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Springer Data Science And Network Engineering
Springer Data Science And Network Engineering

Springer Data Science And Network Engineering

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Data Science and Network EngineeringProceedings of ICDSNE 2025\nAuthor(s): Suyel Namasudra, Nirmalya Kar, Sarat Kumar Patra, Byung-Gyu Kim\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032077349, 978-3032077349\nSynopsis\nThis book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 1819, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things .

Springer Data Science And Network Engineering

Data Science and Network EngineeringProceedings of ICDSNE 2025\nAuthor(s): Suyel Namasudra, Nirmalya Kar, Sarat Kumar Patra, Byung-Gyu Kim\nFormat: Paperback\nPublisher: Springer Nature Switzerland AG, Switzerland\nImprint: Springer Nature Switzerland AG\nISBN-13: 9783032077349, 978-3032077349\nSynopsis\nThis book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 1819, 2025. It includes research work from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things .

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