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

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

Goundar, Sam; Singh, Ajmer; Purwar, Archana

Taylor & Francis Ltd

11/2024

350

Mole

9781032157320

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
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.
Machine Learning in Sustainable Development;Integrated Approaches for Sustainable Development;Technologies for Sustainable Development;Developments in IoT, AI and Big Data;Futuristic Challenges;Innovative Technologies;Big Data in Sustainable Development;Sustainable Development Challenges;AI in Sustainable Developments;IoT in Sustainable Development;Deep Learning Algorithms;Deep Learning Model;RNN;Support Vector Machine;Machine Learning;IoT Device;Dl;Deep Learning Methods;IoT System;Blockchain Technology;CNN Architecture;Big Data;Deep Learning Technique;Random Forest;PSO;DNN Model;Cloud Computing;Machine Learning Model;DNN;Supervised Machine Learning;DBN;Landslide Susceptibility;Edge Computing;BBO;EMG Signal