| ISBN13: | 9781032737393 |
| ISBN10: | 1032737395 |
| Binding: | Hardback |
| No. of pages: | 581 pages |
| Size: | 246x174 mm |
| Language: | English |
| 700 |
Library and information science in general
Electrical engineering and telecommunications, precision engineering
Energy industry
Theory of computing, computing in general
Mathematical Theory of computing
Operating systems and graphical user interfaces
Software development
Computer Graphics Softwares
Artificial Intelligence
Programming in general
Internet services (online shopping, banking)
Library and information science in general (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Energy industry (charity campaign)
Theory of computing, computing in general (charity campaign)
Mathematical Theory of computing (charity campaign)
Operating systems and graphical user interfaces (charity campaign)
Software development (charity campaign)
Computer Graphics Softwares (charity campaign)
Artificial Intelligence (charity campaign)
Programming in general (charity campaign)
Internet services (online shopping, banking) (charity campaign)
Data Science & Exploration in Artificial Intelligence
GBP 125.00
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The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications. It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing and Networks.
The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications.
It covers a wide array of topics including advanced Data Science, IoT, Security, Cloud Computing, Networks, Security, Image, Video and Signal Processing, Computational Biology, Computer and Information Technology. It highlights innovative research contributions and practical applications, offering readers a detailed understanding of current trends and challenges. The findings emphasize the role of global collaboration and interdisciplinary approaches in pushing the boundaries of AI and data science. Selected papers published by Taylor and Francis showcase pioneering work that is shaping the future of these fields.
This is an ideal read for AI and data science researchers, industry professionals, and students seeking to stay updated on the latest advancements and ethical considerations in these areas.
2. Industrial Application
3. IoT, Security, Cloud Computing, Networks