Shulph Ink
Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021
Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021
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- More about Proceedings of the International Conference on Big Data, IoT, and Machine Learning: BIM 2021
This book summarizes peer-reviewed research papers presented at the International Conference on Big Data, IoT, and Machine Learning (BIM 2021), covering big data, IoT, and machine learning. It is a valuable resource for researchers and practitioners in the field.
Format: Paperback / softback
Length: 801 pages
Publication date: 05 December 2022
Publisher: Springer Verlag, Singapore
This comprehensive book presents a meticulously curated collection of high-quality peer-reviewed research papers that were presented at the esteemed International Conference on Big Data, IoT, and Machine Learning (BIM 2021), which took place in the picturesque coastal town of Coxs Bazar, Bangladesh, from September 23 to 25, 2021. Spanning a wide range of topics within the domains of big data, IoT, and machine learning, this publication serves as a valuable resource for both active researchers and practitioners in these fields.
The book's chapters are organized into thematic sections, allowing readers to delve into specific areas of interest. Each paper is carefully reviewed by experts in the respective field, ensuring the utmost quality and relevance of the research presented.
The topics covered in this book are diverse and cutting-edge, reflecting the latest advancements and innovations in the field. From big data analytics and machine learning algorithms to IoT-enabled smart systems and their applications, the book offers a comprehensive overview of the current state-of-the-art research.
The authors of these research papers come from various academic institutions and research centers worldwide, contributing their expertise and insights to the collective body of knowledge. The book will be particularly useful for students, researchers, and professionals seeking to stay updated with the latest developments in big data, IoT, and machine learning.
In conclusion, this book is a testament to the remarkable contributions made by researchers and practitioners in the field of big data, IoT, and machine learning. It serves as a valuable resource for anyone seeking to expand their knowledge and understanding of these rapidly evolving technologies. By presenting a diverse range of research papers, the book fosters collaboration and encourages further exploration in this exciting domain.
Weight: 1246g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811666384
Edition number: 1st ed. 2022
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