Industry 4.0, AI, and Data Science : Research Trends and Challenges (Demystifying Technologies for Computational Excellence)

個数：

Industry 4.0, AI, and Data Science : Research Trends and Challenges (Demystifying Technologies for Computational Excellence)

Bali, Vikram (EDT)/ Banerjee, Kakoli (EDT)/ Kumar, Narendra (EDT)

ウェブストア価格 ¥13,175（本体¥11,978）
CRC Press（2024/10発売）
外貨定価 US$ 64.99
ポイント 119pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 262 p.
言語 ENG
商品コード 9780367562915
DDC分類 658.4038

Full Description

The aim of this book is to provide insight into Data Science and Artificial Learning Techniques based on Industry 4.0, conveys how Machine Learning & Data Science are becoming an essential part of industrial and academic research. 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.

Along with focusing on the research trends, challenges and future of AI in Data Science, the book explores the potential for integration of advanced AI algorithms, addresses the challenges of Data Science for Industry 4.0, covers different security issues, includes qualitative and quantitative research, and offers case studies with working models. This book also provides an overview of AI and Data Science algorithms for readers who do not have a strong mathematical background.

Undergraduates, postgraduates, academicians, researchers, and industry professionals will benefit from this book and use it as a guide.

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.