Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development

Sam Goundar, Archana Purwar, Ajmer Singh, Sam Goundar, Archana Purwar, Ajmer Singh

• Editore: CRC Press
• Anno: 2022
• ISBN:
  9781000652536
• Edizione: 1
• Argomento: Informatica
• Categoria: Data mining

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 deeper understanding of several perspectives regarding the dynamics, challenges, and opportunities for sustainable development using artificial intelligence, big data and IoT. Applications of Artificial Intelligence, Big Data and Internet of Things (IoT) in Sustainable Development focuses on IT-based advancements in multidisciplinary fields such as healthcare, finance, bioinformatics, industrial automation, and environmental science. The authors discuss the key issues of security, management, and the realization of possible solutions to hurdles in sustainable development. The reader will master basic concepts and deep insights of various algorithms and models for various applications such as healthcare, finance, education, smart cities, smart cars, among others. Finally, the book will also examine the applications and implementation of big data IoT, AI strategies to facilitate the sustainable development goals set by the United Nations by 2030. This book is intended to help researchers, academics, and policymakers to analyze the challenges and future aspects for maintaining sustainable development through IoT, big data, and AI.

Indice dei contenuti

• 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