- ホーム
- > 洋書
- > 英文書
- > Computer / Databases
Full Description
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.
Contents
1. Introduction. 2. Artificial Intelligence for Sustainable Pedagogical Development. 3. Deep Learning in Computer Vision: Progress and Threats. 4. Smart Parking System UsingYOLOv3 Deep learning Model. 5. Enhancing Speaker Diarization for Audio-only Systems using Deep Learning. 6. Food Image Recognition using CNN, Faster R-CNN & YOLO. 7. Machine learning /deep learning for Natural disasters. 8. A Recent Survey on LSTM Techniques for Time-Series Data forecasting: Present State and Future Directions. 9. Conflicting Statements Detection Using Bi-Directional LSTM. 10. Big Data and Deep learning in Health Care. 11. Pattern recognition in EMG control of Bionic Hands. 12. Application of IoT in Food Processing Industry. 13. Emerging Technologies for Healthcare during the COVID-19 Pandemic. 14. Two Layered Security Mechanism for Enhanced Biometric Security of IoT Based Digital Wallet. 15. Fused Deep Learning for Distributed Denial of Service Attack Detection In IoT. 16. Analyzing the Suitability of Deep Learning Algorithms in Edge Computing. 17. Effectiveness of Machine and Deep Learning for BlockChain Technology in Fraud Detection and Prevention. 18. Advancements in Quantum-PSO and its Application in Sustainable Development.
