Note: Intro -- Water Scarcity, Contamination and Management -- Copyright -- Contents -- Contributors -- About the editors -- Preface -- Section 1: Water resources scarcity -- Chapter 1: Climate change implications on groundwater resources in East Khasi Hills, with special reference to greater Sh ... -- 1. Introduction -- 2. Hydrogeology -- 3. Materials and methods -- 4. Pattern of annual rainfall at Umiam -- 5. Extreme climatic events -- 6. Predicted rainfall from climate model -- 7. Groundwater level -- 8. Groundwater recharge -- 9. Discussion -- 10. Conclusion -- References -- Further reading -- Chapter 2: Status of hydrogeochemistry of water quality in Mizoram: A review -- 1. Introduction -- 1.1. Location and extend of Mizoram -- 2. Discussion -- 3. Concluding remarks -- References -- Further reading -- Chapter 3: Surface and groundwater interactions: Methodology and changing chemical processes -- 1. Introduction -- 2. Methods/tools to identify SW-GW interactions -- 2.1. Radon -- 2.2. Stable isotopes -- 2.3. Chlorofluorocarbons (CFCs) and sulfur hexafluoride (SF6) -- 2.4. Noble gases -- 2.5. Environmental tritium and carbon dating -- 2.6. Ions -- 2.7. Temperature -- 3. Processes evolved by the interactions of surface and groundwater -- 3.1. Physiochemical characteristics of surface and groundwater -- 3.2. Influences of groundwater contribution on surface water bodies -- 3.2.1. Eutrophication -- 3.2.2. Habitat for fish -- 3.2.3. Movement of nutrients and metals -- 3.2.4. Changes in wetland chemistry -- 3.3. Influences of surface water contribution on groundwater -- 3.3.1. Salinization -- 3.3.2. Movement of pesticides and emerging contaminants -- 4. Conclusion -- 5. Recommendation for future work -- References -- Further reading -- Chapter 4: Impact of climate change on water resources -- 1. Introduction -- 2. Climate change. , 2.1. Emission of greenhouse gases -- 2.2. Excessive use of fossil fuels: For electricity, transportation and heat -- 2.3. Change in land use -- 2.4. Deforestation -- 2.4.1. Population growth -- 3. Impact of climate change -- 3.1. Global warming-rising temperatures -- 3.2. Melting of glaciers and ice sheets and rising sea levels -- 3.3. Ocean acidification -- 3.4. Frequent floods and droughts -- 4. Impact of climate change on water resources -- 4.1. Impact on ground water resources -- 4.2. Management options -- References -- Further reading -- Chapter 5: Cooperative management of Himalayan rivers among the riparian states -- 1. Introduction -- 2. The hydrogeology of the IGB system -- 3. Controlling factors of material fluxes -- 4. Distribution of erosion and sedimentation -- 5. Environmental constraints -- 6. Sharing of information to check flash flood and water availability -- 7. Water management strategies and ways forward -- 7.1. Water sharing treaties for mutual cooperation -- 8. Conclusion -- References -- Further reading -- Chapter 6: An assessment of the aquatic environment quality of the urban water bodies using system analysis methods based ... -- 1. Introduction -- 2. Materials -- 2.1. Study area -- 2.2. Satellite data -- 2.3. Sampling -- 3. Methods -- 3.1. Spectral indices -- 3.1.1. Normalized Difference Pond Index (NDPI) -- 3.1.2. Normalized Difference Turbidity Index (NDTI) -- 3.1.3. Normalized Difference Algae Index (NDAI) -- 3.1.4. Temperature maps of the reservoir's surfaces -- 3.2. Methods of measuring and calculating ground indicators -- 3.3. Methods of system analysis -- 3.3.1. Multi-criteria optimization method -- 3.3.2. Statistical criterion (SC) -- 4. Results and discussion -- 5. Conclusions -- Acknowledgments -- References -- Section 2: Contamination of water resources -- Chapter 7: Agricultural contamination -- References. , Chapter 8: Metal contamination in groundwater of Bangladesh -- 1. Introduction -- 1.1. What is groundwater? -- 1.1.1. How much do we depend on groundwater? -- 1.2. What is groundwater contamination? -- 1.2.1. Sources of heavy metal contamination in groundwater natural sources -- 1.2.2. Anthropogenic sources of contamination -- 2. Metal contamination scenarios in groundwater of Bangladesh -- 3. Major contaminants occurrence in groundwater -- 3.1. Arsenic -- 4. Other contaminants -- 4.1. Manganese -- 4.2. Chromium -- 4.3. Copper -- 4.4. Cadmium -- 4.5. Lead -- 4.6. Iron -- 4.7. Zinc -- 4.8. Nickel -- 5. Dangers of contaminated groundwater -- 6. Effects of ground water contamination -- 7. Potential health problems -- 8. Environmental legislation: Bangladesh perspective -- 9. Conclusion -- Declarations -- Author contribution statement -- References -- Chapter 9: A study on impact of progressive urban expansion on groundwater quality by using graphical, statistical and WQ ... -- 1. Introduction -- 1.1. Research motive -- 1.2. Context of research -- 2. Study area -- 3. Methodology -- 3.1. Sampling and analytical techniques -- 3.2. Graphical representation -- 3.3. Statistical analysis -- 3.4. Water quality index -- 4. Results and discussion -- 4.1. Population growth -- 4.2. Change in land use practice -- 4.3. Interaction between urbanization and groundwater quality -- 4.4. Comparative analysis of water quality within one decade -- 4.4.1. Major ion chemistry -- 4.4.2. Spatiotemporal distribution and suitability of groundwater for drinking purpose -- Total dissolved solids (TDS) -- Total hardness -- Nitrate (NO3-) -- Fluoride (F-) -- 4.4.3. Classification and genesis of groundwater -- Soltan classification -- Piper's classification -- 4.4.4. Statistical analysis -- Principal component analysis -- 4.4.5. Water quality index (WQI) -- 5. Conclusion. , Acknowledgment -- References -- Further reading -- Chapter 10: Contamination of water resources: With special reference to groundwater pollution -- 1. Introduction -- 2. Why is groundwater important? -- 3. How does groundwater become contaminated? -- 4. Types of groundwater contamination -- 4.1. Geogenic contamination -- 4.2. Anthropogenic contamination -- 5. Potential sources of groundwater contamination -- 5.1. Natural sources -- 5.2. Storage tanks -- 5.3. Septic systems -- 5.4. Improper disposal of hazardous waste -- 5.5. Landfills -- 5.6. Chemicals and road salts -- 5.7. Mining and quarrying -- 5.8. Saltwater contamination -- 5.9. Atmospheric contaminants -- 6. Pollution of groundwater -- 7. Types of groundwater pollution -- 7.1. Geogenic pollution of groundwater -- 7.2. Anthropogenic pollution of groundwater -- 7.2.1. Point-source pollution -- 7.2.2. Nonpoint-source pollution -- 8. Arsenic -- 9. Sources of arsenic in groundwater -- 10. Occurrences of arsenic in groundwater -- 11. Mobilization mechanisms of arsenic -- 12. Arsenic contamination in groundwater in India -- 13. Health effects -- 14. Remedial measures -- 14.1. Subsurface arsenic remedy -- 14.1.1. The SAR (subterranean arsenic removal) -- 14.2. Ex-situ arsenic remedy -- 14.3. Use of alternative water source -- 14.4. Tapping arsenic-free safe aquifers -- 14.4.1. Will the deep aquifers remain arsenic-free? -- 15. Conclusion -- 16. Recommendations -- References -- Chapter 11: Impact of mining on groundwater quality of India using indexing techniques and its assessment -- 1. Introduction -- 2. Overview of indexing techniques for assessing water quality -- 2.1. Water quality index (WQI) -- 2.1.1. Effective weight percentage (Efi) -- 2.2. Heavy metal indexing -- 2.2.1. Heavy metal pollution index (HPI) -- 2.2.2. Heavy metal evaluation index (HEI) -- 2.2.3. Contamination index (Cd). , 2.2.4. PCA-based metal index -- Non-standardized PCA metal index (NSPMI) -- Standardized PCA-based metal index (PMI) -- Water parameter index (WPI) -- 2.2.5. Modified heavy metal index -- Modified heavy metal pollution index (m-HPI) using fuzzy entropy weight method -- Heavy metal contamination index (HCI) for evaluating heavy metal contamination in groundwater -- 2.3. Calculation of risk assessment -- 2.3.1. Hazard quotient (HQ) -- 2.3.2. Hazard index (HI) -- 3. Impact assessment of mining on groundwater quality of India by indexing techniques -- 3.1. Coal mining -- 3.1.1. Brajrajnagar coal mining, Odisha -- 3.1.2. Jharia coalfields, Dhanbad, Jharkhand -- 3.1.3. Underground coal mines, Khliehriat, Jaintia hills district, Meghalaya -- 3.1.4. East Bokaro coalfield, Jharkhand -- 3.1.5. West Bokaro -- 3.1.6. North Karanpura -- 3.1.7. Coal mines in Sonebhadra and Singrauli districts, Uttar Pradesh, Madhya Pradesh -- 3.1.8. Korba coalfield, Korba district, Chhattisgarh -- 3.1.9. Singrauli coal mining, Odisha -- 3.2. Copper mining -- 3.3. Limestone mining belt in the Sirmour district of Himachal Pradesh -- 3.4. Iron mining -- 3.4.1. Iron, steel industries and coal mining, Angul district, Odisha -- 3.4.2. Mining region Goa -- 3.4.3. Iron-ore mining, Odisha -- 4. Risk assessment of mining in India by hazard index and hazard quotient -- 4.1. Uranium mining -- 4.2. Coal mining -- 4.3. Copper mining -- 5. Conclusion and recommendations -- References -- Chapter 12: Recent scenario of agricultural contaminants on water resources -- 1. Introduction -- 2. Nutrients -- 3. Pesticides -- 4. Heavy metals -- 5. Pathogens -- 6. Salts -- 7. Sediments -- 8. Organic matters -- 9. New generation pollutants -- 10. Conclusion -- 11. Recommendations -- References. , Chapter 13: Potential tools for identification of saltwater intrusion into the coastal aquifers: A case study from East C.

Note: Intro -- Contents -- Teaching English as a Second Language: Improving Digital Literacy Skills -- 1 Introduction -- 2 Literature Review -- 3 Findings -- 4 Methods -- 4.1 Contemporary Practices -- 5 Results -- 6 Conclusion -- References: -- ICT-Based Collaborative Learning Approach: Enhancing Students' Language Skills -- 1 Introduction -- 2 Literature Review -- 3 Need of ICT in the Teaching and Learning Process -- 4 Methodology -- 4.1 Warm-Up -- 4.2 Student Roles -- 4.3 Grouping Students -- 4.4 Language Focused Task -- 4.5 Monitoring Groups -- 4.6 Collecting Responses Checking for Accuracy -- 4.7 Changing Roles -- 4.8 Listening Activity Through Audio Aids -- 4.9 Collecting Responses and Checking for Comprehension -- 4.10 Changing Roles Again -- 4.11 Solving the Mystery -- 4.12 Collecting Answers -- 4.13 Final Comprehension Check -- 4.14 Wrap Up -- 5 Data Collection Procedures -- 6 Results -- 6.1 Results for the Effectiveness of CL on Students' Integrating Language Skills Through Questionnaire Are as Follows -- 7 Conclusion -- References -- Modified Sierpinski Carpet Fractal Antenna for the Wireless Applications -- 1 Overview -- 2 Design of Antenna -- 3 Results and Discussion -- 3.1 Simulated and Experimental Results -- 4 Conclusion -- References -- COVID-19 Recovery Prediction Using Regression-Based Machine Learning Approaches -- 1 Introduction -- 2 Methods Used -- 2.1 Linear Regression (LR) -- 2.2 Ridge Regression -- 2.3 Elastic Net -- 2.4 Support Vector Regression -- 2.5 Decision Trees -- 2.6 Random Forests -- 2.7 Extra Trees -- 2.8 Deep Learning Multilayer Perceptron -- 3 Data and Methodology -- 3.1 Data Description -- 3.2 Data Preprocessing and Visualization -- 4 Methodology Used -- 4.1 Performance Metrics -- 5 Predictions and Results -- 6 Conclusion -- References. , Regression to Forecast: An In-Play Outcome Prediction for One-Day Cricket Matches -- 1 Introduction -- 2 Background and Related Works -- 3 Proposed Metric to Quantify Player Quality -- 4 Form and Batting Resource of the Team -- 5 Model to Forecast Win Probability -- 6 Model Predictions and Results -- 7 Conclusion -- References -- Analysis of OFDMA Over AWGN and Rician Channels -- 1 Introduction -- 2 Proposed Technique -- 2.1 OFDM with AWGN Channel -- 2.2 OFDMA with Rician Channel -- 3 System Development -- 3.1 Result Analysis -- 4 Conclusion -- References -- A Review on Internet of Wearable Things for Pervasive E-Health Care: Energy Efficiency and Prospects -- 1 Introduction -- 2 Related Works -- 3 Background of IoWT -- 3.1 Requirements -- 3.2 Application Scenarios -- 4 Energy Efficiency Improving Schemes -- 4.1 Task-Offloading -- 4.2 Duty Cycling -- 4.3 Energy-Aware Routing -- 4.4 Low-Power Embedded Design -- 4.5 Low-Power Communications -- 4.6 Adaptive Transmission Power Control -- 4.7 Compressive Sensing -- 4.8 IoWT Data Compression -- 4.9 Approximate Computing -- 4.10 Lightweight Security -- 5 Key Challenges and Future Directions -- 5.1 Challenges -- 5.2 Future Directions -- 6 Conclusion -- References -- An Analysis on Tesla's Stock Price Forecasting Using ARIMA Model -- 1 Introduction -- 2 Related Work -- 2.1 ARIMA Model -- 2.2 Performance Metrics -- 3 Experimental Results and Discussion -- 3.1 ARIMA Model for Tesla Stock Price -- 4 Conclusion -- References -- Multi-regressions Based-Traditional Machine Learning Approach for Energy Forecasting System -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 Result -- 5 Conclusion -- References -- Comparative Study of Various Machine Learning and Deep Learning Techniques for Energy Prediction and Consumption Using IoT Modules -- 1 Introduction -- 2 Related Works -- 3 Conclusion. , References -- Emulating SoCs for Accelerating Pre-Si Validation -- 1 Introduction -- 2 HW/SW Co-Design -- 3 Experimental Platform -- 4 Profiling -- 5 Implementation Flow -- 6 Simulation Time/Speed up for Benchmark Design -- 7 Results and Discussions -- References -- Optimization of Power Flow in DC Microgrid Connected to Electric Vehicle Charging Station -- 1 Introduction -- 2 Energy Management for EV Charging -- 3 System Description -- 4 Result and Discussion -- 5 Conclusion -- References -- Static Hand Gesture Prediction Using Inception V3 -- 1 Introduction -- 2 Literature Review -- 3 Static Hand Gesture Recognition System -- 3.1 ASL Data -- 3.2 Implementation -- 4 Result -- 5 Conclusion -- References -- Evaluation on Radiation Exposure in Human Eye Tissue Model with IFA -- 1 Introduction -- 1.1 Specific Absorption Rate -- 1.2 Inverted F Antenna -- 2 Tissue Modeling and Experimental Setup -- 2.1 Modeling Background -- 2.2 Geometry and Dimensions of IFA -- 2.3 Dielectric Properties of Eye Tissues -- 3 Results and Validation -- 3.1 Operation Characteristics -- 3.2 Far field in 3D -- 3.3 Gain and Near Field -- 3.4 SAR Comparison -- 4 Conclusion -- References -- A Novel Approach for Sentiment Analysis and Opinion Mining on Social Media Tweets -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 4 Results and Discussions -- 4.1 Word-Level Sentiment Analysis -- 4.2 Querying Sentiment Words -- 4.3 Sentence-Level Sentiment Classification -- 5 Conclusion -- References -- Cloud Control Cold Storage System -- 1 Introduction -- 2 Implementation of Cloud Control Cold Storage System -- 3 Simulation -- 4 Hardware Implementation -- 5 Conclusion -- References -- Comparative Study of Neural Networks (G/C/RNN) and Traditional Machine Learning Models on EEG Datasets -- 1 Introduction -- 1.1 Literature Survey -- 2 Materials and Methods -- 2.1 EEG Datasets. , 2.2 Machine Learning Models -- 3 Result -- 4 Discussion -- 5 Conclusion -- References -- Artificial Intelligent Models for Automatic Diagnosis of Foetal Cardiac Anomalies: A Meta-Analysis -- 1 Introduction -- 2 Background Study -- 3 Literature Review -- 3.1 Medical Literatures Suggesting Technological Interventions -- 3.2 Review of Articles Related to Diagnosing Diseases Using Machine Learning/Deep Learning and Ultrasound Scan Images -- 4 Methodology -- 4.1 Phase 1: Model for Preliminary Classification and Screening -- 4.2 Phase 2: Diagnostic Model -- 5 Results and Discussions -- 6 Conclusion -- References -- DLoader: Migration of Data from SQL to NoSQL Databases -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 3.1 Relational Databases -- 3.2 NoSQL Databases -- 3.3 SQL to NoSQL Transformation -- 4 Experimentation -- 5 Conclusion -- References -- Maximum Boost Control of Quasi-Z-Source Inverter with DSTATCOM for a Wind Energy System -- 1 Introduction -- 2 Operation of Maximum Boost Control of Single-Phase Enhanced Quasi-Z-Source -- 2.1 Wind Energy System -- 2.2 Enhanced Boost Quasi-Z-Source Inverter -- 2.3 DSTATCOM -- 3 Simulation Results -- 4 Conclusion -- References -- Design and Development of Multi-copter Drone Incorporating with Multispectral Sensor for Agricultural Application -- 1 Introduction -- 2 AIMS and Objectives -- 3 UAV System and Payload Description -- 3.1 UAV Platform -- 3.2 Sensor Platform -- 4 Proposed Methodology -- 4.1 Study Area -- 5 Process of UAV Data Collection -- 6 UAV Data Processing -- 6.1 Multispectral Calibration Reflectance Panel for Radiometric Calibration -- 6.2 Creating Toolbox for Calculating Vegetation Indices -- 6.3 Data Processing -- 7 Results and Discussions -- 7.1 Vegetation Analysis for Different Vegetation Indices -- 8 Conclusion -- References. , Mitigation of RSSI Variations Using Frequency Analysis and Kalman Filtering -- 1 Introduction -- 2 Related Work -- 3 Preliminary Study -- 3.1 RSSI -- 3.2 RSSI Filtering -- 4 System Design -- 5 Experiment and Analysis -- 5.1 Setup for Experiments -- 5.2 RSSI Fluctuation -- 5.3 Analysis of Various Filters -- 6 Conclusion -- References -- A Novel Approach for High Authentication in Digital Watermarking Technique -- 1 Introduction -- 2 Related Survey -- 3 Proposed System -- 4 Conclusion and Future Work -- References -- Exploring the Impact of Indian Revenues During COVID-19 Using Social Network Analysis -- 1 Introduction -- 2 Data and Methods -- 3 Related Work -- 4 Proposed Work -- 5 Observation and Discussion -- 6 Conclusion -- References -- Fingerprint Image Enhancement for Crime Detection Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Image Pre-processing -- 3.2 Image Classification -- 4 Results and Discussion -- 5 Conclusion -- References -- Semantic Segmentation of Retinal Vasculature Using Light Patch-Based Dilated CNN -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 3.1 Patched Input -- 3.2 Dilated Convolution -- 3.3 Light Patch-Based Network -- 4 Result and Discussion -- 5 Conclusion -- References -- A Novel Study on Tools and Frameworks for Mitigating Bias in Multimodal Datasets -- 1 Introduction -- 2 Need of Identifying Bias in Datasets -- 3 Tools and Frameworks for Mitigating Bias in Datasets -- 3.1 REVISE (REvealing VIsual BiaSEs) -- 3.2 FairML -- 3.3 IBM AI Fairness 360 -- 3.4 Accenture's "Teach and Test" Methodology -- 3.5 Google's What-If Tool -- 3.6 Microsoft's Fairlearn -- 4 Conclusion -- References -- Machine Learning Framework for Stagewise Classification of Alzheimer's Disease -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Dataset. , 3.2 EDA (Univariate, Bivariate, Multivariate Analysis).

Note: Intro -- Preface -- Contents -- Road Accident Detection and Indication System -- 1 Introduction -- 2 Existing Models -- 3 Proposed Model -- 4 The Design of Vehicle Crash Alert System -- 5 Conclusion -- References -- Attendance System Based on Face Recognition Using Haar Cascade and LBPH Algorithm -- 1 Introduction -- 2 Problem Definition -- 3 Proposed System -- 4 Dataset and Methodology -- 5 Results and Outcome -- 6 Conclusion -- References -- Different Thresholding Techniques in Image Processing : A Review -- 1 Introduction -- 2 Thresholding -- 2.1 Global Thresholding -- 2.2 Multi-thresholding -- 2.3 Adaptive Thresholding -- 3 Choosing a Thresholding Method -- 4 Conclusion -- References -- Dynamic Weighting Selection for Predictive Torque and Flux Control of Industrial Drives -- 1 Introduction -- 2 Predictive Torque and Flux Control -- 3 Proposed Dynamic Weighting Factor Selection -- 4 Simulation Results -- 5 Conclusion -- References -- Population Index and Analysis Based on Different Geographies -- Using Distance Measurement, Social Distancing, and Deep Learning -- 1 Introduction -- 1.1 How is Social Distancing Efficient? -- 1.2 Social Distancing -- 2 Research Background and Relevant Work -- 2.1 Pedestrian Detection and Distance Measurement -- 2.2 Object Detection -- 2.3 Social Distancing for COVID-19 -- 3 Object Detection and Distance Measurement -- 3.1 Object Detection -- 3.2 Distance Measurement Between Detected Objects -- 4 Proposed Methodology -- 4.1 Stage I: Detecting Violators -- 4.2 Stage II: Finding Busy Hours -- 5 Experiment and Result Analysis -- 5.1 YOLO Outputs -- 5.2 Database of Violations -- 5.3 Busy Hours -- 5.4 Discussion -- 6 Conclusion -- 7 Future Scope -- References -- On the Discriminability of Samples Using Binarized ReLU Activations -- 1 Introduction -- 1.1 Contributions -- 2 Metrics Used in the Experimental Setup. , 3 Experiments -- 3.1 Influence of Number of Layers -- 3.2 Influence of Sample Size and Number of Training Labels -- 4 Conclusion and Future Work -- References -- Supervised and Unsupervised Machine Learning Approaches-A Survey -- 1 Introduction -- 2 Different Kinds of Learning -- 2.1 Supervised Machine Learning -- 2.2 Unsupervised Machine Learning Algorithm -- 3 Conclusion -- References -- Skin Cancer Classification Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Objectives -- 4 Existing System -- 5 Proposed Approach -- 6 Conclusion -- References -- Crop Yield Prediction Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Idea -- 4 Data Flow Diagram -- 5 Training Specifications -- 6 Performance Evaluation -- 7 Experimental Results -- 8 Discussion and Conclusions -- References -- Real-Time Tweets Streaming and Comparison Using Naïve Bayes Classifier -- 1 Introduction -- 2 Problem Definition -- 3 Literature Survey -- 4 Proposed Work -- 5 Conclusion and Future Enhancement -- References -- Smart Shopping Trolley for Billing System -- 1 Introduction -- 2 Related Work -- 3 Objective -- 4 Problem Statement -- 5 Proposed Architecture Design -- 6 Implementation and Results -- 7 Conclusion and Future Work -- References -- A Survey on IoT Protocol in Real-Time Applications and Its Architectures -- 1 Introduction -- 2 Functional Overview of IOT -- 2.1 Sensing -- 2.2 Communication -- 2.3 Computation -- 2.4 Analysis -- 3 Standards -- 3.1 Application Protocols -- 3.2 Constrained Application Protocol (CoAP) -- 3.3 Message Queuing Telemetry Transport (MQTT) -- 3.4 Advanced Message Queuing Protocol (AMQP) -- 4 AMQP and MQTT Comparative Analysis -- 5 Conclusion -- References -- Safe Characteristic Signature Systems with Different Jurisdiction Using Blockchain in E-Health Records -- 1 Introduction -- 2 Existing System. , 3 Proposed System -- 4 System Design -- 5 Flow Chart Diagram -- 6 Class Diagram -- 7 Modules Description -- 7.1 Admin -- 7.2 Admin Module -- 7.3 User Module -- 7.4 Auditor -- 8 Conclusion -- References -- Web-Based Trash Segregation Using Deep Learning Algorithm -- 1 Introduction -- 2 Proposed System -- 3 Implementation -- 4 Analysis and Benefits of Proposed System -- 5 System Design and Flowcharts -- 6 Conclusion -- 7 Future Enhancement -- References -- Home Automation Using Face Recognition for Wireless Security -- 1 Introduction -- 2 Related Work -- 2.1 Bluetooth-Based IoT Home Automation System -- 2.2 Voice Recognition-Based IoT Home Automation -- 2.3 GSM-Based Home Automation System -- 3 Proposed Work -- 3.1 Hardware Components -- 3.2 Software Requirements -- 4 Implementation Details -- 5 Result -- 6 Conclusion -- Bibliography -- Hybrid-Network Intrusion Detection (H-NID) Model Using Machine Learning Techniques (MLTs) -- 1 Introduction -- 2 Related Work -- 3 Methodology and Proposed Framework -- 3.1 Classification Algorithms Used -- 4 Experiments and Results -- 5 Conclusions -- References -- Impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Gait Energy Image (GEI) -- 3.3 Principal Component Analysis -- 3.4 Experimental Setup -- 4 Results -- 5 Conclusion -- References -- Several Routing Protocols, Features and Limitations for Wireless Mesh Network (WMN): A Review -- 1 Introduction -- 2 Literature Review -- 3 Limitations and Features of WMNs -- 3.1 Limitations of WMNs -- 3.2 Features of WMNs -- 4 Preliminaries on Routing Protocols for WMNs -- 4.1 Hop Counting Routing Protocols -- 4.2 Link Level Routing Protocols -- 4.3 End-to-End QoS Routing Protocols -- 5 Conclusion and Future Scope -- References. , A Deep Meta-model for Environmental Sound Recognition -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Base Models -- 3.2 The Proposed Deep Meta-model -- 4 Experimental Evaluation -- 4.1 Dataset Used -- 4.2 Performance Measures Used for Evaluation -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Spatial Computing: Next Big Thing of Physical and Digital World -- 1 Introduction -- 2 Role of Spatial Computing in Various Fields -- 2.1 Industry -- 2.2 Manufacturing -- 2.3 Automotive Industry -- 3 Benefits of Spatial Computing -- 4 Difference Between Spatial Computing, Augmented Reality (AR) and Mixed Reality (MR) -- 5 Spatial Computing as a Digital Era -- 6 SAR Technology -- 7 Spatial Computing With IoT -- 8 Spatial Web Technology -- 9 Conclusion -- References -- Cloud Accessing Based on IOT Oriented WSNs for Optimal Water Conservation in Farming -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System for Irrigation with IoT -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- S-Extension Patch: A Simple and Efficient Way to Extend an Object Detection Model -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Similarity Threshold Check (Compatibility Check) -- 3.2 Compatible Classes Selection -- 3.3 Dual-Parallel Inference Technique -- 3.4 Technique with Trackers -- 3.5 Model Architectures -- 3.6 Training Environment -- 4 Experiments and Discussions -- 4.1 Dual-Parallel Inference Technique -- 4.2 Technique with Trackers -- 5 Future Works and Llimitations -- 6 Conclusion -- References -- Roles and Impact of ASHA Workers in Combating COVID-19: Case Study Bhubaneswar -- 1 Introduction -- 1.1 Fund Allocation to Public Healthcare and Human Development Index -- 1.2 Health Status and Global Hunger Index of India -- 1.3 Role of Anganwadis and ASHA Workers -- 2 Literature Review -- 3 Research Gap. , 4 Methodology -- 5 Conclusion -- References -- Challenges and Requirements for Integrating Renewable Energy Systems with the Grid -- 1 Introduction -- 2 Grid Interconnection Stages -- 3 Requirements for Compliance with Grid Code -- 4 Analysis for Integration Challenges -- 5 Conclusion -- References -- Design of Progressive Monitoring Overhead Water Tank -- 1 Introduction -- 2 Architectural Details of Proposed System -- 3 Proposed System -- 3.1 Raspberry Pi Zero W -- 3.2 Arduino Uno -- 3.3 Ultrasonic Sensor -- 3.4 Flow Sensor -- 3.5 Turbidity Sensor -- 3.6 TDS Sensor -- 3.7 PH Sensor -- 3.8 Motor and Motor Driver -- 3.9 Setup -- 4 Methodology -- 5 Results -- 6 Conclusion -- References -- An Anchor-Based Fuzzy Rough Feature Selection for Text Categorization -- 1 Introduction -- 2 Brief Review of Concepts -- 2.1 Anchor Graph -- 3 Fuzzy Rough Feature Selection -- 4 Proposed Hybrid Anchor-Based Fuzzy Rough Feature Selection (ABFRFS) -- 5 Experimental Results -- 5.1 Dataset -- 6 Evaluation Metrics -- 7 Experiments and Analysis -- 8 Conclusions -- References -- Fabric Variation and Visualization Using Light Dependent Factor -- 1 Introduction -- 2 Literature Survey -- 3 Documentation of LDR Sensor After Analysis -- 4 Procedure -- 5 Experimental Section -- 6 Block Diagram -- 7 Algorithm -- 8 Results -- 9 Conclusion -- 10 Future Scope -- References -- Pulse Rate Estimation with a Smartphone Camera Using Image Processing Algorithm -- 1 Introduction -- 2 Methodology -- 2.1 Threshold Calculation -- 2.2 Centroid Point Computation -- 2.3 Computation and Estimation of Pulse Rate -- 3 Simulated Results -- 4 Conclusion -- References -- Multilayer Perceptron Based Early On-Site Estimation of PGA During an Earthquake -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 3 Data Munging -- 3.1 Feature Window Population. , 3.2 MLP-Based Back Propagation Neural Network (MLP-BPNN).

Note: Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1 Introduction, Vision, and Opportunities -- 1.1 Background -- 1.2 E‐Waste -- 1.3 Outline -- References -- Chapter 2 e‐Waste Management and Practices in Developed and Developing Countries* -- 2.1 Introduction -- 2.2 Overview on WEEE Management and Practices -- 2.3 International WEEE Management and Transboundary Movement -- 2.4 WEEE Management and Practices - Developed and Developing Countries -- 2.5 Developed Countries -- 2.5.1 Switzerland -- 2.5.2 Japan -- 2.5.3 Australia -- 2.6 Developing Countries -- 2.6.1 Brazil -- 2.6.2 India -- 2.6.3 South Africa -- 2.6.4 Nigeria -- 2.6.5 Taiwan -- 2.7 Conclusions -- References -- Chapter 3 e‐Waste Transboundary Movement Regulations in Various Jurisdictions* -- 3.1 Background -- 3.2 International Legislation and Transboundary Movement -- 3.3 Extended Producer Responsibility (EPR) -- 3.4 Regulations in Various Jurisdictions -- 3.4.1 Europe -- 3.4.1.1 France -- 3.4.1.2 Germany -- 3.4.1.3 Switzerland -- 3.4.1.4 Norway -- 3.4.2 Americas -- 3.4.2.1 United States of America -- 3.4.2.2 Canada -- 3.4.2.3 Brazil -- 3.4.3 Asia -- 3.4.3.1 Japan -- 3.4.3.2 China -- 3.4.3.3 Taiwan -- 3.4.3.4 India -- 3.4.4 Africa -- 3.4.4.1 South Africa -- 3.4.4.2 Nigeria -- 3.4.5 Australia -- 3.5 Conclusions -- References -- Chapter 4 Approach for Estimating e‐Waste Generation -- 4.1 Background -- 4.2 Econometric Analysis -- 4.3 Consumption and Use/Leaching/Approximation 1 Method -- 4.4 The Sales/Approximation 2 Method -- 4.5 Market Supply Method -- 4.5.1 Simple Delay -- 4.5.2 Distribution Delay Method -- 4.5.3 Carnegie Mellon Method/Mass Balance Method -- 4.6 Time‐Step Method -- 4.7 Summary of Estimation Methods -- 4.8 Lifespan of Electronic Products -- 4.9 Global e‐Waste Estimation -- References. , Chapter 5 Materials Used in Electronic Equipment and Manufacturing Perspectives* -- 5.1 Introduction -- 5.2 Large Household Appliances (LHA) -- 5.3 Small Household Appliance (SHA) -- 5.4 IT and Telecommunications Equipment -- 5.4.1 Computers and Notebooks -- 5.4.2 Monitors and Screens -- 5.4.3 Mobile Phones (MP) -- 5.4.4 Printed Circuit Boards (PCB) -- 5.5 Photovoltaic (PV) Panels -- 5.6 Lighting Equipment -- 5.7 Toys, Leisure, and Sport -- 5.8 Future Trends in WEEE - Manufacturing, Design, and Demand -- References -- Chapter 6 Recycling Technologies - Physical Separation -- 6.1 Introduction -- 6.2 Dismantling -- 6.3 Comminution/Size Reduction -- 6.3.1 Shredders -- 6.3.2 Hammer Mills -- 6.3.3 High‐Voltage Fragmentation -- 6.3.4 Knife Mills -- 6.3.5 Cryogrinding -- 6.4 Particle Size Analysis -- 6.5 Size Separation/Classification -- 6.5.1 Screening -- 6.5.2 Classification -- 6.5.2.1 Centrifugal Classifier -- 6.5.2.2 Gravitational Classifiers -- 6.6 Magnetic Separation -- 6.6.1 Low‐Intensity Magnetic Separators -- 6.6.2 High‐Intensity Magnetic Separators -- 6.7 Electrical Separation -- 6.7.1 Corona Electrostatic Separation -- 6.7.2 Triboelectric Separation -- 6.7.3 Eddy Current Separation -- 6.8 Gravity Separation -- 6.8.1 Jigs -- 6.8.2 Spirals -- 6.8.3 Shaking Tables -- 6.8.4 Zig‐Zag Classifiers -- 6.8.5 Centrifugal Concentrators -- 6.8.6 Dense Medium Separation (DM Bath/Cyclone) -- 6.9 Froth Flotation -- 6.10 Sensor‐Based Sorting -- 6.11 Example Flowsheets -- References -- Chapter 7 Pyrometallurgical Processes for Recycling Waste Electrical and Electronic Equipment -- 7.1 Introduction -- 7.2 Printed Circuit Boards -- 7.3 Pyrometallurgical Processes -- 7.3.1 Smelting -- 7.3.1.1 Copper‐Smelting Processes - Sulfide Route -- 7.3.1.2 Copper‐Smelting Processes - Secondary Smelters -- 7.3.1.3 Lead‐Smelting Processes. , 7.3.1.4 Advantages and Limitations of Smelting Processes -- 7.3.2 Electrochemical Processes -- 7.3.2.1 High‐Temperature Electrolysis -- 7.3.2.2 Low‐Temperature Electrolysis -- 7.3.3 Other Pyrometallurgical Operations Used in Electronic Waste Recycling -- 7.3.3.1 Roasting -- 7.3.3.2 Molten Salt Oxidation Treatment -- 7.3.3.3 Distillation -- 7.3.3.4 Pyrolysis -- References -- Chapter 8 Recycling Technologies - Hydrometallurgy -- 8.1 Background -- 8.2 Waste Printed Circuit Boards (WPCBs) -- 8.3 Photovoltaic Modules (PV) -- 8.4 Batteries -- 8.5 Light‐Emitting Diodes (LEDs) -- 8.6 Trends -- References -- Chapter 9 Recycling Technologies - Biohydrometallurgy -- 9.1 Introduction -- 9.2 Bioleaching: Metal Winning with Microbes -- 9.3 Biosorption: Selective Metal Recovery from Waste Waters -- 9.3.1 Biosorption Via Metal Selective Peptides -- 9.3.2 Chelators Derived from Nature -- 9.4 Bioflotation: Separation of Particles with Biological Means -- 9.5 Bioreduction and Bioaccumulation: Nanomaterials from Waste -- 9.6 Conclusion -- References -- Chapter 10 Processing of Nonmetal Fraction from Printed Circuit Boards and Reutilization -- 10.1 Background -- 10.2 Nonmetal Fraction Composition -- 10.3 Benefits of NMF Recycling -- 10.3.1 Economic Benefits -- 10.3.2 Environmental Protection and Public Health -- 10.4 Recycling of NMF -- 10.4.1 Physical Recycling -- 10.4.1.1 Size Classification -- 10.4.1.2 Gravity Separation -- 10.4.1.3 Magnetic Separation -- 10.4.1.4 Electrical Separation -- 10.4.1.5 Froth Flotation -- 10.4.2 Chemical Recycling -- 10.5 Potential Usage -- References -- Chapter 11 Life Cycle Assessment of e‐Waste - Waste Cellphone Recycling -- 11.1 Introduction -- 11.2 Background -- 11.2.1 Theory of Life Cycle Assessment -- 11.3 LCA Studies on WEEE -- 11.3.1 Applications on WEEE Management Strategy -- 11.3.2 Applications on WEEE Management System. , 11.3.3 Applications on Hazardous Potential of WEEE Management and Recycling -- 11.4 Case Study -- 11.4.1 Goal and Scope Definition -- 11.4.1.1 Functional Unit -- 11.4.1.2 System Boundary -- 11.4.2 Life Cycle Inventory -- 11.4.2.1 Formal Collection -- 11.4.2.2 Informal Collection -- 11.4.2.3 Mechanical Dismantling -- 11.4.2.4 Plastic Recycling -- 11.4.2.5 Screen Glass Recycling -- 11.4.2.6 Battery Disposal -- 11.4.2.7 Electronic Refining for Materials -- 11.4.3 Life Cycle Impact Assessment -- 11.4.4 Results -- 11.4.4.1 Feature Phone Formal Collection Scenario -- 11.4.4.2 Feature Phone Informal Collection Scenario -- 11.4.4.3 Smartphone Formal Collection Scenario -- 11.4.4.4 Smartphone Informal Collection Scenario -- 11.4.5 Discussion -- 11.5 Conclusion -- References -- Chapter 12 Biodegradability and Compostability Aspects of Organic Electronic Materials and Devices -- 12.1 Introduction -- 12.1.1 Technological Innovation and Waste -- 12.1.2 Eco‐friendliness -- 12.1.3 Organic Electronics -- 12.1.4 Opportunities for Green Organic Electronics -- 12.2 State of the Art in Biodegradable Electronics -- 12.3 Organic Field‐Effect Transistors (OFETs) -- 12.3.1 Fundamentals -- 12.3.2 Anthraquinone, Benzoquinone, and Acenequinone -- 12.3.3 Quinacridones -- 12.4 Electrochemical Energy Storage -- 12.4.1 Quinones -- 12.4.2 Dopamine -- 12.4.3 Melanins -- 12.4.4 Tannins -- 12.4.5 Lignin -- 12.5 Biodegradation in Natural and Industrial Ecosystems -- 12.5.1 Degradation and Biodegradation -- 12.5.2 Composting Process -- 12.5.3 Materials Half‐Life Under Composting Conditions -- 12.5.4 Biodegradation in the Environment -- 12.6 Microbiome in Natural and Industrial Ecosystems -- 12.6.1 The Ruminant-Hay Natural Ecosystem -- 12.6.2 The Termite-Wood Natural Ecosystem -- 12.6.3 The Industrial Composter-Biowaste Ecosystem -- 12.6.3.1 Municipal Composting Facility. , 12.6.3.2 Engineered Composting Facility -- 12.6.4 Specialized Inoculant Adapted to Organic Matter -- 12.6.5 Specialized Inoculant Adapted to Heavy Metals -- 12.7 Concluding Remarks and Perspectives -- Acknowledgment -- References -- Chapter 13 Circular Economy in Electronics and the Future of e‐Waste -- 13.1 Introduction -- 13.2 Digitalization and the Need for Electronic Devices -- 13.3 Recycling and Circular Economy -- 13.4 Challenges for e‐Waste Recycling and Circular Economy -- 13.5 Drivers for Change - Circular Economy -- 13.6 Demand for Recyclable Products -- 13.7 Summary -- References -- Index -- EULA.

Note: Intro -- Preface -- Contents -- About the Editors -- Machine Learning-Based Project Resource Allocation Fitment Analysis System (ML-PRAFS) -- 1 Introduction -- 1.1 Outlook -- 1.2 Purpose of the Research -- 1.3 Outline of the Proposed Model -- 1.4 Organizing of the Paper -- 2 AI-Based PMP -- 2.1 Effective Utilization of Resources -- 2.2 More Effective Planning -- 2.3 Effective Cost Management -- 2.4 Project Dynamics -- 3 Framework for the Proposed Model -- 3.1 Fundamental Elements of the Model -- 3.2 Metrics for the Models -- 3.3 Data Classifiers and Training Model -- 3.4 Algorithm for the Proposed Model -- 3.5 Datasets -- 4 Test Result Analysis -- 5 Conclusion -- References -- Electric Theft Detection Using Unsupervised Machine Learning-Based Matrix Profile and K-Means Clustering Technique -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Matrix Profile -- 2.2 K-Means Clustering Algorithm -- 2.3 Results and Discussion -- 3 Conclusion -- References -- Placement Analysis-A New Approach to Ease the Recruitment Process -- 1 Introduction -- 2 Literature Survey -- 2.1 PAT -- 2.2 Workable -- 3 Proposed Methodology -- 4 Results -- 5 Conclusion -- 6 Future Scope -- References -- Continuous Assessment Analyzer Using Django -- 1 Introduction -- 2 Existing System -- 3 Proposed Methodology -- 4 Result of the Interface and Functionality -- 5 Conclusion -- 6 Future Scope -- References -- Fuzzy Logic in Battery Energy Storage System (BESS) -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Research Goal -- 1.3 Objective -- 1.4 Scope of the Project -- 2 Literature Review -- 2.1 Introduction -- 2.2 Battery -- 2.3 Fuzzy Logic Controller -- 3 Methodology -- 3.1 Battery -- 3.2 Proteus Simulation -- 3.3 MATLAB/Simulink Simulation -- 3.4 Fuzzy Logic Designer -- 3.5 Hardware Development -- 3.6 Box Storage for the Battery Energy Storage System. , 3.7 Battery Energy Storage System Flowchart -- 4 Results and Discussion -- 4.1 Battery Energy Storage System (BESS) with Conventional Sequential Algorithm -- 4.2 Results Using Conventional Sequential Algorithm -- 4.3 Fuzzy Logic in Battery Energy Storage System (BESS) -- 5 Conclusion -- References -- Fault Classification of Cooling Fans Using a CNN-Based Approach -- 1 Introduction -- 2 Research Background -- 3 Methodology -- 3.1 System Overview -- 3.2 Experimental Setup -- 3.3 Fault Classification Using Image Encoding and CNN -- 4 Results and Analysis -- 4.1 Application of Convolutional Neural Network -- 5 Conclusion -- References -- Violence Recognition Using Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 2.1 Deep Learning -- 2.2 Convolutional Neural Networks (CNNs) -- 2.3 The Previous Studies on Action Classification Frameworks -- 3 Research Methodology -- 4 Model Design and Development -- 5 Discussions and Result -- 5.1 Analysis on VGG19 Model -- 5.2 Analysis on MobileNetV2 Model -- 5.3 Analysis on InceptionResNetV2 Model -- 5.4 Comparison of Analysis Between VGG19, MobileNetV2, and InceptionResNetV2 -- 6 Conclusion -- References -- Automated Grading of Citrus suhuiensis Fruit Using Deep Learning Method -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Acquisition -- 3 Classification Using Convolutional Neural Network -- 4 Results and Discussion -- 5 Conclusion -- References -- The Future of Car Automation Field with Smart Driverless Technologies -- 1 Introduction -- 1.1 Need -- 1.2 What Would Happen When the Whole City's Car and Transportation Become Driverless? -- 2 The Five Principles of Swarm Intelligence -- 3 Major Advance Work in Real-Time Top Autonomous Car's and Its Advance Features Areas -- 3.1 Mercedes-Benz F015 Luxury in Motion -- 3.2 Volvo Cars Unified Interface for Self-driving Cars -- 3.3 Tesla Autopilot. , 3.4 Google Self-driving Car -- 4 Artificial Intelligence System in Car Automation Field -- 5 IOI-Based Car Automation System -- 6 Limitation's with Self-driving Cars and Real Practical Actual Accidents till Now -- 7 Conclusion -- References -- Diagnosis and Medicine Prediction for COVID-19 Using Machine Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Materials and Methodology -- 3.1 Dataset Used -- 3.2 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Automated Guided Vehicle Robot Localization with Sensor Fusion -- 1 Introduction -- 2 Methodology -- 3 Experiments and Result -- 4 Conclusion -- References -- Implementation of Industrial Automation Water Distribution System Utilizing PLC: A Laboratory Setup -- 1 Introduction -- 2 Automation by Programmable Logic Controller -- 3 Hardware Development -- 4 Supervisory Control and Data Acquisition System (SCADA) -- 5 Conclusion -- References -- Control of Thin McKibben Muscles in an Antagonistic Pair Configuration -- 1 Introduction -- 2 Thin McKibben Muscle Platform -- 3 Control Strategy of Thin McKibben Muscle Platform -- 4 Experimental Results -- 5 Conclusion -- References -- Defect Severity Classification of Complex Composites Using CWT and CNN -- 1 Introduction -- 2 Signal Preprocessing Using Continuous Wavelet Transform -- 3 Classification Using Convolutional Neural Network -- 4 Results and Discussion -- 5 Conclusion -- References -- Detection of Mobile Phone Usage While Driving Using Computer Vision and Deep Learning -- 1 Introduction -- 2 Research Methodology -- 2.1 Image Acquisition -- 2.2 Data Preprocessing -- 2.3 Proposed Methodology -- 3 Experimental Results -- 3.1 Faster R-CNN Model Results -- 3.2 Performance Evaluation Between Existing Works and Proposed Work -- 4 Conclusion -- References. , Industry Revolution 4.0 Knowledge Assessment in Malaysia -- 1 Introduction -- 2 Building Skills 4.0 Through University and Enterprise Collaboration (SHYFTE) -- 3 Industry Revolution 4.0 Knowledge Assessment Methodology -- 4 Results and Discussions -- 4.1 Vision of Digital Transformation and IR4.0 Technology Importance Assessment -- 4.2 IR4.0 Skills Assessment -- 4.3 IR4 Establishment and Willingness to Adopt -- 4.4 Technology Adoption -- 5 Conclusions -- References -- Practical Approaches: User Stories Domain Prediction and Keyword Extraction for Insights -- 1 Introduction -- 1.1 Natural Language Processing -- 1.2 Natural Language Generation -- 1.3 Named Entity Recognition -- 2 Related Work -- 3 Practical Implementation on Domain Classification and Keyword Extraction -- 3.1 Data Collection -- 3.2 Algorithm Implementation -- 3.3 Keyword Extraction -- 3.4 API Building -- 4 Conclusion -- References -- An Improved Content-Based Image Retrieval System for Tomato Leaf Disease Classification -- 1 Introduction -- 2 Methodology -- 2.1 Pre-processing -- 2.2 Feature Extraction -- 2.3 Feature Combination -- 2.4 Disease Classification -- 3 Results -- 3.1 Implementation -- 3.2 Classification -- 4 Conclusion -- References -- Plant Disease Identification Using Discrete Wavelet Transform and Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 System Requirements -- 3.3 Experimental Setup -- 4 Results and Discussion -- 4.1 Comparative Results -- 5 Conclusion and Scope of Further Study -- References -- Recognizing Art Style Automatically in Painting Using Convolutional Neural Network -- 1 Introduction -- 2 Related Works -- 3 The Proposed Framework -- 3.1 Model Explanation -- 3.2 Classification Loss Function -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Experimental Analysis and Comparison -- 5 Conclusion. , References -- Depressive Bangla Text Detection from Social Media Post Using Different Data Mining Techniques -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset -- 3.2 Text Preprocessing -- 3.3 Feature Extraction Method -- 3.4 Supervised Learning and Classifier -- 4 Result Analysis -- 5 Conclusion -- References -- Implementation of Optimized PID Controllers in Real Time for Magnetic Levitation System -- 1 Introduction -- 2 Modeling of MAGLEV System -- 2.1 Brief Description of the MAGLEV Hardware Plant -- 2.2 Mathematical Model of the MAGLEV System -- 3 Optimized PID Design Algorithm -- 4 Simulation and Real-Time Results -- 5 Conclusions -- References -- Anomalous Behavior Detection in Examination -- 1 Introduction -- 2 Related Works -- 3 Design of New Work -- 4 Conclusions -- References -- A Survey on DDoS Attacks from Compromised Devices to Enhance IoT Security -- 1 Introduction -- 2 Related Work -- 3 Classification of DDoS Attacks -- 4 Appliance of DDoS Attacks -- 5 Artificial Intelligence in Identification of DDoS Attacks -- 6 Conclusion -- References -- A Study of Glaucoma Diagnosis Using Brain-Computer Interface Technology -- 1 Introduction -- 2 Related Works -- 3 Emerging Technology in Visual Field Test -- 3.1 Cambridge Glaucoma Visual Function Test -- 3.2 Visual Function Test Using Virtual Reality Goggle -- 3.3 Perimetry Analysis Using Tablet -- 3.4 Tablet Perimetry with Gaze Tracking -- 3.5 Visual Field Test Using Robot -- 4 How SSVEP-Based BCI Best for Glaucoma Diagnosis -- 5 Conclusion -- References -- Seafloor Habitat Mapping Using Machine Learning and Underwater Acoustic Sonar -- 1 Introduction -- 2 Methodology -- 2.1 Study Area -- 2.2 Data Collection -- 2.3 Data Processing -- 2.4 Machine Learning -- 3 Results and Discussion -- 4 Conclusion -- References. , Smart Irrigation for Enhanced Agriculture Production Using IoT.

Note: Intro -- Contents -- Artificial Neural Network and Partial Pattern Recognition to Detect Malware -- 1 Introduction -- 2 Literature Review -- 2.1 Signature-Based Malware Detection -- 2.2 Behavior-Based Malware Detection -- 2.3 Heuristic-Based Malware Detection -- 3 Methodology -- 3.1 Opcode Extraction -- 3.2 Feature Selection -- 3.3 Constructing Feature Vector -- 3.4 Feature Classifier -- 3.5 Training the Model -- 3.6 Testing -- 4 Dataset Used -- 5 Results -- References -- Epidemiology and Forecasting of Cholera Incidence in North India -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Collection -- 2.2 Application of Software Used for Data Analysis -- 2.3 Methods -- 3 Epidemiological Features -- 3.1 Agent -- 3.2 Mode of Transmission (Vibrio) -- 3.3 Environmental Factors -- 4 Results and Discussions -- 5 Conclusion -- References -- A Novel Approach for Improving Routing Efficiency and Minimizing Propagation Mean Delay for DADCQ Protocol in VANET -- 1 Introduction -- 1.1 Literature Review -- 2 Application Distance Method for 1D and 2D Networks -- 2.1 Analysis of Spatial Distribution in VANET -- 2.2 Adaption of Node Distribution Pattern for 1D and 2D Uniform Distributions -- 3 Reduction of Fading and It's Analysis in the Network -- 4 Design of Quadrant-Based Threshold -- 5 Analysis of Routing Efficiency and It's Improvement for DADCQ Protocol in VANET -- 6 Analysis and Minimizing Mean Delay for DADCQ Under Eavesdropping and DDoS Attacks -- 7 Conclusion -- References -- Human Computer Interaction as a Mode of Improvement in Human Lifestyle -- References -- New Fast and Efficient Techniques for Image Denoising Using VQ, PCA, SVD, Soft Thresholding and Wiener Filter -- 1 Introduction -- 2 Proposed Techniques -- 2.1 Vector Quantization -- 2.2 PCA -- 2.3 PCA for Denoising -- 2.4 SVD -- 2.5 Soft Thresholding [15, 16] -- 2.6 Wiener Filter [17]. , 3 Results and Analysis -- 4 Complexity Analysis of Proposed LBGPCASTW and LBGSVDSTW with LPGPCA -- 5 Conclusions -- References -- Elicitation and Analysis of Security Requirements and Patterns for IoT Based Health Monitor -- 1 Introduction -- 2 Related Work -- 3 Design and Functioning of Health Monitor Using IOT -- 4 Security Requirements Elicitation -- 5 Identification of Security Requirement Patterns for Security in Requirements Phase -- 6 Security Requirements Patterns Analysis and Its Impact on Security Objectives of IoT Health Monitor -- 7 Conclusion and Future Work -- References -- Classification of Remote Sensing Images Based on K-Means Clustering and Artificial Bee Colony Optimization -- 1 Introduction -- 2 Methodology -- 3 Classification Methods -- 4 Results and Discussions -- 5 Conclusion -- References -- Internet of Things and Its Applications: An Overview -- 1 Introduction -- 2 Related Work -- 3 Elements of IoT -- 4 Framework-Architecture -- 5 Analysis, Monitoring, and Reporting -- 6 Case Studies-Applications -- 7 Conclusion and Future Scope -- References -- Smart KYC Using Blockchain and IPFS -- 1 Introduction -- 1.1 IPFS -- 1.2 DLT -- 2 Present Versus Proposed System -- 3 Proposed Architecture -- 3.1 Document Submission -- 3.2 Notary Verification -- 3.3 Third Party Verification -- 4 Benefits of the System -- 5 Future Aspects -- 6 Conclusion -- References -- Lexical Analysis and Mathematical Modelling for Analysing Depression Detection of Social Media Reviews -- 1 Introduction -- 2 Related Study -- 3 Our Proposed Model -- 4 Result Analysis -- 5 Conclusion -- 6 Future Enhancement -- References -- Application of Neural Networks and Lifting Wavelet Transform for Long Term Solar Radiation Power Prediction -- 1 Introduction -- 2 Overview of Basics -- 2.1 Recurrent Neural Networks -- 2.2 Wavelet Transforms. , 2.3 Construction of Second Generation Wavelets (Lifting Scheme) [7] -- 2.4 Multi-resolution Analysis (MRA) [18] -- 3 Construction of Lifting Wavelet Transform -- 4 Experiment -- 4.1 Solar Radiation Prediction with Neural Networks -- 4.2 Modeling of NARX Neural Network -- 4.3 Results -- 5 Conclusion -- References -- Modeling Sustainable Mobility Using Fuzzy Logic: An Application to Selected Indian States -- 1 Introduction -- 2 Methodology -- 2.1 Development of Sustainable Mobility Indicators -- 2.2 Normalization, Weighting and Mathematical Integration -- 2.3 Integrating the Sub-indices with Fuzzy Logic -- 3 Study Areas and Data Collection -- 4 Results and Discussions -- 5 Conclusion -- References -- Shravya-A Framework for Enunciation of Sanskrit Shlokas and Phrases -- 1 Introduction -- 2 Literature Survey -- 2.1 Sandhi Vicched -- 2.2 Enunciation-Shloka Generation -- 3 Shravya -- 3.1 Sandhi Vicched Module -- 3.2 Shloka Audio Generation -- 3.3 Training -- 3.4 Esting -- 4 Conclusion -- 5 Future Scope -- References -- Energy-Efficiency in WSN Based on SCMC Protocol -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Proposed System Architecture -- 3.2 Proposed Design Goal -- 3.3 Dynamic Cluster Formation -- 4 Experimental Results -- 5 Conclusion -- References -- Extending Bidirectional Language Model for Enhancing the Performance of Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Word Embedding Using Bidirectional Language Model -- 3.2 Sentiment Analysis Approach -- 4 Result Analysis -- 5 Conclusion and Future Work -- References -- Energy-Efficiency Driven Strategy for Resource Aggregation Based on Future Resource-Usage Inference in a Cloud Computing Environment -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Proposed Model -- 5 Implementation Details -- 6 Evaluation with Assessment. , 6.1 Simulation Details -- 6.2 Result Analysis -- 7 Conclusion -- References -- A Comparison of Deep Learning Algorithms for Plant Disease Classification -- 1 Introduction -- 2 Literature Survey -- 2.1 Dataset -- 3 Model Architecture -- 3.1 LeNet -- 3.2 AlexNet -- 3.3 Inception V3 -- 4 Experiments and Results -- 5 Conclusion -- References -- Active Learning Using Margin Sampling Strategy for Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 Corpus Details -- 4 Feature Extraction and Classifier Used -- 5 Active Learning Algorithm Steps -- 6 Result and Discussion -- 7 Conclusion -- References -- Design of QoS and Energy Efficient VM Consolidation Framework for Cloud Data Centers -- 1 Introduction -- 2 Related Works -- 3 CloudSim VM Consolidation -- 4 Proposed VM Consolidation System -- 4.1 Novel Load Detection Algorithm -- 4.2 VM Selection Algorithm -- 4.3 PSO Based VM Placement -- 5 Conclusion and Future Work -- References -- Cyberbullying Detection on Multiple SMPs Using Modular Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Dataset Preprocessing -- 3.2 Architecture -- 4 Experiments and Results -- 5 Conclusion -- References -- Lightweight Two-factor Authentication Protocol and Session Key Generation Scheme for WSN in IoT Deployment -- 1 Introduction -- 2 Related Work -- 3 Revisiting Amin and Biswas's Algorithm -- 4 Proposed Protocol -- 4.1 System Setup and Initialization Phase -- 4.2 User Registration Phase -- 4.3 Login Phase -- 4.4 Authentication and Session Key Generation Phase -- 5 Analysis of the Proposed Protocol -- 5.1 Prevents All Session Hi-Jacking Due to Sensor Capture Attack -- 5.2 Preventing Gateway Impersonation Attack [23, 27] -- 5.3 Avoiding Sensor Node Impersonation Attack [27] -- 6 Conclusion and Future Scope -- References. , An Empirical Evaluation of Correlation Based Feature Selection for Tweet Sentiment Classification -- 1 Introduction -- 2 Evaluation Methods and Model -- 2.1 Dataset -- 2.2 Data Preprocessing -- 2.3 Feature Selection Methods -- 2.4 Sentiment Classification -- 3 Experimental Results -- 4 Conclusion -- References -- Automatic Traffic Sign Detection and Classification of Indian Traffic Signage's Based on Multi-feature Fusion -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preprocessing and Segmentation -- 3.2 Feature Extraction Methods -- 3.3 Feature Fusion -- 3.4 Classification -- 4 Results -- 5 Conclusion -- References -- Extended Local Ternary Pattern for Face Anti-spoofing -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Spoofing Detection Using ELTP -- 4 Results and Discussions -- 5 Conclusion -- References -- Enhancing Data Security in Cloud Computing Using Threshold Cryptography Technique -- 1 Introduction -- 2 Problem Statement -- 3 Literature Survey -- 3.1 Existing Systems -- 3.2 Proposed System -- 4 Objectives -- 5 Methodology and Assumptions -- 6 Implementation -- 7 Security and Performance Analysis -- 7.1 Data Confidentiality -- 7.2 Entity Authentication -- 7.3 Data Integrity -- 7.4 Data Access Control -- 7.5 Performance Analysis -- 8 Conclusion -- References -- Multi-resolution Hierarchical Clustering by Vector Quantization -- 1 Introduction -- 2 Principles and Methodology -- 2.1 The Proposed Clustering Algorithm for Vector Quantization -- 2.2 Complexity Analysis -- 3 Multi-resolution Clustering -- 4 Experiment and Results -- 5 Conclusion -- References -- Certificate Verification System Using Blockchain -- 1 Introduction -- 1.1 Blockchain -- 1.2 Ethereum -- 1.3 Smart Contract -- 2 Related Works -- 3 Proposed System -- 3.1 Process -- 4 Conclusion -- References. , IoT Based Automatic Plant Watering System Through Soil Moisture Sensing-A Technique to Support Farmers' Cultivation in Rural India.

Note: Intro -- Preface -- Contents -- Automatic Notes Generation from Lecture Videos -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Procedure -- 4.1 Extraction of Audio and Speech Recognition -- 4.2 Punctuating the Text and Preprocessing -- 4.3 Dividing into Subtopics -- 4.4 Generating PDF and PPT -- 5 Results -- 6 Conclusion and Future Work -- References -- Correlation Between Code Smells for Open Source Java Projects -- 1 Introduction -- 2 Related Study -- 3 Research Methodology -- 3.1 Datasets -- 3.2 Code Smells -- 3.3 Correlation -- 4 Results -- 5 Conclusions and Future Scope -- References -- Throughput Improvement in Energy Efficient Heterogeneous Wireless Sensor Network -- 1 Introduction -- 1.1 Sensor Node -- 1.2 Energy Saving Mechanisms in WSN -- 1.3 Routing Protocols -- 1.4 Energy Efficiency in Mac Protocols in WSN -- 1.5 Motivation -- 2 Literature Review -- 3 Energy Consumption Model -- 4 EEC Network Model -- 4.1 Cluster Formation and Cluster Head Selection -- 5 Proposed Protocol -- 6 Simulation Parameters -- 7 Simulation Results and Discussion -- 7.1 Network Initialization and Neighbour Discovery -- 7.2 Cluster Formation and CH Selection -- 8 Performance Analysis -- 8.1 Energy Graph -- 8.2 Packet Delivery Ratio -- 8.3 Throughput -- 9 Conclusions -- References -- Deep Learning Models for Rubik's Cube with Entropy Modelling -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Data Structure Generation -- 3.2 Data Set Generation Using Standard Algorithms -- 3.3 Deep Learning Models (RL/CNN/LSTM) Implementation -- 3.4 Entropy Modelling Traversal -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Detecting Diabetic Retinopathy Using Deep Learning Technique with Resnet-50 -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Feature Extraction in Fundus Image. , 3.2 Fundus Image Classification -- 4 Results -- 4.1 Symptoms Identification -- 4.2 Disease Severity Classification -- 5 Conclusion and Future Scope -- References -- Restoration of Rician Corrupted MR Data Using Improved Hybrid Model -- 1 Introduction -- 2 Background -- 2.1 Rician Distribution in Molecular Imaging -- 2.2 Application of Hybrid Filter in MR Imaging -- 3 Experimental Results -- 3.1 Hybrid Model Applied to Thorax MR Images -- 3.2 Hybrid Model Applied to Brain MR Images -- 4 Conclusion -- References -- Flight Delay Prediction Using Random Forest Classifier -- 1 Introduction -- 2 Related Work -- 2.1 Dataset -- 3 System Implementation and Results -- 4 Conclusion -- 5 Future Enhancement -- References -- A Framework Using Markov-Bayes' Model for Intrusion Detection in Wireless Sensor Network -- 1 Introduction -- 2 Related Research -- 3 The Model -- 4 Hidden Markov and Bayesian Network Model -- 5 Simulation Experiments and Result Analysis -- 6 Conclusion -- References -- Effective Text Comment Classification Using Novel ML Algorithm-Modified Lazy Random Forest -- 1 Introduction -- 2 Literature Review -- 3 System Design -- 3.1 Data Pre-Processing -- 3.2 Training with the Model -- 3.3 SPAM Classification -- 4 Proposed Algorithm -- 5 Experiment and Results -- 6 Results with HOLD-OUT Method: Youtube and SMS Dataset -- 6.1 Hold-Out Method Results on Youtube Dataset -- 6.2 Hold-Out Method Results on SMS Dataset -- 7 Results with K-Fold CV Method: YouTube and SMS Dataset -- 7.1 K-Fold CV Method Results on YouTube Dataset -- 7.2 Lazy Random Forest -- 7.3 Native Bayes -- 8 Conclusion -- References -- Unraveling Deep Learning Performance in Cross-Sensor Iris Recognition -- 1 Introduction -- 2 Proposed Work -- 2.1 Description of Standard CNN Models -- 2.2 Image Augmentation -- 2.3 Feature Extraction -- 2.4 Classification -- 3 Experiments. , 3.1 Dataset Description -- 3.2 Experimental Design -- 4 Experimental Outcomes -- 5 Conclusion -- References -- Travelling Salesman Problem Using GA-ACO Hybrid Approach: A Review -- 1 Introduction -- 2 Travelling Salesman Problem (TSP) -- 3 Approaches to Solve TSP -- 3.1 Genetic Algorithm (GA) -- 3.2 Ant Colony Optimization (ACO) -- 3.3 Hybridization -- 4 Conclusion -- Bibliography -- Efficient and Robust Indian Number Plate Recognition Through Modified and Tuned LPRNet -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach: Modified LPRNet -- 3.1 Existing LPRNet Model -- 3.2 Modified LPRNet Model -- 3.3 Post Processing -- 4 Experiment Setup -- 4.1 Dataset -- 4.2 Training Details -- 5 Results -- 5.1 Synthetic Data Results -- 5.2 Transfer Learning on Real Data -- 5.3 Confusion Matrix and Test Accuracy -- 5.4 Sample Results -- 6 Conclusion and Future Work -- References -- An Improved Machine Learning Prediction Model for Diabetes -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Toolkit -- 3.2 Dataset Description -- 3.3 Proposed Approach -- 3.4 Kmeans Clustering Algorithm -- 3.5 Voting Classifier -- 4 Results -- 5 Conclusions and Future Scope -- References -- University Recommendation System for Higher Studies in USA -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Scope of the Project -- 2 Literature Survey -- 3 Our University Recommendation System -- 4 System Architecture -- 4.1 DataSet -- 4.2 Data Cleaning -- 5 Algorithms Used -- 5.1 Collaborative Filtering -- 5.2 Content Based Filtering -- 5.3 Similarity and Distance -- 5.4 K Nearest Neighbor -- 5.5 Random Forest Classifier -- 6 Result and Analysis -- 7 Conclusion and Future Scope -- References -- Comparison of Performances of Regression Model-Based Prediction of Meteorological Conditions -- 1 Introduction -- 1.1 Linear Regression -- 1.2 Logistic Regression. , 1.3 K-Means Clustering -- 2 Procedure -- 2.1 Dataset Extraction -- 2.2 Linear Regression -- 2.3 Logistic Regression -- 2.4 Clustering -- 3 Flow Chart -- 3.1 Linear Regression -- 3.2 Logistic Regression -- 3.3 Clustering -- 4 Results -- 4.1 Linear Regression -- 4.2 Logistic Regression -- 4.3 Clustering -- 5 Conclusion -- References -- Vocal Source Builds Divergence in Gender Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Multi Layered Perceptron (MLP) -- 2.2 RandomForest -- 2.3 DecisionTree -- 2.4 LogisticRegression -- 3 Procedure -- 3.1 Multi Layered Perceptron (MLP) -- 3.2 Random Forest -- 3.3 Decision Tree -- 3.4 Logistic Regression -- 4 Results -- 4.1 Multi Layered Perceptron(MLP) -- 4.2 Random Forest -- 4.3 Decision Tree -- 4.4 Logistic Regression -- 5 Conclusions -- References -- An Analytical Prediction of Breast Cancer Using Machine Learning -- 1 Introduction -- 2 Methodology -- 2.1 K-Nearest Neighbour -- 2.2 Random Forest -- 2.3 Artificial Neural Network -- 3 Procedure -- 3.1 Data Set and Pre-processing -- 3.2 Decision Tree -- 3.3 Gaussian Naïve Bayes -- 3.4 Artificial Neural Network -- 4 Results -- 4.1 K-Nearest Neighbor Evaluation -- 4.2 Logistic Regression Evaluation -- 4.3 Naïve Bayes Evaluation -- 4.4 SVC Evaluation -- 4.5 Decision Tree Evaluation -- 4.6 Random Forest Evaluatıon -- 5 Conclusion -- References -- A Synopsis of Monocular Depth Estimation -- 1 Introduction -- 2 Datasets -- 2.1 NYU-Depth V2 -- 2.2 KITTI Dataset -- 2.3 Make3D -- 2.4 Gamehook Mod -- 2.5 Synthia Dataset -- 3 Methods -- 3.1 Supervised -- 3.2 Unsupervised -- 3.3 Semi-supervised -- 3.4 Self-supervised -- 4 Prominent Work Done -- 4.1 Intel-ISL MiDaS -- 4.2 Consistent Video Depth Estimation -- 5 Comparative Study -- 6 Scope -- 6.1 3D Reconstruction and Point Cloud -- 6.2 Virtual Effects -- 6.3 Object Trajectory -- 6.4 Absolute Depth -- 6.5 Parallax Simulation. , 6.6 Drawbacks of Traditional Methods -- 7 Conclusion -- References -- Automated Car Parking System Using Deep Convolutional Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Methodology Used -- 3.1 Creation of CNN Model -- 3.2 Creation of Training and Test Labelled Dataset -- 3.3 Experimentation -- 4 Result and Discussions -- 5 Conclusion and Future Scope -- References -- Currency Exchange Rate Prediction Using Multi-layer Perceptron -- 1 Introduction -- 2 Acquiring and Preparing Data -- 3 Building the MLP Model with Keras -- 4 Training and Testing of the Model -- 5 Results and Conclusion -- References -- Analysis of Web Application Firewalls, Challenges, and Research Opportunities -- 1 Introduction -- 1.1 Web Application Firewall -- 1.2 Web Application Security Risk -- 2 Related Work -- 2.1 Critcal Analysis of Web Application Firewall -- 2.2 APO Technique -- 2.3 Dataset -- 2.4 ANN based Web Application Firewall -- 3 Comparison of Web Application Firewalls -- 4 Proposed Approaches -- 4.1 Multimodal Networks -- 4.2 Attention-Based Mechanism -- 4.3 Heuristic Based Selection -- 5 Followings Are the Key Finding from Above Survey -- 6 Conclusion -- References -- A Comparative Study for Predicting Burned Areas of a Forest Fire Using Soft Computing Techniques -- 1 Introduction -- 2 Materials and Methods -- 2.1 Description of Dataset -- 2.2 Methods -- 3 Results and Discussion -- 3.1 Data Preparation -- 3.2 Performance Analysis -- 3.3 Computational Execution Time -- 4 Conclusion -- References -- Shill Bidding Detection in Online Auction -- 1 Introduction -- 2 Literature Survey -- 3 Proposal -- 3.1 Patterns Observed in Real Time Online Auctions -- 3.2 Security Perspective -- 4 Result Analysis -- 5 Conclusion -- References -- An Optimal Region Growing Segmentation Algorithm with Decision Tree Tumor Classifier -- 1 Introduction -- 2 Literature Survey. , 3 Proposed Methodology.

Note: Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- Editors -- Contributors -- Chapter 1: Global Environmental Issues and the Role of Nanobiotechnology for the Sustainable Environment -- Chapter 2: Municipal Solid Waste Management: Recent Practices -- Chapter 3: Recent Advances in the Structural Modifications of Nanoparticles to Enhance Photocatalytic Activity -- Chapter 4: Microbiological Degradation of Organic Pollutants from Industrial Wastewater -- Chapter 5: Lignocellulosic Biomass Wastes to Bioenergy: Role of Microbial Enzymes for Second Generation Biofuels -- Chapter 6: Microbiological Removal of Heavy Metals from the Environment: An Eco-Friendly Approach -- Chapter 7: Recent Trends in Solar Photocatalytic Degradation of Organic Pollutants using TiO2 Nanomaterials -- Chapter 8: Recent Advancement in Phytoremediation for Removal of Toxic Compounds -- Chapter 9: Utilization of Nanoparticle-Loaded Adsorbable Materials for Leachate Treatment -- Chapter 10: Application of Fe-TiO2 Nanoparticle Composite Encompassing the Dual Effect -- Index.

Note: Intro -- Preface -- Contents -- About the Editors -- IOT Smart Locker -- 1 Introduction -- 2 Literature Review -- 3 Workflow of the System -- 3.1 To Open This Smart Locker, the User Has to Go Under These Steps to Access the Locker -- 3.2 Tool Kit -- 3.3 Proposed Model -- 4 Result from Observation -- 5 Conclusion -- References -- Brief Analysis on Human Activity Recognition -- 1 Introduction -- 1.1 Human Activity Recognition (HAR) -- 2 Related Work -- 3 Deep Neural Network (DNN) -- 4 System Design -- 5 Result -- 6 Conclusion -- References -- Lora-Based Smart Garbbage Alert Monitoring System Using ATMEGA 328, 2560, 128 -- 1 Introduction -- 2 Literature Review -- 3 Existing System -- 4 Proposed System -- 5 Working -- 6 Cloud Database -- 7 Simulated Output of the System on the Cloud -- 8 Components Required -- 9 IR Sensor -- 10 LoRaWAN -- 11 Principle of Operation -- 12 Conclusion -- References -- Pre-birth Prognostication of Education and Learning of a Fetus While in the Uterus of the Mother Using Machine Learning -- 1 Introduction -- 2 Why Subsidizing in Early Brain Development? -- 2.1 Literature Survey -- 2.2 The Three Key Aspects What Baby Learns -- 2.3 How Early Staged Career Guidance Can Shape Future -- 3 How the Future Learning Can Be Predicted -- 3.1 Applying Decision Tree to Predict Educational Stream -- 3.2 Merits and Demerits of This Predication -- 4 Conclusion -- References -- Performance Analysis of Single-Stage PV Connected Three-Phase Grid System Under Steady State and Dynamic Conditions -- 1 Introduction -- 2 Photovoltaic System -- 2.1 PV System -- 2.2 Power Electronic Converter -- 2.3 MPPT Method -- 3 Simulation Result Analysis -- 4 Conclusions -- References -- Delay Feedback H_infty Control for Neutral Stochastic Fuzzy Systems with Time Delays -- 1 Introduction -- 2 Problem Description -- 3 Main Results -- 4 Numerical Example. , 5 Conclusion -- References -- Modeling Crosstalk of Tau and ROS Implicated in Parkinson's Disease Using Biochemical Systems Theory -- 1 Introduction -- 2 Methods -- 2.1 Generalized Mass Action Kinetics -- 2.2 Michaelis-Menten's Kinetics -- 2.3 Hill Equation -- 3 Results -- 3.1 Increased Concentration Levels of ROS, Alpha Synuclein Aggregation and Oxidized DJ-1 in Diseased Conditions -- 3.2 Mitochondrial Dysfunction Leads to NFT Production in Diseased Conditions -- 4 Discussion -- 5 Conclusion -- References -- IoT-Based Patient Vital Measuring System -- 1 Introduction -- 2 Literature Survey -- 3 Hardware and Software Platform -- 4 Result and Performance Analysis -- 5 Security Compliance -- 6 Conclusion and Future Work -- References -- IoT-Enabled Logistics for E-waste Management and Sustainability -- 1 Introduction -- 2 Literature Review -- 3 E-waste Management Network -- 4 Conclusion -- References -- Navigation Through Proxy Measurement of Location by Surface Detection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Feature Extraction -- 3.4 Model Selection -- 3.5 Performance Evaluation -- 4 Conclusion and Future Enhancements -- References -- Unsupervised Learning Algorithms for Hydropower's Sensor Data -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 One Class Support Vector Machine -- 3.2 Isolation Forest -- 4 Conclusion -- References -- Feature Construction Through Inductive Transfer Learning in Computer Vision -- 1 Introduction -- 2 Deep Learning -- 3 Transfer Learning -- 4 Target Dataset-Place Dataset -- 5 Overall Approach -- 5.1 Data Pre-processing -- 5.2 Model Transfer -- 5.3 Training the Datasets -- 5.4 Figures and Tables -- 6 Result -- 7 Conclusion and Future Work -- References. , Decoding Motor Behavior Biosignatures of Arm Movement Tasks Using Electroencephalography -- 1 Introduction -- 2 Methods -- 2.1 Subject Summary and Data Collection -- 2.2 Design of Experiment and Execution Steps -- 2.3 Design of Experiment and Execution Steps -- 3 Results -- 3.1 Increased Θ and γ Activity in Frontal and Temporal Regions in Motor Planning Phase of Cognitive Tasks -- 3.2 Behavioral Variations in Θ and γ Rhythms in Frontal, Temporal and Parietal Lobes in Motor Execution Phase of Cognitive Motor Performances -- 3.3 Activity Related Increase of Theta and Gamma Waves in Frontal and Temporal Regions in Linear and Complex Motor Actions -- 4 Discussion -- 5 Conclusion -- References -- Emergency Robot -- 1 Introduction -- 1.1 Literature Survey -- 2 Description of Vehicle Section -- 2.1 Gas detector -- 2.2 Metal Detector -- 2.3 Web Camera -- 2.4 Gun Control -- 3 System Implementation -- 3.1 Work Flow of the Model -- 3.2 Troubleshooting -- 4 Proposed System -- 4.1 Controlling Section -- 5 Hardware Implementation -- 5.1 Circuit Diagram -- 6 Result -- 7 Conclusion -- 8 Future Scope -- References -- Type Inference in Java: Characteristics and Limitations -- 1 Introduction -- 2 Type Inference in Java -- 2.1 Java 5 -- 2.2 Java 7 -- 2.3 Java 8 -- 2.4 Java 10 -- 3 Limitations -- 3.1 Wildcard as Return Type -- 3.2 Chained Method Call -- 3.3 Local Variable Inference -- 4 Discussion -- 5 Conclusion -- References -- Detection and Correction of Potholes Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 System Architecture -- 4 Support Vector Machine -- 4.1 Working of SVM -- 4.2 Working of Pothole Detection Robot -- 5 Results and Discussions -- 5.1 Normal Support Vector Classifier (SVC) Where no Features Are Used Gives 62.5% Accuracy. -- 5.2 SVC with Corner Detection Gives 62.5% Accuracy. , 5.3 SVC with Canny Edge Detection is 75% Accuracy. -- 5.4 SVC with Canny Edge Detection and Corner Detection 68.75% Accuracy. -- 6 Future Scope -- 7 Conclusion -- References -- Detecting COVID-19 Using Convolution Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Data Preprocessing -- 3.2 Implementation -- 4 Results and Discussions -- 5 Conclusion -- References -- Electroencephalography Measurements and Analysis of Cortical Activations Among Musicians and Non-musicians for Happy and Sad Indian Classical Music -- 1 Introduction -- 2 Methods -- 2.1 Subject Selection and Screening -- 2.2 Auditory Stimuli -- 2.3 Experiment Design -- 2.4 EEG Data Acquisition and Computational Analysis -- 3 Results -- 3.1 Brain Rhythms Shifts from Gamma-Alpha in Happy Music Perception and Alpha-Beta-Gamma for Other Auditory Cues in Musicians and Non-musicians -- 3.2 Behavioural Pattern Variations of Brain Rhythms for Sad Music Stimuli and Other Auditory Cues in Musicians and Non-musicians -- 4 Discussion -- 5 Conclusion -- References -- Signal Processing in Yoga-Related Neural Circuits and Implications of Stretching and Sitting Asana on Brain Function -- 1 Introduction -- 2 Methods -- 2.1 Experimental Protocol and Characteristics -- 3 Results -- 3.1 Increased Changes Attributed to Memory and Attention Observed in Practitioners -- 3.2 Statistical Analysis on the Task Scores Shows Homogenous Performance Between the Genders -- 3.3 Statistical Analysis on the Task Scores Shows There is Significant Difference Between the Groups -- 4 Discussion -- 5 Conclusion -- References -- Automation of Answer Scripts Evaluation-A Review -- 1 Introduction -- 2 Related Work -- 3 Challenges -- 4 Conclusion -- References -- Diabetes Mellitus Detection and Diagnosis Using AI Classifier -- 1 Introduction -- 2 Proposed Methodology -- 3 Results and Discussion. , 4 Conclusion -- References -- Review on Unit Selection-Based Concatenation Approach in Text to Speech Synthesis System -- 1 Introduction -- 2 The Process of Speech Production -- 2.1 Basic TTS System -- 3 Different Synthesizer Technologies -- 3.1 Concatenative Synthesis -- 3.2 Unit Selection Synthesis -- 3.3 Unit Selection and Specification Process -- 4 Comparison of Different Synthesis Methods -- 5 Conclusion -- References -- Enhancing the Security of Confidential Data Using Video Steganography -- 1 Introduction -- 2 Steganography and Cryptography -- 2.1 Steganography -- 2.2 Cryptography -- 3 Related Work -- 4 Frame Selection Approach -- 5 Methodology -- 6 Parameter Metrices -- 7 Results and Discussion -- 8 Conclusion -- References -- Data Mining and Analysis of Reddit User Data -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 4 Result and Discussion -- 5 Conclusion -- 6 Future Scope -- References -- Analysis of DNA Sequence Pattern Matching: A Brief Survey -- 1 Introduction -- 2 Literature Review -- 3 Conclusion -- References -- Sensor-Based Analysis of Gait and Assessment of Impacts of Backpack Load on Walking -- 1 Introduction -- 2 Methods -- 2.1 Effect of Backpack on Lower Body -- 3 Results -- 3.1 Measured Gait Variability Across Different Subject Groups Using Froude Analysis -- 3.2 Attribute Selection to Classify Gait -- 3.3 Gender-Based Classification with Respect to Fr Number. -- 3.4 Effect of Backpack Load on Pelvis during Walking to Understand the Gait Pathological Condition -- 4 Discussion -- 5 Conclusion -- References -- Wireless Battery Monitoring System for Electric Vehicle -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 System Block Diagram -- 4.1 Sensors -- 4.2 Wi-Fi Module -- 5 System Flow Chart -- 5.1 Electric Vehicle Battery Specification -- 6 Result -- 7 Software Preparation -- 7.1 Arduino IDE. , 7.2 AVR Studio.