Proceedings of the 2nd International Conference on Big Data, IoT and Machine Learning [electronic resource] : BIM 2023 / edited by Mohammad Shamsul Arefin, M. Shamim Kaiser, Touhid Bhuiyan, Nilanjan Dey, Mufti Mahmud.
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TextSeries: Lecture Notes in Networks and Systems ; 867Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XL, 1058 p. 607 illus., 486 illus. in color. online resourceContent type: - text
- computer
- online resource
- 9789819989379
- TK5105.8857
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Springer Nature eBookSummary: This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.
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This book gathers a collection of high-quality peer-reviewed research papers presented at the International Conference on Big Data, IoT and Machine Learning (BIM 2023), organised by Jahangirnagar University, Bangladesh, and Daffodil International University, Bangladesh, held in Dhaka, Bangladesh, during 6–8 September 2023. The book covers research papers in the field of big data, IoT and machine learning. The book is helpful for active researchers and practitioners in the field.
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