Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022). Volume 1 / Harish Sharma, Apu Kumar Saha, Mukesh Prasad, editors.
2023
TA1634 .I58 2022eb
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Title
Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022). Volume 1 / Harish Sharma, Apu Kumar Saha, Mukesh Prasad, editors.
Meeting Name
International Conference on Intelligent Vision and Computing (2nd : 2022 : Agartala, India)
ISBN
9783031311642 (electronic bk.)
3031311647 (electronic bk.)
9783031311635
3031311647 (electronic bk.)
9783031311635
Published
Cham, Switzerland : Springer, 2023.
Language
English
Description
1 online resource (xi, 633 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-31164-2 doi
Call Number
TA1634 .I58 2022eb
Dewey Decimal Classification
006.3/7
Summary
The conference proceedings book is a collection of high-quality research articles in the field of intelligent vision and computing. It also serves as a forum for researchers and practitioners from both academia and industry to meet and share their expertise and experience. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research contributions and views, on one forum and interact with members inside and outside their own particular disciplines.
Note
Includes author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 2, 2023).
Added Author
Sharma, Harish, editor.
Saha, Apu Kumar, editor.
Prasad, Mukesh (Lecturer in Computer science), editor.
Saha, Apu Kumar, editor.
Prasad, Mukesh (Lecturer in Computer science), editor.
Series
Proceedings in adaptation, learning and optimization ; v. 17. 2363-6092
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Table of Contents
Test Pattern Modification to Minimize Test Power in Sequential Circuit
A social network approach for improving job performance by promoting colleague intimacy
Deep Learning Model for automated Image based Plant Disease Classification
Opinion-based Machine Learning Approach for Fake News Classification
Survey on IoMT: Amalgamation of Technologies-Wearable Body Sensor Network, Wearable Biosensors, ML and DL in IoMT.
A social network approach for improving job performance by promoting colleague intimacy
Deep Learning Model for automated Image based Plant Disease Classification
Opinion-based Machine Learning Approach for Fake News Classification
Survey on IoMT: Amalgamation of Technologies-Wearable Body Sensor Network, Wearable Biosensors, ML and DL in IoMT.