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"This book focuses on different algorithms and models related to AI, big data, and IoT used for various domains. It enables the reader to have a broader and deep understanding of several perspectives, about the dynamics, challenges, and opportunities regarding sustainable development using artificial intelligence, big data, and IoT"--

"This book focuses on different algorithms and models related to AI, big data, and IoT used for various domains. It enables the reader to have a broader and deep understanding of several perspectives, about the dynamics, challenges, and opportunities regarding sustainable development using artificial intelligence, big data, and IoT"--

"This book focuses on different algorithms and models related to AI, big data, and IoT used for various domains. It enables the reader to have a broader and deep understanding of several perspectives, about the dynamics, challenges, and opportunities regarding sustainable development using artificial intelligence, big data, and IoT"--

Cover -- Half Title -- Title -- Copyright -- Contents -- Editors -- Contributors -- Chapter 1 Introduction -- Chapter 2 Artificial Intelligence for Sustainable Pedagogical Development -- Chapter 3 Deep Learning in Computer Vision: Progress and Threats -- Chapter 4 Smart Parking System Using YOLOv3 Deep Learning Model -- Chapter 5 Enhancing Speaker Diarization for Audio-Only Systems Using Deep Learning -- Chapter 6 Food Image Recognition Using CNN, Faster R-CNN and YOLO -- Chapter 7 Machine Learning/Deep Learning for Natural Disasters -- Chapter 8 A Recent Survey on LSTM Techniques for Time-Series Data Forecasting Present State and Future Directions -- Chapter 9 Conflicting Statements Detection Using Bi-Directional LSTM -- Chapter 10 Big Data and Deep Learning in Healthcare -- Chapter 11 Pattern Recognition in EMG Control of Bionic Hands -- Chapter 12 Application of IoT in the Food Processing Industry -- Chapter 13 Emerging Technologies for Healthcare during the COVID-19 Pandemic -- Chapter 14 Two-Layered Security Mechanism for Enhanced Biometric Security of IoT-Based Digital Wallet -- Chapter 15 Fused Deep Learning for Distributed Denial of Service Attack Detection in IoT -- Chapter 16 Analyzing the Suitability of Deep Learning Algorithms in Edge Computing -- Chapter 17 Effectiveness of Machine and Deep Learning for Blockchain Technology in Fraud Detection and Prevention -- Chapter 18 Advancements in Quantum-PSO and Its Application in Sustainable Development -- Index.