzzy C-Mean Clustering (FCM) -- 25.2.3 Feature Extraction -- 25.2.4 CNN Classifier -- 25.3 Test Results and Discussions -- 25.4 Conclusions -- References -- 26 Analysis of Adequate Bandwidths to Guarantee an Electoral Process in Ecuador -- 26.1 Introduction -- 26.2 Materials and Methods -- 26.2.1 Materials -- 26.2.2 Methods -- 26.3 Results -- 26.4 Discussion -- 26.5 Work Futures and Conclusions -- References -- 27 Load and Renewable Energy Forecasting for System Modelling, an Effort in Reducing Renewable Energy Curtailment -- 27.1 Introduction -- 27.2 Literature Review -- 27.3 Proposed Work. , 27.3.1 Neural Network-Based Load Forecasting.

Note: Intro -- Organization -- Chief Patrons -- Patrons -- Organizing Chairs -- Publicity Chairs -- Advisory Committee -- Technical Program Committee -- Preface -- Contents -- About the Editors -- Faster Result Retrieval from Health Care Product Sales Data Warehouse Using Materialized Queries -- 1 Introduction -- 2 Implementation of MQDB for Bioteknika Healthcare Pvt. Ltd -- 3 Experimental Results -- 4 Conclusion -- References -- Sense Scheduling for Robotics Cognitive Intelligence -- 1 Introduction -- 2 Related Work -- 3 Human Though Process Test -- 4 Proposed System Architecture -- 5 Proposed Methodology -- 6 Result and Discussion -- 7 Conclusion -- 8 Conclusion -- References -- Feature Selection Using Ant Colony Optimization and Weighted Visibility Graph -- 1 Introduction -- 2 Review of Literature -- 3 Proposed Work and Experiment -- 3.1 Feature Extraction -- 3.2 Feature Selection -- 4 Performance Analysis -- 4.1 Precision, Recall, Specificity, and F1-Score -- 4.2 Accuracy -- 4.3 False Positive Rate(FPR) and False Negative Rate(FNR) -- 5 Conclusion -- References -- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges -- 1 Introduction -- 2 Genomics -- 2.1 Understanding the Disease -- 2.2 Challenges -- 2.3 Data Sharing -- 3 Pharmacogenomics -- 4 Machine Learning in Pharmacogenomics -- 4.1 Genome-Wide Association Study (GWAS) -- 4.2 Evolutionary Conservation -- 4.3 Applications of Genomics in Diabetes -- 5 Conclusion -- References -- Personalised Structure Balance Theory-Based Movie Recommendation System -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Pre-processing Module -- 3.2 Product-Based Recommendation Module -- 3.3 User-Based Recommendation Module -- 3.4 Prediction Module -- 4 Results -- 5 Conclusion -- References. , Machine Learning Techniques for the Investigation of Phishing Websites -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 3.1 Dataset -- 3.2 Data Preparation and Preprocessing -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Work -- References -- Feature Extraction and Classification of Gestures from Myo-Electric Data Using a Neural Network Classifier -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Data Segmentation -- 3.3 Feature Extraction and Classification -- 4 Discussion and Results -- 5 Conclusion -- References -- Text-Convolutional Neural Networks for Fake News Detection in Tweets -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Data Preprocessing -- 3.2 Embedding Matrix -- 3.3 Classification -- 4 Experiments -- 4.1 Dataset -- 4.2 Feature Extraction -- 5 Results and Discussion -- 6 Conclusion -- References -- Effect of Soil and Climatic Attribute on Greenhouse Gas Emission from Agriculture Sector -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Acquisition -- 3.2 Database Creation -- 3.3 Data Preprocessing -- 3.4 Feature Extraction -- 3.5 Analysis of Features -- 3.6 Prediction Model -- 4 Result Analysis -- 4.1 Crop-Wise GHGs Emission -- 4.2 Season-Wise GHGs Emission -- 4.3 Most Influencing Parameter for Prediction of GHGs Emission -- 4.4 Using Deep Learning Approach -- 5 Conclusion -- References -- Optimal Image Feature Ranking and Fusion for Visual Question Answering -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Image Feature Extraction -- 3 Ranking and Feature Fusion (RFF) Framework -- 3.1 Overall Architecture -- 3.2 Feature Ranking -- 3.3 Feature Fusion -- 4 Results and Discussions -- 5 Conclusion -- References -- An Investigation on Indoor Navigation Systems -- 1 Introduction. , 2 Path Selection Taxonomy -- 2.1 Uninformed Search Algorithm -- 2.2 Informed Search Algorithm -- 3 Object or Obstacle Detection Taxonomy -- 3.1 CNN Algorithm -- 3.2 RCNN Algorithm -- 3.3 Fast RCNN Algorithm -- 3.4 Faster RCNN Algorithm -- 3.5 YOLO -- 4 Conclusion -- References -- Conceptualization and Design of Remotely-Accessible Hardware Interface (RAHI) Laboratory -- 1 Introduction -- 1.1 Background and Problem Identification -- 1.2 Literature Review and Proposed Solution -- 2 Technical Description -- 2.1 Server -- 2.2 Raspberry Pi and Hardware -- 2.3 Web Application -- 3 Discussion -- 3.1 Testing -- 3.2 Analysis -- 4 Future Scope -- 5 Conclusion -- References -- A Non-invasive approach for Driver Drowsiness Detection using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Disaster Severity Analysis from Micro-Blog Texts Using Deep-NN -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Input Layer -- 3.2 Convolution Layer -- 3.3 Max-Pooling Layer -- 3.4 RNN Layer -- 3.5 Fully Connected Layer -- 4 Experimental Setup -- 4.1 Preparation of Datasets -- 4.2 Word-Embeddings -- 4.3 Network Training -- 5 Results and Discussion -- 6 Conclusion -- References -- WEKA Result Reader-A Smart Tool for Reading and Summarizing WEKA Simulator Files -- 1 Introduction -- 2 The WEKA Result Reader (WRR) -- 3 Performance Evaluation -- 3.1 Application-Level Testing of WRR Tools -- 3.2 System-Level Testing of WRR Tools -- 4 Conclusion -- References -- Predicting Reliability of Web Services Using Hidden Markov Model -- 1 Introduction -- 2 Models of NHPP -- 3 Hidden Markov Model for Reliability Model -- 3.1 Modeling the Failure Process with HMM -- 3.2 Parameter Estimation -- 3.3 Restoration of Hidden States. , 3.4 Bayesian Information Criterion (BIC) -- 4 Experiments -- 5 Conclusion -- References -- Optimal Contrast and Size-Invariant Recursive VCS Using Perfect Reconstruction of White Pixels -- 1 Introduction -- 2 Recursive Visual Cryptography Scheme -- 2.1 The RVCS Model -- 2.2 Working Example of RVCS -- 3 The Proposed Model: Size-Invariant RVCS with PRWP -- 3.1 Experimental Results -- 3.2 Analysis of Experimental Results -- 4 Conclusion -- References -- Performance Analysis of Brain Imaging Using Enriched CGLS and MRNSD in Microwave Tomography -- 1 Introduction -- 1.1 Related Works -- 2 Formulation of the Proposed Forward Process -- 3 Importance of Enriched CGLS and MRNSD Regularization Methods -- 4 Numerical Results and Discussion -- 4.1 Simulation Setup and Dataset -- 4.2 Performance Analysis on Varying Number of Antennas and Frequencies -- 4.3 Performance Analysis on Noise Distortion -- 5 Conclusion -- References -- Analysis and Identification of EEG Features for Mental Stress -- 1 Introduction -- 2 Methodology -- 2.1 Brief Procedure -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 3 Results -- 4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Blockchain-Based Grievance Management System -- 1 Introduction -- 2 Benefits Over Current System -- 3 Approach -- 3.1 Working -- 3.2 System Architecture -- 3.3 Mathematical Model -- 4 Implementation -- 5 Conclusion -- References -- Utility of Neural Embeddings in Semantic Similarity of Text Data -- 1 Introduction -- 2 Neural Embedding Techniques -- 3 Methodology -- 4 Data Management -- 5 Experimental Results -- 5.1 Similarity Score Distribution -- 5.2 D-Prime -- 6 Conclusion -- References -- Big Data and Machine Learning Analytics to Detect Epileptic Seizures with Minimum Delay Using Random Window Optimization -- 1 Introduction -- 2 Big Datasets and Machine Learning. , 3 Epileptic Seizure Detection -- 4 Related Work -- 5 Methods -- 5.1 Support Vector Machine -- 5.2 Artificial Neural Network -- 6 Methodology -- 6.1 Top-K Amplitude Measure -- 6.2 Multiwindow Measure -- 6.3 Workflow -- 7 Results and Discussion -- 8 Conclusion -- References -- An Efficient Evaluation of Spatial Search on Road Networks Using G-Tree -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 G-Tree Indexing for Finding SPSP Based on Distance -- 4 Experimental Evaluation and Results -- 5 Conclusion -- References -- Investigation into the Efficacy of Various Machine Learning Techniques for Mitigation in Credit Card Fraud Detection -- 1 Introduction -- 2 Related Works -- 2.1 Machine Learning Algorithms -- 3 Proposed Methodology -- 4 Experimental Study -- 4.1 Credit Card Dataset -- 4.2 Design of Experiments -- 4.3 Performance Evaluation Measures -- 5 Results and Discussions -- 6 Conclusion and Future Work -- References -- Temporal Modeling of On-Street Parking Data for Detection of Parking Violation in Smart Cities -- 1 Introduction -- 2 Related Work -- 3 Data Collection and Preliminary Analysis -- 4 Problem Formulation -- 5 Proposed Approach -- 5.1 Proposed Detection Model -- 5.2 Proposed Algorithm -- 6 Simulation Results and Analysis -- 7 Conclusion and Future Work -- References -- Performance Optimization of Big Data Applications Using Parameter Tuning of Data Platform Features Through Feature Selection Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 4 Experiments and Results -- 5 Conclusion -- References -- Development of Emotional Decision-Making Model Using EEG Signals -- 1 Introduction -- 2 Methodology -- 2.1 Design of Experiment -- 3 Decision-Making Model -- 4 Conclusion -- References -- HMM Classifier Object Recognizing System in Brain-Computer Interface -- 1 Introduction -- 2 State of Art Development. , 3 Background.

Note: Intro -- Organization -- Chief Patrons -- Patrons -- Organizing Chairs -- Publicity Chairs -- Advisory Committee -- Technical Program Committee -- Preface -- About This Book -- Contents -- About the Editors -- Classification of Dry/Wet Snow Using Sentinel-2 High Spatial Resolution Optical Data -- 1 Introduction -- 2 Data Used and Study Area -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Potential of Robust Face Recognition from Real-Time CCTV Video Stream for Biometric Attendance Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 Contributions -- 4 Proposed System -- 5 Algorithm -- 6 Results -- 7 Conclusion -- References -- ATM Theft Investigation Using Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Data Processing and Data Set -- 5 Results and Analysis -- 6 Conclusion and Future Work -- References -- Classification and Prediction of Rice Crop Diseases Using CNN and PNN -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Algorithms -- 5 Result and Discussion -- 6 Conclusion -- References -- SAGRU: A Stacked Autoencoder-Based Gated Recurrent Unit Approach to Intrusion Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed SAGRU Approach -- 3.1 Stacked Autoencoder Feature Extraction (SAFE) -- 3.2 Gated Recurrent Unit Learning (GRUL) -- 3.3 SAGRU-Based Intrusion Detection -- 4 Performance Analysis -- 5 Conclusion -- References -- Comparison of KNN and SVM Algorithms to Detect Clinical Mastitis in Cows Using Internet of Animal Health Things -- 1 Introduction -- 2 Literature Study -- 3 Methodology -- 4 A Sack for Data Acquisition and Testing -- 5 Result -- 6 Conclusion -- References -- Two-Way Face Scrutinizing System for Elimination of Proxy Attendances Using Deep Learning -- 1 Introduction -- 1.1 Comparison with Previous Works. , 2 Methodology -- 2.1 Encoding Faces Present in an Image -- 2.2 Face Recognition -- 3 Algorithm for Eliminating Proxies -- 4 Blynk -- 5 Validation -- 6 Conclusion -- References -- Ontology-Driven Sentiment Analysis in Indian Healthcare Sector -- 1 Introduction -- 2 Literature Overview -- 3 Ayushman Bharat Yojana (PM Jan Arogya Yojana) -- 3.1 Key Benefits of the Scheme -- 3.2 Beneficiaries of the Scheme -- 3.3 Impact of the Scheme on the Beneficiaries -- 4 An Overview of the Ontology -- 4.1 Tools and Resources Used -- 4.2 Ontology: An Overview -- 5 Proposed Work -- 5.1 Data Acquisition -- 5.2 Data Cleaning and Preprocessing -- 5.3 Extracting Features -- 5.4 Training the Model -- 6 Observations and Results -- 7 Conclusion -- 8 Future Work -- References -- Segmentation of Nuclei in Microscopy Images Across Varied Experimental Systems -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Dataset Used -- 3.2 Data Augmentation Used -- 3.3 Model Architecture -- 3.4 Loss Function Used -- 3.5 Evaluation Metric Used -- 4 Experiments and Results -- 5 Conclusion -- References -- Transitional and Parallel Approach of PSO and SGO for Solving Optimization Problems -- 1 Introduction -- 1.1 Traditional Optimization Tools -- 1.2 Non-traditional Optimization Tools -- 2 Preliminaries -- 2.1 Function Optimization -- 2.2 Benchmark Functions -- 2.3 Evolutionary Technique -- 3 Proposed Approach: Hybridization PSO with SGO -- 4 Simulation Results and Discussion -- 5 Conclusion -- References -- Remote Sensing-Based Crop Identification Using Deep Learning -- 1 Introduction -- 2 Literature Study -- 3 Methodology -- 3.1 Overview of Proposed Method -- 3.2 Convolution -- 3.3 Max pooling -- 3.4 Dense Node -- 3.5 Softmax -- 4 Results and Discussion -- 5 Conclusion -- References. , Three-Level Hierarchical Classification Scheme: Its Application to Fractal Image Compression Technique -- 1 Introduction -- 2 Basic FIC Technique -- 3 Proposed Three-Level Hierarchical Classification (3-LHC) Scheme -- 3.1 Elementary Analysis -- 3.2 Proposed Modification -- 4 Results and Analysis -- 5 Conclusion -- References -- Prediction of POS Tagging for Unknown Words for Specific Hindi and Marathi Language -- 1 Introduction -- 1.1 POS Tagging -- 1.2 Limitations of Current POS Tagging System -- 2 Related Work -- 3 Contributions -- 4 Proposed Methodology -- 4.1 Hidden Markov Model -- 4.2 Viterbi Algorithm -- 4.3 Naïve Bayes Algorithm -- 5 Result and Analysis -- 6 Conclusion -- 7 Future Work -- References -- Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems -- 1 Introduction and Literature Review -- 2 Methodology -- 3 Results and Discussion -- 4 Conclusion -- References -- Sentiment Analysis on Movie Review Using Deep Learning RNN Method -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 4 Implementation Tools -- 5 Performance Analysis -- 6 Conclusions and Future Work -- References -- Super Sort Algorithm Using MPI and CUDA -- 1 Introduction -- 2 Sorting Algorithm -- 3 Result -- 4 Conclusion and Future Work -- References -- Significance of Network Properties of Function Words in Author Attribution -- 1 Introduction -- 2 Author Identification Problem -- 3 Related Works -- 4 Complex Network Approach to Author Identification Problem -- 4.1 Methodology -- 5 Results and Discussions -- 6 Conclusion -- References -- Performance Analysis of Periodic Defected Ground Structure for CPW-Fed Microstrip Antenna -- 1 Introduction -- 2 Design of CPW-Fed Microstrip Antenna -- 3 Circular-Shaped PDGS Structure -- 4 Fabrication and Validation of Antenna -- 5 Conclusion -- References. , Energy Aware Task Consolidation in Fog Computing Environment -- 1 Introduction -- 2 Related Works -- 3 Fog Computing Architecture -- 4 Proposed Energy-Saving Task Consolidation Algorithm -- 5 Simulation Results -- 6 Conclusion -- References -- Modelling CPU Execution Time of AES Encryption Algorithm as Employed Over a Mobile Environment -- 1 Introduction -- 2 Related Literature -- 3 Description of Our Model -- 3.1 Scheme 1 -- 3.2 Scheme 2 -- 4 Experimental Analysis of Data -- 4.1 Scheme 1 -- 4.2 Scheme 2 -- 5 Comparison of Models -- 5.1 Scheme 1 -- 5.2 Scheme 2 -- 5.3 Comparison Between Scheme 1 and Scheme 2 -- 6 Conclusions -- References -- Gradient-Based Feature Extraction for Early Termination and Fast Intra Prediction Mode Decision in HEVC -- 1 Introduction -- 2 Proposed Algorithm -- 3 Experimental Results -- 4 Conclusion -- References -- A Variance Model for Risk Assessment During Software Maintenance -- 1 Introduction -- 2 Risks in Software Development and Maintenance -- 3 Factors in Software Risk Assessment During Maintenance -- 3.1 Testing-Related Risk Factors -- 4 Variance Model for Software Risk Assessment -- 5 Discussion of the Variance Model -- 5.1 Development of a Risk Measurement Toolkit -- 5.2 Maturing of the Risk Model: An Aquatic Profile for Risk Maturity Management (APRMM) -- 6 Conclusions -- References -- Cyber Attack Detection Framework for Cloud Computing -- 1 Introduction -- 2 Cloud Security Attacks -- 3 Proposed Framework -- 3.1 Data Capturing -- 3.2 Filtering and Feature Extraction -- 3.3 Intrusion Detection Model Design -- 3.4 Knowledge Extraction Block -- 4 Performance Evaluation of Proposed Framework -- 4.1 Result Analysis -- 5 Conclusion -- References -- Benchmarking Semantic, Centroid, and Graph-Based Approaches for Multi-document Summarization -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology. , 3.1 Sort by Importance Score Algorithm -- 3.2 K-Means Clustering -- 3.3 Gaussian Mixture Method -- 3.4 Graph-Based Approach -- 4 Experimental Results and Analysis -- 5 Conclusion and Future Work -- References -- Water Availability Prediction in Chennai City Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Support Vector Regression -- 4 Experimental Results and Analysis -- 4.1 Analysis of Water Levels of Reservoirs -- 4.2 Analysis of Rainfall Levels of Reservoir Regions -- 4.3 Analysis of Chennai Population -- 4.4 Prediction of Water Availability per Person -- 5 Conclusion and Future Work -- References -- Field Extraction and Logo Recognition on Indian Bank Cheques Using Convolution Neural Networks -- 1 Introduction -- 2 Background -- 2.1 Object Detection -- 3 Proposed Methodology -- 3.1 Preprocessing -- 3.2 Localization -- 3.3 Bank Name and Logo Recognition -- 3.4 Experimental Setting -- 4 Dataset Description -- 4.1 Evaluation Metrics -- 5 Results and Discussions -- 6 Conclusions -- References -- A Genetic Algorithm Based Medical Image Watermarking for Improving Robustness and Fidelity in Wavelet Domain -- 1 Introduction -- 2 Related Work -- 3 Proposed Scheme -- 3.1 Proposed Multiple Watermarks Embedding in Wavelet Domain -- 3.2 Proposed Chromosome-Based Encoding for Finding Optimal Embedding Location -- 3.3 Chromosome Selection -- 3.4 Crossover and Mutation -- 4 Watermark Extraction and Genetic Algorithm Process -- 5 Experimental Results and Discussions -- 6 Conclusion -- References -- Developing Dialog Manager in Chatbots via Hybrid Deep Learning Architectures -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Data Preparation -- 3.2 Word2Vec Embedding + 1DCNN + LSTM (W1CNNL) -- 3.3 Word2Vec + CNN Embedding + LSTM (WCNNL). , 3.4 Word2Vec + BiLSTM with Attention Embedding + LSTM (WBWAL).

Note: Intro -- Preface -- Conference Organization -- Contents -- Deep Learning/Machine Learning on Information and Signal Processing -- Cell Detection and Counting Method Based on Connected Domain of Binary Image -- Abstract -- 1 Introduction -- 2 Cell Image Preprocessing -- 2.1 Gray -- 2.2 USM Sharpening Processing -- 3 Cell Segmentation -- 3.1 Binarization -- 3.2 Morphological Treatment -- 4 Cell Counting -- 5 Experimental Results and Analysis -- 6 Conclusions -- References -- 2D DOA Estimation Based on Modified Compressed Sensing Algorithm -- Abstract -- 1 Introduction -- 2 Problem Formulation -- 3 2D Multitasking CS Algorithm Based on SVD -- 3.1 2D Off-Grid Algorithm Based on Taylor Expansion -- 3.2 OMP Reconstruction Method Based on SVD -- 3.3 Multi-task Processing -- 4 Performance Study -- 5 Concluding Remarks -- References -- Perceptual Quality Enhancement with Multi-scale Deep Learning for Video Transmission: A QoE Perspective -- 1 Introduction -- 2 Related Work -- 3 Perceptual Quality Enhancement Model -- 3.1 Network Architecture -- 3.2 Perceptual Quality Optimization -- 3.3 Multi-scale Deep Learning Model -- 4 Experiments -- 4.1 Settings -- 4.2 Performance of the Proposed Approach -- 4.3 Ablation Study -- 5 Conclusions -- References -- Indoor Map Construction Method Based on Geomagnetic Signals and Smartphones -- Abstract -- 1 Introduction -- 2 Related Work -- 3 IMC-GSS Algorithm -- 3.1 Pedestrian Track Atomization -- 3.2 Hierarchical Clustering -- 3.3 Multi-track Fusion -- 3.4 Map Construction Based on Graphic Extension Algorithm -- 4 Simulation and Results Analysis -- 4.1 Experimental Setup -- 4.2 Evaluation of Performance -- 5 Conclusion -- References -- An Improved Generation Method of Adversarial Example to Deceive NLP Deep Learning Classifiers -- Abstract -- 1 Introduction. , 2 Performance and Problem Analysis of DeepWordBug Adversarial Example Generation Algorithm -- 2.1 Introduction of DeepWordBug -- 2.2 Performance of DeepWordBug -- 2.3 Problem Analysis -- 3 Improvement Strategy -- 3.1 Improvement of DeepWordBug -- 3.2 Further Improvement -- 4 Conclusion -- Acknowledgements -- References -- Encryption Analysis of Different Measurement Matrices Based on Compressed Sensing -- Abstract -- 1 Introduction -- 2 Theoretical Basis -- 2.1 Compressed Sensing Model -- 2.2 Chaotic Mapping -- 2.3 Measurement Matrix -- 3 Encryption Scheme -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Indoor Visual Positioning Based on Image Retrieval in Dense Connected Convolutional Network -- Abstract -- 1 Introduction -- 2 System Description -- 2.1 Resnet Structure -- 2.2 DenseNet Network Structure -- 3 Experimental Results -- 3.1 Dataset Preparation -- 3.2 Feature Extraction -- 3.3 Performance Analysis -- 4 Conclusion -- References -- Coin Recognition Based on Physical Detection and Template Matching -- Abstract -- 1 Introduction -- 2 Approach -- 2.1 Equipment Selection in the Imaging System -- 2.2 Coin Classification System (Image Processing System) -- 2.3 Template Matching -- 3 Results -- 4 Conclusion -- Acknowledgement -- References -- Generative Adversarial Network for Generating Time-Frequency Images -- Abstract -- 1 Introduction -- 2 Time-Frequency Analysis Generates Time-Frequency Images -- 3 Generative Adversarial Network Secondary Generation Time-Frequency Image -- 4 Validity Test Using Singular Values -- 5 Experiment and Analysis -- 6 Conclusion -- Acknowledgment -- References -- Research on Weak Signal Detection Method Based on Duffing Oscillator in Narrowband Noise -- Abstract -- 1 Introduction -- 2 Related Research Work -- 3 Duffing Oscillator Weak Signal Detection Theory. , 3.1 Basic Theory of Duffing Oscillator -- 3.2 Using Duffing Oscillator to Detect Communication Signals -- 4 Weak Signal Frequency Detection Method Under Narrowband Noise -- 5 Conclusion -- References -- AI in Ubiquitous Mobile Wireless Communications -- Research on an Intelligent Routing Strategy for Industrial Internet of Things -- Abstract -- 1 Introduction -- 2 Research Background -- 3 Industrial IoT Model -- 3.1 Model Structure Analysis -- 3.2 Quality Analysis of Node Communication Link -- 4 Research on Intelligent Routing Strategy -- 4.1 Routing Metric EEM -- 4.2 Optimization Strategy -- 5 Experimental Simulation -- 5.1 Simulation Environment -- 6 Conclusion -- References -- Joint Equalization and Raptor Decoding for Underwater Acoustic Communication -- Abstract -- 1 Introduction -- 2 System Model -- 2.1 LDPC Encoding -- 2.2 LT Encoding -- 3 Joint Equalization and Raptor Decoding -- 4 Simulation Results and Discussion -- 5 Conclusions -- Acknowledgments -- References -- Design of Wireless Communication System for CNC Machine Tools -- Abstract -- 1 Introduction -- 2 Design of Wireless Control System Based on ZigBee Star Network -- 2.1 Brief Introduction of ZigBee -- 2.2 Design Scheme -- 3 Hardware System Design for CNC Machine -- 3.1 System Design -- 3.2 Hardware Selection -- 3.3 Uboot Startup Program -- 3.4 Operating System -- 3.5 Linux Kernel Tailoring and System Porting -- 3.6 Wireless Network Card Driver Transplantation and Configuration -- 3.7 Writing Application Software -- References -- Energy Efficiency Optimization for Subcarrier Allocation-Based SWIPT in OFDM Communications -- 1 Introduction -- 2 System Model and Problem Formulation -- 2.1 System Model -- 2.2 Problem Formulation -- 3 Optimal Solution -- 3.1 Optimizing p with Fixed G -- 3.2 Obtaining the Optimal G -- 4 Simulations Result -- 5 Conclusions -- References. , Comparative Analysis of Communication Links Between Earth-Moon and Earth-Mars -- Abstract -- 1 Introduction -- 2 Similarities and Differences in the Communication Environment Between Earth-Moon and Earth-Mars -- 3 Analysis and Simulation of Mars Channel Fading Characteristics -- 3.1 Atmospheric Loss in the Mars Channel -- 3.2 Sandstorm Loss in the Mars Channel -- 4 The Characteristics of Radio Wave Transmission on the Surface of Moon and Mars -- 5 Conclusion -- References -- Compact Miniature MIMO Array Antenna Towards Millimeter Wave -- Abstract -- 1 Introduction -- 2 77 GHz Microstrip Feed Patch MIMO Antenna -- 2.1 The Structure of MIMO Antenna -- 2.2 Design of MIMO Antenna -- 3 77 GHz Series-Fed MIMO Antenna for Chebyshev Distribution -- 3.1 The Structure of MIMO Antenna -- 3.2 Design of MIMO Antenna -- 4 Conclusion -- Acknowledgement -- References -- Adaptive Technologies of Hybrid Carrier Based on WFRFT Facing Coverage and Spectral Efficiency Balance -- Abstract -- 1 Introduction -- 2 HC System Based on WFRFT -- 2.1 HC Communication System -- 2.2 The Structure Diagrams of Transmitter and Receiver -- 3 The Relationships Between Coverage and Spectral Efficiency in the Flat Fading Channel -- 3.1 PAPR and MATP -- 3.2 The Relationships Between Coverage and Spectral Efficiency -- 4 Switching Strategy of Carrier Schemes and MCSs Under Power Control in the Frequency-Selective Fading Channel -- 4.1 Power Control -- 4.2 BLER Performances of Different Carrier Schemes and MCSs -- 4.3 Switching Strategy of Carrier Schemes and MCSs Under Power Control -- 5 Conclusion -- Acknowledgement -- References -- Towards Knowledge-Driven Mobility Support -- 1 Introduction -- 2 Background -- 2.1 IP and NDN Architecture -- 2.2 The Mobility Support Problem and Solution Space -- 3 Cross-architectural Host Dimension Approaches -- 3.1 Proxy-Based Approach (Proxy). , 3.2 Resolution-Based Approach (Resolution) -- 3.3 Routing-Based Approach (Routing) -- 3.4 Trace-Based Approach (Trace) -- 4 The Knowledge Dimension of Mobility Support -- 4.1 Topology-Driven Intermediate Placement (TIP) -- 4.2 Trajectory-Driven Reachability Update (TRU) -- 4.3 Architectural Requirements of Supporting the Knowledge Dimension -- 5 A Quantitative Cross-architectural Mobility Support Performance Evaluation Framework -- 5.1 Basic Models -- 5.2 Metric Definition and Calculation -- 5.3 Compound Scenario - Upload -- 6 Evaluation -- 6.1 Network Topology Settings -- 6.2 Movement Pattern Settings -- 6.3 Results -- 6.4 The Effectiveness of KD Approaches -- 7 Related Work -- 8 Concluding Remarks -- References -- An Efficient Energy Efficiency Power Allocation Algorithm for Space-Terrestrial Satellite NOMA Networks -- 1 Introduction -- 2 System Model and Problem Formulation Scheme -- 2.1 System Model -- 2.2 Problem Formulation Scheme -- 3 Stacklberg Game Formulation and Energy Efficiency Optimization -- 3.1 Stacklberg Game -- 3.2 Problem Optimization -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Research and Equilibrium Optimization of AODV Routing Protocol in Ad Hoc Network -- Abstract -- 1 Introduction -- 2 AODV Protocol and Working Principle -- 2.1 The Advantages and Inadequate of AODV Protocol -- 2.2 The Working Process of AODV Protocol -- 3 Optimization of AODV Routing Protocol -- 3.1 Optimization of Routing Discovery Process -- 3.2 Optimization of Route Maintenance -- 4 Simulation Analysis -- 5 Conclusions -- References -- AI in UAV-Assisted Wireless Communications -- Optimization of OLSR Protocol in UAV Network -- Abstract -- 1 Introduction -- 2 MPRs Selection Algorithm -- 3 Optimization of HELLO Message and TC Packet Transmission -- 3.1 Optimization of HELLO Message Sending Interval. , 3.2 Adaptive Optimization of TC Grouping.

Note: Intro -- Preface -- Contents -- Editors and Contributors -- Implementation of Healthcare System Using Android Application Storing Health Records in Cloud -- 1 Introduction -- 1.1 Cloud Computing -- 1.2 Healthcare Using IoT -- 1.3 Security in Healthcare System -- 2 Existing System -- 2.1 Disadvantages -- 3 Proposed System -- 3.1 Advantages -- 4 Doctor Application -- 4.1 Doctor Registration Page -- 4.2 Second Page -- 4.3 Patient Application -- 5 Conclusion -- References -- Threshold and Segmentation-Based X-ray Imaging Analysis for Covid-19 Detection -- 1 Introduction -- 2 Image Enhancement -- 3 Segmentation of Lungs from X-ray -- 4 Conclusion -- References -- Feature-Based Squids Classification Using Fuzzy Logic -- 1 Introduction -- 2 Image Acquisition -- 3 Fuzzy Rule-Based System -- 4 Result Analysis -- 5 Conclusion -- References -- In Silico Platforms for Systems Toxicology -- 1 Introduction -- 2 Mechanisms of Toxicity -- 3 Systems or Predictive Toxicology -- 3.1 The Phenomenon of Systems/Predictive Toxicology -- 3.2 Molecular-Level Assessment of Adverse Effects -- 4 Computational Platforms for Systems Toxicology -- 4.1 CADD -- 4.2 CRDD -- 4.3 Current Computational Toxicological Works -- 5 Limitations -- 6 Conclusion -- References -- Comparative Analysis on Factors Affecting Accuracy of Seizure Detection Using EEG Signal Processing -- 1 Introduction -- 2 Review of EEG Datasets Available -- 2.1 CHB-MIT Dataset [1] -- 2.2 Dataset of Bonn University, Germany [2, 3] -- 2.3 Freiburg Hospital -- 2.4 Temple University Dataset -- 2.5 Karunya University [5] -- 2.6 EPILEPSIAE -- 3 Seizure Detection Features: Various Domains -- 3.1 Features in Time Domain -- 3.2 Features in Frequency Domain: Comparison -- 3.3 Time-Frequency Features -- 3.4 Statistical Features -- 4 Classification Techniques -- 5 Conclusion -- References. , Identification of Coronavirus (COVID-19) Long Non-coding RNAs (lncRNAs) Using Machine and Deep Learning Approaches -- 1 Introduction -- 2 About Long Non-coding RNA -- 2.1 COVID-19-Associated lncRNAs Analysis -- 3 The Analysis of lncRNA-Associated Diseases Using Machine and Deep Learning Approaches -- 4 The COVID-19-Associated lncRNAs Identification Using Machine and Deep Learning Approaches -- 5 Conclusion -- References -- Predictive Analysis of Damage Occurred Due to Natural Disasters Using Whale-Optimization Algorithm-Based Hybrid Computation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Whale Optimization Algorithm (WOA) -- 2.2 Selection of Mathematical Model for Searching Path -- 2.3 Dataset -- 3 Modified Whale Optimization Algorithm (MWOA) -- 4 Proposed Hybrid Prediction Model (MWOA-MLP) -- 5 Results and Analysis -- 6 Conclusion -- References -- Remote Access for Advanced Mobile Communication Systems -- 1 Introduction -- 1.1 General -- 1.2 Objective and Scope of Work -- 2 Global Systems for Mobile Communications -- 2.1 GSM Network Architecture -- 2.2 Basics of Network Performance and Optimization -- 3 Operation Support Subsystem -- 3.1 Network Management System -- 3.2 Network Management Architecture -- 3.3 Network Planning -- 3.4 RBS Operation and Maintenance -- 3.5 OMCR Functions -- 4 Radio Base Station Hardware Unit -- 4.1 RBS Functions -- 4.2 RBS Implementation -- 5 Remote Access Tool -- 5.1 General -- 5.2 Designers -- 5.3 Microsoft Visual C# -- 5.4 Installation -- 6 Conclusion -- References -- A Statistical Study on Coronary Artery Disease Using Discriminant Analysis -- 1 Introduction to Heart Disease -- 2 Overview -- 3 Methodology -- 3.1 Data Collection -- 3.2 About the Software -- 3.3 Uses and Advantages -- 4 Empirical Work -- 5 Conclusion -- References. , A Study to Assess the Knowledge and Opinion of Mid-Level Health Providers of Chittoor District Regarding m-Health -- 1 Introduction -- 2 Need for the Study -- 3 Objectives: To Assess -- 4 Review of Literature -- 5 Study Methodology -- 6 Data Analysis -- 7 Discussion and Conclusion -- References -- Machine Learning Techniques for Identifying Diabetes and Its Complications Based on Long Non-coding RNAs -- 1 Introduction -- 2 Diabetes Mellitus -- 2.1 Types of Diabetes -- 3 lncRNA -- 3.1 lncRNAs Classifications and Functions -- 3.2 lncRNAs in Diabetes Complications -- 3.3 Future of lncRNAs in Diabetic Complications -- 4 Machine Learning -- 4.1 Machine Learning Categories -- 4.2 Literature Review -- 4.3 LncRNA Identification Tools by Machine Learning Algorithms -- 5 Conclusions -- References -- Computational Method on Breast Cancer Survival Data Using Binary Classification Models -- 1 Introduction -- 2 Data Collection -- 3 About Software -- 4 Statistical Tools Used Under Study -- 4.1 Logistic Regression -- 4.2 Logistic Regression in SPSS -- 4.3 Decision Tree Analysis Method -- 4.4 Decision Tree in SPSS -- 5 Experimental Results -- 5.1 Logistic Regression -- 5.2 Decision Tree Output -- 6 Conclusion -- References -- Percentage Nucleotide Concentration and Classification of SARS-Corona Viruses -- 1 Introduction -- 2 Data Used for Analysis -- 2.1 Severe Acute Respiratory Syndrome Corona Virus 2 2019-nCoVPHnCOV20026 N Gene for Nucleocapsid Phosphoprotein, Partial Cds -- 2.2 Wuhan Seafood Market Pneumonia Virus Genome Assembly, Chromosome: WholeGenome -- 3 Percentage Nucleotide Concentration -- 3.1 Some Important Observations from pA, pT, pG and pC -- 4 Changes in Percentage Nucleotide Concentration -- 5 Conclusions -- References -- The Role of Law and Regulation on the Intersection of Bioprospecting and Bio Piracy -- 1 Introduction. , 2 Colonial Origins of Bio Piracy -- 3 Indigenous Methods and Bioprospecting -- 4 Regulation of Bioprospecting -- 5 Global and National Efforts to Combat Bio Piracy -- 6 Conclusion -- References -- Robust Face Recognition Using Multi-scale Feature Pattern Sparse Representation with Extreme Learning Machine -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Multi-scale Feature Pattern-Based ELM -- 4 Experimental Results and Analysis -- 4.1 Data Set Description -- 4.2 Result Analysis -- 5 Conclusions -- References -- A Review of Diabetic Retinopathy Screening Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Research Challenges -- 2.2 Performance Evaluation Metrics -- 3 Generalized System Architecture -- 3.1 Image Acquisition -- 3.2 Preprocessing -- 3.3 Segmentation -- 3.4 Feature Extraction -- 3.5 Feature Selection -- 3.6 Classification -- 4 Conclusion -- References -- A Novel Framework for Modeling Medical-Sensitive Big Data Using Document-Based Database -- 1 Introduction -- 2 Literature Review -- 3 Modeling Medical-Sensitive Big Data -- 4 Conclusion -- References -- Studies on Effect of Leaf Roller (Diaphania pulverulentalis) Infestation on the Mineral Composition of Mulberry (Morus Sp.) Varieties -- 1 Introduction -- 2 Materials and Methodology -- 2.1 Estimation of Nitrogen in Mulberry Leaves -- 2.2 Estimation of Phosphorous in Mulberry Leaves -- 2.3 Estimation of Potassium in Mulberry Leaves -- 3 Results and Discussion -- 3.1 Macronutrients -- 3.2 Micronutrients -- 4 Conclusion -- References -- Performance Comparison of Semantic Web Data Using Virtual and Cloud Services -- 1 Introduction -- 2 Overview of Map-Reduce -- 3 Literature Survey -- 3.1 Node Management -- 4 Experimental Work -- 4.1 Virtual Node Management -- 4.2 Cloud Node Management -- 5 Conclusion -- References. , Analysis of Bio Vanillin Production from Waste Material by HPTLC -- 1 Introduction -- 2 Materials and Methods -- 2.1 Collection and Milling of Raw Materials -- 2.2 Extraction of Ferulic Acid from Wheat Bran [5] -- 2.3 Ferulic Acid Was Extracted from Wheat Bran by Solvent Method -- 2.4 Bioconversion of Ferulic Acid to Vanillin [6] -- 2.5 Separation of Vanillin from Fermentation Medium -- 2.6 High-Performance Thin Layer Chromatography Analysis [7] -- 3 Results -- 3.1 Collection of Raw Materials -- 3.2 Extraction of Ferulic Acid from Wheat Bran -- 3.3 Ferulic Acid Was Extracted from Wheat Bran by Solvent Method -- 3.4 Bioconversion of Ferulic Acid into Vanillin -- 3.5 Biotransformation of Ferulic Acid by Positive Strain -- 3.6 High-Performance Thin Layer Chromatography Analysis -- 3.7 System Suitability -- 3.8 Linearity -- 3.9 Detection and Limit of Quantification -- 3.10 Accuracy and Precision -- 3.11 Roughness and Toughness -- 4 Results and Discussion -- 5 Conclusion -- References -- Phytochemical Studies and In Vitro Biological Activity of Citrus and Pomegranate Peel Extracts -- 1 Introduction -- 2 Materials and Methods -- 2.1 Collection of Orange Peels and Pomegranate Peels -- 2.2 Preparation of Extracts -- 2.3 Phytochemical Screening -- 2.4 Fourier Transform Infrared Spectrometer (FT-IR) -- 2.5 Antioxidant Activity -- 2.6 Anti-inflammatory Activity -- 3 Results -- 3.1 Phytochemical Studies -- 3.2 FTIR Analysis -- 3.3 Anti-inflammatory Activity -- 4 Discussion -- 5 Conclusion -- References -- Present and Future Prospectives of Microbial Fibrinolytic Enzyme Production and Its Applications -- 1 Introduction -- 2 Types of Cardiovascular Diseases -- 2.1 Mechanism of Fibrinolytic Enzyme -- 2.2 Applications of Fibrinolytic Enzyme -- 2.3 Fibrinolytic Agents -- 2.4 Demerits of Anticoagulants -- 3 Origin of Fibrinolytic Enzymes. , 3.1 Recent Status in Fibrinolytic-Producing Microorganisms.

Note: Intro -- Preface -- Contents -- Editors and Contributors -- Influencing User Intention of Plant-Based Sensing System Adoption in Public Vocational High Schools of Indonesia Using TAM -- 1 Introduction -- 2 Literature Review -- 2.1 The Plant-Based Sensing System Proposed -- 2.2 The Theory of Technology Acceptance Model -- 3 Methodology -- 4 Research Model and Hypothesis -- 4.1 External Variable of Model -- 4.2 Perceived Ease of Use, Perceived Usefulness, Attitude, and Behavioral Intention -- 5 Results -- 5.1 Reliability Analysis -- 5.2 Regression Analysis -- 6 Conclusion -- References -- An Empirical Study of Critical Success Factors for the Adoption of m-Government Services in Tanzania -- 1 Introduction -- 2 Literature Review and Hypothesis Development -- 2.1 m-Government Services in Tanzania -- 2.2 Mobile Services Acceptance Model (MSAM) -- 2.3 Hypotheses Development -- 3 Methodology -- 4 Findings -- 5 Discussion -- 6 Conclusion -- References -- Smart City Based on LoRaWAN: Coverage Study for Cusco Urban Area -- 1 Introduction -- 2 LoRaWAN Technology -- 3 Cusco Urban Area Coverage Simulation -- 4 Data Collection -- 5 Analysis of Experimental Measurements -- 5.1 Efficiency Analysis for SF12 -- 5.2 RSSI Analysis for SF12 -- 5.3 Efficiency and RSSI Analysis for SF7 -- 6 Conclusion -- References -- Digital Transformation in Education in Knowledge Society -- 1 Introduction -- 1.1 Basic Considerations -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- References -- Induction Motor Overload Recognition Based on Sound Analysis -- 1 Introduction -- 2 Related Works -- 3 The Corpus -- 4 The Experiments -- 4.1 Frame-by-Frame Classification -- 4.2 One-Second Segment Classification -- 4.3 Half-a-Second Segment Classification -- 4.4 The Selected Classifier -- 5 Conclusions -- References. , Simulation of an All-Terrain Vehicle Driving Experience Using Virtual Reality -- 1 Introduction -- 2 Materials and Methods -- 2.1 Conception of the Virtual Experience -- 2.2 Learning Programming Tools -- 2.3 Virtual Environment Validation -- 2.4 Conception of the Immersive Environment -- 3 Results -- 4 Discussion -- 5 Conclusions and Recommendations -- References -- Safety-Centric and Smart Outdoor Workplace: A New Research Direction and Its Technical Challenges -- 1 Introduction -- 2 The Need of Dedicated Focus on Smart Outdoor Workplace -- 2.1 Smart Workplace -- 2.2 Smart Outdoor Workplace -- 2.3 Divergent Technology Streams -- 3 Technical Challenges -- 3.1 Diverse and Incompatible Sensors and Devices -- 3.2 Growing Gap Between Battery Technologies and Power Requirements -- 4 Research Prospects Driven by the Identified Challenges -- 4.1 Sandwich Approach to a Knowledge Architecture for Smart Outdoor Workplace -- 4.2 Model-Driven Simulation and Optimization of Energy Consumption in Smart Outdoor Workplace -- 5 Conclusions and Future Work -- References -- Devising Auxiliary Glyph Schemas Combined with XOR Filters for Improvised Font Delivery and Reliable Dynamic Font Augmentation -- 1 Introduction -- 2 Background and Related Work -- 3 Methodology and Algorithm -- 3.1 Basic Font Subsetting Solution and Problems -- 3.2 Client Side: Proposed Data Structures -- 3.3 Font Subsetting and Augmentation Workflows Using Proposed Solution -- 3.4 Flow for an Application Session with the Proposed Solution -- 3.5 XOR Filter Processing for Subset or Font Portion Serving on Server Side -- 4 Conclusion -- References -- Multiple Sequence Alignment Algorithms in Bioinformatics -- 1 Introduction -- 2 Multiple Sequence Alignment (MSA) -- 3 Multiple Sequence Alignment Algorithms (MSA) -- 3.1 ClustalW -- 3.2 Clustal Omega -- 3.3 T-Coffee -- 3.4 MAFFT -- 3.5 Kalign. , 3.6 MUSCLE -- 3.7 Probcons -- 3.8 Genetic Algorithms -- 4 Evaluation of MSA -- 5 Conclusion -- References -- Design and Implementation of a Machine Learning-Based Technique to Detect Unipolar and Bipolar Depression Using Motor Activity Data -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Underwater Magnetic Release System -- 1 Overview -- 2 System Components -- 2.1 The Software -- 3 Power Considerations -- 4 Design Specifics -- 5 Conclusion -- References -- An Optimal Route for People with Ambulant Disabilities Using Mathematical Risk Modeling and Analytic Hierarchy Process -- 1 Introduction -- 2 Methods -- 2.1 Factors Affecting the Selection of Best Route -- 2.2 Mathematical Risk Modeling -- 2.3 AHP Technique -- 3 Results and Discussion -- 4 Conclusion -- References -- The Innovation in Manufacturing Areas of Electronics Industry of Mexicali Using PLC -- 1 Introduction -- 2 Technological Innovation -- 3 Technology Development -- 4 Improving Competitiveness -- 5 Software Quality in the Electronics Industry -- 6 Limitations of the Investigation -- 7 Methodology -- 8 Results -- 9 PLC Analysis -- 10 Correlation Analysis of Industrial Parameters -- 11 Conclusions -- References -- Assistive Autonomous Electric Vehicle for Disaster Management -- 1 Introduction -- 2 Mechanical System Design -- 2.1 Overview -- 2.2 Frame Design -- 2.3 Assembly for the Wheels -- 2.4 Sensors Stand -- 2.5 Body Housing -- 3 Electronics System Design -- 3.1 Brief Overview -- 3.2 Electronic Suite Description -- 4 Working of the Circuit -- 5 Software and Control System -- 5.1 Brief Overview -- 5.2 Main Software Pipeline -- 5.3 Lane Detection and Path Mapping -- 5.4 Object Discovery Pipeline -- 5.5 Arduino Communication -- 5.6 Motor Driving -- 6 Advantage and Applications -- 6.1 Advantages -- 6.2 Applications. , 7 Conclusion -- References -- On the Existing and New Potential Methods for Partial Discharge Source Monitoring in Electrical Power Grids -- 1 Introduction -- 2 Theoretical Aspects -- 2.1 Spectrogram -- 2.2 Wavelet Transform -- 2.3 Compressive Sensing -- 2.4 Phase-Diagram-Based Analysis -- 3 Experimental Configuration and Results -- 4 Conclusions -- References -- Efficient Approach for Block-Based Copy-Move Forgery Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Smart IoT Sensor Network for Monitoring of Cultural Heritage Monuments -- 1 Introduction -- 2 Sensor Design -- 3 Visualization Platform -- 4 Conclusions -- References -- MorArch: A Software Architecture for Interoperability to Improve the Communication in the Edge Layer of a Smart IoT Ecosystem -- 1 Introduction -- 2 Present Context and Previous Works -- 2.1 Interoperability Architectures -- 2.2 Interoperability Protocols -- 3 Proposal -- 4 Experiments -- 4.1 File System -- 4.2 Data Flow Inside Our Fog Ecosystem -- 4.3 Results -- 5 Conclusions -- References -- A Design of an IoT-Based Smart Home with Auto-sanitization System -- 1 Introduction -- 2 Literature Review -- 3 Methodology and Modeling -- 4 Working Procedure -- 4.1 Remote Access -- 4.2 Voice Command Access -- 5 Implementation of the Prototype -- 5.1 Software Implementation -- 5.2 Hardware Implementation -- 5.3 Visual Models of a Smart Home with Auto-sanitization -- 6 Future Developments, Scopes, and Social Impact -- 7 Results and Data Analysis -- 8 Conclusion -- References -- An Experiment Study on Federated Learning Testbed -- 1 A Novel PPML Framework: Federated Learning -- 2 Methodology and System Implementation -- 3 Results on Efficiency Test -- 3.1 Training Speed -- 3.2 Communication Cost -- 4 Privacy Analysis -- 5 Conclusion. , References -- Visual Quality Comparison of Ocean Wave Effects at Different Camera Distances -- 1 Introduction -- 2 Material and Method -- 2.1 Setting in Houdini -- 2.2 Setting in Unreal -- 2.3 Minor Conclusion -- 3 Result -- 4 Conclusion -- References -- Control System to International Parental Child Abduction, Case: Colombia -- 1 Introduction -- 2 Background -- 3 Design and Method for Colombia -- 4 Results -- 5 Analysis of the Results -- 6 Conclusions and Further Work -- References -- It is not Always Ethical: Data Manipulation to Justify Public Policy Choices in COVID-19 Response -- 1 Introduction -- 2 Background -- 3 Cases of COVID-19 Data Manipulation -- 4 Florida's COVID-19 Data Portal -- 5 Georgia's COVID-19 Data Portal -- 6 Arizona's COVID-19 Data Portal -- 7 Texas, Virginia, and Vermont's COVID-19 Data Portals -- 8 Implications of Data Manipulation -- 9 Conclusion -- References -- BPMN2EVENTB Supporting Transformation from BPMN2.0 to Event B Using Kermeta -- 1 Introduction -- 2 The Proposed Approach -- 3 Subset of Mapping Rules BPMN-Event B -- 4 Illustration -- 5 Conclusion and Future Work -- References -- Teaching Neuroscience Through Flipped Classroom: Systematizing an Experience with Students of the Professional Career of Elementary Education -- 1 Introduction -- 1.1 Contributions of Neuroscience to Education -- 1.2 Teaching Neuroscience Through Digital Resources -- 2 Methodology -- 2.1 Procedures -- 2.2 Participants -- 2.3 Measures -- 3 Results -- 3.1 Analysis of Means and Variation Coefficients -- 3.2 Exploratory Analysis with Boxplots -- 3.3 Analysis of Some Items -- 4 Discussion -- 5 Conclusions and Future Works -- References -- Low-Cost IoT Platform for Telemedicine Applications -- 1 Introduction -- 2 Related Works -- 3 Case of Study -- 4 Implementation of the Proposal -- 4.1 Wearable Device -- 4.2 Android TV App -- 4.3 Cloud Service. , 5 Discussion of Results.

Note: Intro -- Preface -- Contents -- About the Editors -- 1 Accurate Detection of Facial Landmark Points Using Local Intensity Information for Emotion Detection -- 1.1 Introduction -- 1.2 Materials and Methods -- 1.2.1 Materials -- 1.2.2 Proposed Methodology -- 1.3 Performance Metrics -- 1.4 Results -- 1.4.1 Eye Centers -- 1.4.2 Eyebrows -- 1.4.3 Lip Corners -- 1.5 Discussion -- 1.6 Conclusion -- References -- 2 Statistical Approach to Detect Alzheimer's Disease and Autism Spectrum-Related Neurological Disorder Using Machine Learning -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Methodology -- 2.4 Result -- 2.5 Conclusion -- 2.6 Future Work -- References -- 3 The Development and Gap of Chinese and American Open Access Journals: From the Perspective of Network Influence -- 3.1 Introduction -- 3.2 Data and Method -- 3.2.1 Sample Selection Method -- 3.2.2 Data Acquisition Platform -- 3.2.3 Data Collection Method -- 3.3 Results and Discussion -- 3.4 Comparison of Network Influence Based on Principal Component Analysis -- 3.5 Conclusion -- 3.6 Limited -- Appendix -- References -- 4 The Use of Mobile Apps to Facilitate Customers' Choice-Making When Grocery Shopping -- 4.1 Introduction -- 4.2 Method -- 4.2.1 Participants -- 4.2.2 Apparatus and Setting -- 4.2.3 Attributes -- 4.2.4 Procedure -- 4.2.5 Analysis -- 4.3 Findings -- 4.4 Discussion -- 4.4.1 Practical Implications -- 4.4.2 Limitations and Future Research -- References -- 5 Implementation of Best Hybrid Adaptive and Intelligent MIMO Detector on Reconfigurable Architecture for 5G LTE/IoT Environment -- 5.1 Introduction -- 5.2 Proposed B-HAI MIMO Detector -- 5.3 System Model -- 5.4 Architecture of HAI Detector -- 5.5 Computational Complexity Reduction -- 5.6 Performance Evaluation -- 5.7 Conclusions -- References. , 6 Automated Detection of Retinal Hemorrhage Based on Supervised Classifiers and Implementation in Hardware -- 6.1 Introduction -- 6.2 Methodology -- 6.2.1 Feature Extraction from Splats -- 6.2.2 Preliminary Feature Selection and Classification -- 6.3 Results and Discussions -- 6.3.1 Classification of Splats Using kNN and ANN Classifiers -- 6.3.2 Implementation in Hardware -- 6.4 Conclusion -- References -- 7 Data Encryption as Security Measure in IoT-Enabled Healthcare -- 7.1 Introduction -- 7.2 IoT Data in Healthcare -- 7.3 IoT Data Encryption and Compression -- 7.3.1 Basic Philosophy -- 7.3.2 Basic Details DRT and IDRT -- 7.3.3 Inverse Discrete Rajan Transform -- 7.3.4 Sparsing of Data by Retaining CPI Alone -- 7.4 Summary -- References -- 8 Agents-Based Service Restoration in Electrical Secondary Distribution Network -- 8.1 Introduction -- 8.2 Study Approach -- 8.3 Current Status of the Tanzanian Secondary Distribution Network -- 8.4 Proposed Distributed Control Model for Service Restoration -- 8.4.1 Objective Functions -- 8.4.2 Recommendations for the Improvement of the SDN -- 8.4.3 Design for the Equipment Specifications to Be Installed to Support Service Restoration in the Pilot Site -- 8.5 Conclusion -- References -- 9 Packet-Level and Physical-Level Cross-Technology Communications: A Brief Introduction -- 9.1 Introduction -- 9.2 Packet-Level CTC -- 9.2.1 FreeBee -- 9.2.2 ZigFi -- 9.3 Physical-Level CTC -- 9.4 Conclusion -- References -- 10 Smart Traffic Navigation System (STNS) to Reduce Travel Time by Integrating Signals from Navigation and Traffic Systems -- 10.1 Introduction -- 10.2 Related Work -- 10.3 Design of the Proposed Model -- 10.4 Experimental Setup -- 10.5 Implementation -- 10.5.1 Vehicle -- 10.5.2 Traffic Signal -- 10.6 Experiments and Results -- 10.6.1 Test Cases -- 10.6.2 Test System Specifications -- 10.6.3 Results. , 10.7 Conclusion -- References -- 11 Selective Sensor Control via Cauchy Schwarz Divergence -- 11.1 Introduction -- 11.2 Background and Problem Statement -- 11.2.1 Sensor Control Framework -- 11.2.2 Labeled MB Filter -- 11.2.3 Notation -- 11.2.4 Labeled-MB RFS -- 11.2.5 Labeled-MB Filter -- 11.3 Selective Sensor Control via CS-Divergence -- 11.3.1 CS-Divergence -- 11.4 Numerical Results -- 11.5 Discussion and Conclusion -- References -- 12 Step-Factor Resampling Technique for Imbalanced Sequence Data Classification -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Methodology -- 12.3.1 Smoothing Technique -- 12.3.2 Resampling Technique -- 12.4 Experimental Results -- 12.4.1 Model Tuning with Smoothing Factor -- 12.4.2 Model Tuning with Resampling Technique -- 12.4.3 Performance Evaluation of Models -- 12.4.4 Best Performing Model -- 12.5 Conclusions -- References -- 13 Rice Disease Detection Based on Image Processing Technique -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Methodology -- 13.3.1 Working Diagram -- 13.3.2 Dataset Collection -- 13.3.3 Neural Network -- 13.3.4 Building Model -- 13.3.5 Compiling the Model -- 13.3.6 Training and Testing the Model -- 13.4 Result and Outcome -- 13.4.1 Learning Rate -- 13.4.2 Confusion Matrix -- 13.4.3 Classification -- 13.5 Conclusions -- References -- 14 Electromagnetic Radiation from Cell Phones Used in Dhaka City -- 14.1 Introduction -- 14.1.1 Motivation -- 14.1.2 Novelty and Contribution -- 14.2 Materials and Methods -- 14.2.1 Experimental Setup -- 14.3 Results -- 14.3.1 Epidemiological Data from Cell Phones -- 14.3.2 Radiated Power Measurement from Cell Phones -- 14.4 Discussions -- 14.5 Conclusion -- 14.5.1 Limitations -- References -- 15 Expressing Opinions Application: A Case Study at Rajamangala University of Technology, Isan, Khon Kaen Campus -- 15.1 Introduction -- 15.2 Tools and Theories. , 15.2.1 Flutter -- 15.2.2 Spring Framework -- 15.2.3 Java Script Object Notation (JSON) -- 15.2.4 SQL -- 15.3 Procedure -- 15.3.1 The Operation of the System -- 15.3.2 System Design and Development -- 15.4 Login Page -- 15.4.1 Adding Topics and Comments -- 15.4.2 Tools for System Development -- 15.5 Experimental Results -- 15.6 Conclusion -- References -- 16 Toward Clarifying Human Information Processing by Analyzing Big Data: Comparing Response Time to Questionnaires Included Heteronym Word for Problem Solving Between Visually and Auditory Types -- 16.1 Introduction -- 16.2 Problems -- 16.3 Design -- 16.4 Results -- 16.5 Discussion -- 16.6 Conclusion -- References -- 17 Mango Species Detection from Raw Leaves Using Image Processing System -- 17.1 Introduction -- 17.2 Literature Review -- 17.3 Proposed Methodology -- 17.3.1 Primary Steps for Mango Species Detection -- 17.3.2 Image Acquisition -- 17.3.3 Image Pre-processing and Classification -- 17.3.4 Architecture Model -- 17.4 Result -- 17.4.1 Statistical Analysis -- 17.4.2 Accuracy Graph -- 17.4.3 Confusion Matrix -- 17.4.4 Layer Visualization -- 17.4.5 Species Detection -- 17.5 Conclusion -- References -- 18 Frequency Reconfigurable Planner Antennas for Wireless Applications: A Review -- 18.1 Introduction -- 18.1.1 Reconfigurable Antennas -- 18.1.2 Multiple Frequency Reconfigurable Antennas -- 18.2 Ultra-Wide Band Reconfigurable Antennas -- 18.3 Conclusion -- References -- 19 Room Temperature Pt-Modified WO3/p-Si Film Gas Sensor for Detection of Methanol -- 19.1 Introduction -- 19.2 Preparation of Thin Film -- 19.3 Results and Discussions -- 19.4 Conclusions -- References -- 20 Graph Degree Linkage Clustering for Identify Student's Performance on Kompetisi Sains Madrasah in Indonesia -- 20.1 Introduction -- 20.2 Graph Degree Linkage -- 20.2.1 Algorithm Overview -- 20.2.2 Neighborhood Graph. , 20.2.3 Adjacency Measure -- 20.3 Clustering Evaluation: Silhouette -- 20.4 Result and Discussion -- 20.5 Conclusion -- References -- 21 Stepwise Iterative Maximum Likelihood Clustering Based on Kompetisi Sains Madrasah' Scores for Identifying Quality of Junior High School Grading Distribution -- 21.1 Introduction -- 21.2 Stepwise Iterative Maximum Likelihood (SIML) -- 21.3 Silhouette -- 21.4 Results and Discussion -- 21.5 Conclusion -- References -- 22 Detecting the Width of Pap Smear Cytoplasm Image Based on GLCM Feature -- 22.1 Introduction -- 22.2 Related Work -- 22.3 Method -- 22.4 Results and Discussion -- 22.4.1 Result -- 22.4.2 Discussion -- 22.5 Conclusion -- References -- 23 Design of a Novel Wideband Dipole Antenna for mm-Wave Frequencies -- 23.1 Introduction -- 23.2 Antenna Geometry and Design Formulae -- 23.3 Result and Analysis -- 23.4 Conclusion -- References -- 24 Forecasting Sea Surface Temperature in Java Sea Using Generalized Regression Neural Networks -- 24.1 Introduction -- 24.2 Sea Surface Temperature -- 24.3 GRNN -- 24.4 Results and Discussion -- 24.5 Conclusion -- References -- 25 Natural Disaster Predictions of Whirlwinds in Cilacap Region of Central Java Using Adaptive Neighborhood Modified Backpropagation (ANMBP) -- 25.1 Introduction -- 25.2 Principal Component Analysis (PCA) -- 25.3 Adaptive Neighborhood Modified Backpropagation (ANMBP) -- 25.4 Results and Discussion -- 25.4.1 Preprocessing Data -- 25.4.2 Whirlwind Predictions Using ANMBP -- 25.5 Discussion -- 25.6 Conclusion -- References -- 26 Designing Memristor-Based Timing Circuits and Performance Comparison with CMOS Counterparts -- 26.1 Introduction -- 26.2 Memristive Device Modeling -- 26.3 Logic Gates -- 26.3.1 AND and NAND Gate -- 26.3.2 OR and NOR Gate -- 26.4 Multivibrators -- 26.5 Voltage-Controlled Oscillator (VCO) -- 26.6 Conclusions -- References. , 27 Identify Elementary Student Distribution Based on Kompetisi Sains Madrasah Data Using Probabilistic Distance Clustering.

Note: Intro -- Contents -- 1: Historical and Clinical Perspectives on Chromosomal Translocations -- 1.1 Introduction and Background -- 1.2 Early Observations of Translocations -- 1.3 Clinical Relevance of Translocations -- 1.3.1 Balanced Translocation Carriers Have Higher Risks of Infertility, Miscarriage, and Unbalanced Progeny -- 1.3.2 Some Somatic Translocations Initiate Transformation of Cancer Cells -- 1.3.3 Balanced Reciprocal Translocations Are Etiologic for Many Clinical Phenotypes -- 1.3.4 Resolution of Translocation Breakpoints by Sequencing Provides New Information -- 1.3.5 Mapping the Regulatory Genome with Translocations -- 1.4 Summary -- References -- 2: Induction of Chromosomal Translocations with CRISPR-Cas9 and Other Nucleases: Understanding the Repair Mechanisms That Give Rise to Translocations -- 2.1 Introduction -- 2.2 Multiple DSB Repair Pathways: Repairing a Dangerous Lesion -- 2.3 Elucidation of Translocation Mechanisms in Mouse Cells Using a Rare-Cutting Endonuclease -- 2.4 When ZFNs Then TALENs Arrived on the Scene: Tailored Nucleases for Tailored Translocations -- 2.5 The CRISPR-Cas9 Revolution: When Easy Is Made Easier -- 2.6 Isolating Translocation Clones -- 2.7 Modeling Oncogenesis Using Programmable Nucleases: First Steps Towards Full Transformation In Vivo -- 2.8 Elucidation of Translocation Mechanisms in Human Cells Using Programmable Nucleases -- 2.9 How Model Systems Recapitulate Patient Breakpoints -- References -- 3: Dynamics of Double-Strand Breaks: Implications for the Formation of Chromosome Translocations -- 3.1 Introduction -- 3.2 Chromatin Motion -- 3.3 Double-Strand Break Dynamics: Lessons from Yeast and Mammalian Cells -- 3.4 The Role of Cytoskeletal Components in Motion of Intact Chromosome Loci and DSBs: Random or Directed Motion?. , 3.5 Partner Search, Clustering and Synapsis of DSBs in the Nucleus -- 3.6 Dynamics of DSBs and Translocation Formation -- 3.7 Conclusions -- References -- 4: The CRISPR/Cas9 System as a Tool to Engineer Chromosomal Translocation In Vivo -- 4.1 Introduction of CRISPR/Cas9 System -- 4.2 Applications of Nucleases to Engineer Chromosomal Rearrangements -- 4.3 Model Genomic Rearrangements Engineered with the CRISPR/Cas9 System In Vitro -- 4.3.1 Chromosomal Translocations -- 4.3.2 Genomic Deletions and Insertions -- 4.3.3 Genomic Inversions -- 4.4 Model Chromosomal Rearrangements Engineered by the CRISPR/Cas9 System In Vivo -- 4.4.1 Mouse Models of Cancer and Genetic Diseases -- 4.4.2 Mouse Models by Embryonic Stem (ES) Cells Engineering -- 4.5 Conclusions -- References -- 5: Generation of Genomic Alteration from Cytidine Deamination -- 5.1 AID/APOBEC Deaminase Family -- 5.1.1 RNA or DNA Deamination Model -- 5.1.2 Cytidine Deaminase Domain and Structure -- 5.1.3 DNA Sequence Motif Preference and Deamination Signature -- 5.2 Programmed DNA Lesion in Immunity -- 5.2.1 Secondary Immune Cell Receptor Diversification Initiated by AID -- 5.2.2 Innate Anti-viral Activity of APOBEC3s -- 5.3 Collateral Effects of Cytidine Deamination -- 5.3.1 Discovery of AID-dependent Translocations and Mutations -- 5.3.2 Systematic Identification of AID Off-targets -- 5.3.3 Pervasive APOBEC3 Signature in Cancer Genomes -- 5.4 Multilayer Regulation of AID Deamination -- 5.4.1 Regulation of AID Expression -- 5.4.2 Intracellular Localization of AID Protein -- 5.4.3 Post-translation Modification of AID Protein -- 5.4.4 Specific Genomic Targeting of AID -- 5.4.5 AID Cofactors and Activity Regulation -- 5.5 Future -- References -- 6: The Role for the DSB Response Pathway in Regulating Chromosome Translocations. , 6.1 The DNA Damage Response (DDR) at Sites of Double-­Strand Breaks (DSBs) -- 6.1.1 Overview: ATM Orchestrates the DDR in Mammalian Cells -- 6.1.2 General Mechanisms of Translocation Suppression by the DDR -- 6.2 Mammalian Genetic Models to Study Roles for the DDR in Translocation Suppression -- 6.2.1 Genetically Engineered Mouse Models (GEMM) of DDR Deficiency -- 6.2.2 Human Genetic Syndromes of DDR Deficiency: Ataxia-Telangiectasia -- 6.3 The DDR Suppresses Chromosomal Translocations During V(D)J Recombination -- 6.3.1 Mechanisms of V(D)J Recombination -- 6.3.2 RAG-Dependent Breaks and Translocations in DDR-­Deficient Mice -- 6.3.3 RAG-Dependent Break and Translocations in Ataxia-­Telangiectasia Patients -- 6.4 The DDR Suppresses Chromosomal Translocations During Class Switch Recombination -- 6.4.1 Mechanisms of Class Switch Recombination -- 6.4.2 AID-Dependent Breaks and Translocations in DDR-­Deficient Mice -- 6.4.3 AID-Dependent Breaks and Translocations in A-T Patients -- References -- 7: Telomeres and Chromosomal Translocations -- 7.1 Introduction -- 7.2 DNA Damage -- 7.3 DNA Repair -- 7.3.1 DNA Repair Involving Only a Single Strand -- 7.3.2 DNA Double-Strand Break Repair -- 7.3.2.1 C-NHEJ -- 7.3.2.2 A-NHEJ -- 7.3.2.3 HDR -- 7.4 Translocations -- 7.4.1 DSBs and Translocations -- 7.4.1.1 Of Men, Mice and Translocations -- 7.4.1.2 Spatial Karma and Translocations -- 7.4.1.3 Selection, Not the Translocation, Drives Cancer -- 7.4.2 Considerations for When One DSB is a Telomeric End -- 7.4.2.1 Telomeres Stabilize the Genome -- 7.4.2.2 Translocations Involving Telomeres are Mechanistically Distinct -- 7.4.2.3 Translocations Involving Human Telomeres can be Mediated by LIGIII or LIGIV -- 7.4.2.4 Translocations Involving Human Telomeres can be Mediated by LIGI -- 7.5 Summary and Future Considerations -- References. , 8: 3D Genome Organization Influences the Chromosome Translocation Pattern -- 8.1 Introduction -- 8.2 The Impact of Spatial Proximity on Partner Selection in DNA Break Repair -- 8.2.1 Evidence from Imaging Methods -- 8.2.2 Implications of DNA DSB Movement -- 8.3 Conceptual Contributions from Chromosome Conformation Capture -- 8.3.1 Characterizing Pre-existing 3D Genome Structure Before Translocations to Link Translocation Frequency to 3D Structure -- 8.3.2 3C-Based Methods for Agnostic Translocation Identification -- 8.3.3 Interpreting the Biological/Medical Impact of Translocations -- 8.4 Importance of Heterogeneity in Interpreting the Influence of 3D Genome Organization -- 8.5 Widespread DSBs Exacerbate 3D Genome Proximity Effects on Translocations: Implications for Radiation-­Induced Translocations -- 8.6 3D Genome Contributions to DSB Incidence and Control of DNA Repair -- 8.7 Key Persistent Questions -- 8.7.1 How Can We Reconcile 3D DSB Movement with 3D Genome Stability and Influence on Translocations? -- 8.7.2 How Much Do DSBs and Translocations Affect Existing 3D Genome Structure? -- 8.7.3 Do Pre-cancerous 3D Genome Organization Changes Affect Which Translocations Occur and Thus Affect Cancer Phenotype or Outcome? -- 8.8 Conclusion -- References -- 9: The Role of Chromosome Deletions in Human Cancers -- 9.1 Introduction -- 9.2 Chromosome Deletions Are Frequent in Human Cancers and Associated with Poor Prognosis -- 9.2.1 The Boveri's Hypothesis on the Origin of Cancer -- 9.2.2 Chromosome Deletions Are a Hallmark of Human Cancers -- 9.2.3 Chromosome Deletions Are Associated with Poor Prognosis in Some Cancers -- 9.3 Identifying Tumor Suppressors in Chromosome Deletions -- 9.3.1 Knudson Theory -- 9.3.2 Haploinsufficient Tumor Suppressors -- 9.4 The Role of Chromosome Deletions as a Whole in Carcinogenesis. , 9.4.1 Modeling Chromosome Deletions with Genetic Engineered Mouse Models -- 9.4.2 Modeling Chromosome Deletions in Human Cell Models -- 9.4.3 The Collaborative Effect of Multiple Tumor Suppressors in Chromosome Deletions -- 9.5 Perspective -- References -- 10: Processing-Challenges Generated by Clusters of DNA Double-Strand Breaks Underpin Increased Effectiveness of High-LET Radiation and Chromothripsis -- 10.1 Introduction -- 10.2 Forms of DSBs and DSB Clusters -- 10.3 Physiological Processes That Require the Generation of DSB Clusters -- 10.4 DSB Cluster Formation and Carcinogenesis: The Phenomenon of Chromothripsis -- 10.5 DSB Processing Pathways -- 10.6 DSB Repair Pathway Choice in Cells Exposed to High LET IR -- 10.7 A Model of Defined DSB-­Clusters at Fixed Genomic Locations -- 10.8 Summary and Conclusions -- References.