Machine Intelligence and Emerging Technologies : First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I /

The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23-25, 2022. The 104 papers presented in...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Satu, Md. Shahriare (Editor), Moni, Mohammad Ali (Editor), Kaiser, M. Shamim (Editor), Arefin, Mohammad Shamsul (Editor)
Format: eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 490
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23-25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Physical Description:1 online resource (XXXI, 571 pages 362 illustrations, 201 illustrations in color.)
ISBN:9783031346194
ISSN:1867-822X ;
DOI:10.1007/978-3-031-34619-4