Industry 4.0, Ai, and Data Science: Research Trends and Challenges

ISBN-13: 9780367562854 / Angielski / Twarda / 2021 / 262 str.

Vikram Bali; Kakoli Banerjee; Narendra Kumar

Opis

Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.

Spis treści

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.