Industry 4.0, AI, and Data Science

Industry 4.0, AI, and Data Science

Research Trends and Challenges

Chawla, Sunil Kumar; Kumar, Narendra; Banerjee, Kakoli; Bali, Vikram; Gour, Sanjay

Taylor & Francis Ltd

07/2021

262

Dura

Inglês

9780367562854

15 a 20 dias

521

Descrição não disponível.
1. Predicting Fraudulent Motor Vehicle Insurance Claims Using Data Mining Model. 2. Novel 8:1 Multiplexer for Low Power and Area Efficient Design in Industry 4.0. 3. Data Science and AI for E-Governance: A Step towards Society 5.0. 4. Application Areas of Data Science and AI for Improved Society 5.0 Era. 5. Applying Machine-Learning and Internet of Things in Healthcare. 6. Artificial Intelligence: The New Expert in Medical Treatment. 7. Machine Learning Approach for Breast Cancer Early Diagnosis. 8. Intelligent Surveillance System Using Machine Learning. 9. Cyber Security: An Approach to Secure IoT from Cyber Attacks Using Deep Learning. 10. Learning the Dynamic Change of User Interests from Noise Web Data. 11. Artificial Intelligence Techniques Based Routing Protocols in Vanets: A Review. 12. A Comparison of Different Consensus Protocols: The Backbone of the Blockchain Technology. 13. Blockchain in AI: Review of Decentralized Smart System. 14. Financial Portfolio Optimization: An AI Based Decision Making Approach. 15. Intelligent Framework and Metrics for Assessment of Smart Cities.
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Data Informatics;Cost Modeling;Deep Learning;Data Stream Mining;Data Fusion;Artificial Intelligence;Urban Heat Islands;IoT Device;Local Binary Pattern;Byzantine Fault Tolerance;SVM;Power Consumption;IoT Application;Blockchain Technology;Random Forest;Supervised Machine Learning;Ai Application;IoT System;Sharpe Ratio;Smart City;Text Notification;Consensus Algorithm;PTL;Data Set;CMOS Logic;Web Page Category;Deep Reinforcement Learning;Routing Protocols;LBPH.;Transmission Gate