Inventive systems and control : proceedings of ICISC 2022 / V. Suma, Zubair Baig, Selvanayaki Kolandapalayam Shanmugam, Pascal Lorenz, editors.
2022
TA168 .I58 2022eb
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Title
Inventive systems and control : proceedings of ICISC 2022 / V. Suma, Zubair Baig, Selvanayaki Kolandapalayam Shanmugam, Pascal Lorenz, editors.
Meeting Name
International Conference on Inventive Systems and Control (6th : 2022 : Coimbatore, India)
ISBN
9789811910128 (electronic bk.)
981191012X (electronic bk.)
9811910111
9789811910111
981191012X (electronic bk.)
9811910111
9789811910111
Publication Details
Singapore : Springer, 2022.
Language
English
Description
1 online resource.
Item Number
10.1007/978-981-19-1012-8 doi
Call Number
TA168 .I58 2022eb
Dewey Decimal Classification
620.001/171
Summary
This book presents selected papers from the 6th International Conference on Inventive Systems and Control (ICISC 2022), held on 67 January 2022 at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2022 includes an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there is no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2022 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.
Note
Includes author index.
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Access limited to authorized users.
Series
Lecture notes in networks and systems ; v. 436.
Available in Other Form
Print version: 9789811910111
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Table of Contents
Wind Turbine Alarm Management with Artificial Neural Networks
Convolutional Neural Networks as a Quality Control in 4.0 Industry for Screws and Nuts
Proposal of an Efficient Encryption Algorithm for Securing Communicated Information
Discernment of Unsolicited Internet Spamdexing using Graph Theory
Unique Authentication System in End-To-End Encrypted Chat Application.
Convolutional Neural Networks as a Quality Control in 4.0 Industry for Screws and Nuts
Proposal of an Efficient Encryption Algorithm for Securing Communicated Information
Discernment of Unsolicited Internet Spamdexing using Graph Theory
Unique Authentication System in End-To-End Encrypted Chat Application.