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.