Intro -- Preface -- Contents -- Peer-Review Statements -- Unsupervised Context Distillation from Weakly Supervised Data to Augment Video Question -- Public Perception of Myocarditis and Pericarditis Risk after Covid-19 Vaccination -- Fuzzy C-Means Approach Optimized using Raindrop Algorithm for Image Segmentation -- Shape Based Classification and Segmentation Of 3D Point Clouds using Deep Learning -- A Novel Optimized Variant of Machine Learning Algorithm for Accurate Energy Demand Prediction for Tetouan City, Morocco -- Improving the Efficiency of Object Grasp Detection on Embedded Platforms Using the AOGNet Neural Network Architecture -- Happiness Index Prediction of Students Using Machine Learning -- Enhancing AI Model for Fault Detection in Rail Through the Evaluation of AE Parameters with Proper Weighting Approach: A Comprehensive Study -- A COMPARATIVE STUDY ON AUTHENTICATION VULNERABILITIES AND SECURITY ISSUES IN WEARABLE DEVICES -- Prediction of Chronic Kidney Disease using Machine Learning Techniques -- Enhancing MCI Detection with a Hybrid Machine Learning Approach -- Revolutionizing Digital Ownership: Examining the Perks of a Polkadot- Based NFT Marketplace -- Comparative Analysis of Machine Learning Algorithms for Cervical Cancer Prediction -- Deep Learning - Based Forecasting of Task Failures in Cloud Data Centers -- A Frame Work Designing for Deep Fake Motion Detection using Deep Learning in Video Surveillance Systems -- A Design of Highly-Secured Map Chaotic Encryption Scheme for VANET Communication -- Quantum Cryptography Analysis for Secure Data Communication in Multi-Core Environment -- An Automatic Rice Grain Classification for Agricultural Products Marketing -- Smart IoT-Enabled pH Strip Reader for Simple and Accurate Analysis of Cervical Mucous pH.

Developing a Credible and Trustworthy E-Commerce Application using Blockchain and Machine Learning -- Multistage Encryption of Mammogram Images Using Fractional Fourier Transform and 3D Chaotic Map -- Visual Profiling and Automated Classification of Malware Samples using Deep Learning. -- A new approach for efficient clustering usingfuzzy prototypes with varying neighborhoods -- Ensemble Machine Learning to Predict and Feature Engineering to Identify Factors for Academic-Success -- Ensemble Machine Learning to Predict and Feature Engineering to Identify Factors for Academic-Success -- Parallelization of Content aware Image Resizing -- A Deep CNN-Based Approach Felicia Proposed for Identifying Medicinal and Edible Plants in the Western Ghats Region -- Experience-based learning for multi-parameter regression control of snake-like robots -- Optimizing Technical Parameters and Stock Price Prediction using: Linear Regressive MapReduce and Quasi-Newton Deep Learning -- Tri Bird Technique for Effective Face Recognition Using Deep Convolutional Neural Network -- Assessing the Performance of ZigBee RF Protocol using Path loss models for IoT Application -- Image Caption Generator -- Detection of Epileptic Seizures from Logistic Model Trees -- An Empirical Comparative Study of Machine Learning Algorithms for Telugu News Classification.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.