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Industry 4.0, AI, and Data Science: Research Trends and Challenges by Bali: New

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N.º de artículo de eBay:403307342801
Última actualización el 19 may 2025 20:22:51 H.EspVer todas las actualizacionesVer todas las actualizaciones

Características del artículo

Estado
Nuevo: Libro nuevo, sin usar y sin leer, que está en perfecto estado; incluye todas las páginas sin ...
Book Title
Industry 4.0, AI, and Data Science: Research Trends and Challenge
Publication Date
2021-07-01
Pages
262
ISBN
9780367562854

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Product Identifiers

Publisher
CRC Press LLC
ISBN-10
0367562855
ISBN-13
9780367562854
eBay Product ID (ePID)
10050070554

Product Key Features

Number of Pages
262 Pages
Language
English
Publication Name
Industry 4. 0, Ai, and Data Science : Research Trends and Challenges
Subject
Operations Research, General, Manufacturing, Databases / Data Mining
Publication Year
2021
Type
Textbook
Author
Kakoli Banerjee
Subject Area
Computers, Technology & Engineering, Business & Economics
Series
Demystifying Technologies for Computational Excellence Ser.
Format
Hardcover

Dimensions

Item Weight
18.5 Oz
Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
College Audience
LCCN
2021-004328
Illustrated
Yes
Table Of Content
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.
Synopsis
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., 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.
LC Classification Number
T59.6.I34 2021

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