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.

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Yes, you can access Applications of Artificial Intelligence, Big Data and Internet of Things in Sustainable Development by Sam Goundar, Archana Purwar, Ajmer Singh, Sam Goundar,Archana Purwar,Ajmer Singh in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Computer Science

Subtopic

Computer Science General

Index

Computer Science

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

About this book

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Table of contents