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Information Management and Machine Intelligence: Proceedings of ICIMMI 2019
Information Management and Machine Intelligence: Proceedings of ICIMMI 2019
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- More about Information Management and Machine Intelligence: Proceedings of ICIMMI 2019
This book presents selected papers from the International Conference on Information Management and Machine Intelligence (ICIMMI 2019), covering topics such as data analytics, AI, machine learning, information management, and more.
Format: Paperback / softback
Length: 677 pages
Publication date: 18 September 2021
Publisher: Springer Verlag, Singapore
This book is a compilation of selected papers presented at the International Conference on Information Management and Machine Intelligence (ICIMMI 2019), which took place at the Poornima Institute of Engineering & Technology in Jaipur, Rajasthan, India, from December 14 to 15, 2019. The conference covered a wide range of topics, including data analytics, artificial intelligence (AI), machine and deep learning, information management, security, processing techniques, and interpretation. It also explored the applications of AI in soft computing and pattern recognition, cloud-based applications for machine learning, the use of IoT in power distribution systems, wireless sensor networks, and adaptive wireless communication.
The papers presented at ICIMMI 2019 showcased the latest research and developments in these fields, drawing experts and researchers from around the world. The conference aimed to foster collaboration and exchange of ideas between academia, industry, and government, promoting the growth of information management and machine intelligence.
The book is organized into five sections, each covering a specific aspect of the conference. The first section provides an overview of the conference and its objectives. The second section focuses on data analytics, including techniques for data mining, machine learning, and big data processing. The third section explores AI, including its applications in various domains such as healthcare, finance, and transportation. The fourth section examines machine and deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. The fifth section discusses information management, security, and processing techniques, as well as their applications in various industries.
Each paper in the book is thoroughly reviewed and edited by experts in the field, ensuring that the content is up-to-date and relevant. The book also includes an introduction that provides a background on the conference and its significance, as well as a conclusion that summarizes the key findings and recommendations of the conference.
Overall, this book is a valuable resource for researchers, practitioners, and students interested in information management and machine intelligence. It provides a comprehensive overview of the latest trends and developments in these fields and serves as a platform for promoting interdisciplinary research and collaboration.
Weight: 1050g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811549380
Edition number: 1st ed. 2021
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