Third Congress on Intelligent Systems : proceedings of CIS 2022. Volume 1 / Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal, editors.
Congress on Intelligent Systems (3rd : 2022 : Bangalore, India).; Kumar, Sandeep, editor.; Sharma, Harish, editor.; Balachandran, K., editor.; Kim, Joong Hoon, editor.; Bansal, Jagdish Chand, editor.
2023
Q334
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Title Third Congress on Intelligent Systems : proceedings of CIS 2022. Volume 1 / Sandeep Kumar, Harish Sharma, K. Balachandran, Joong Hoon Kim, Jagdish Chand Bansal, editors.
Meeting Name Congress on Intelligent Systems (3rd : 2022 : Bangalore, India).
ISBN 9789811992254 (electronic bk.)
9811992258 (electronic bk.)
981199224X
9789811992247
DOI https://doi.org/10.1007/978-981-19-9225-4
Published Singapore : Springer, [2023]
Copyright ©2023
Language English
Description 1 online resource (xxv, 843 pages) : illustrations (chiefly color).
Item Number 10.1007/978-981-19-9225-4 doi
Call Number Q334
Dewey Decimal Classification 006.3
Summary This book is a collection of selected papers presented at the Third Congress on Intelligent Systems (CIS 2022), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 56, 2022. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers topics such as the Internet of Things, information security, embedded systems, real-time systems, cloud computing, big data analysis, quantum computing, automation systems, bio-inspired intelligence, cognitive systems, cyber-physical systems, data analytics, data/web mining, data science, intelligence for security, intelligent decision-making systems, intelligent information processing, intelligent transportation, artificial intelligence for machine vision, imaging sensors technology, image segmentation, convolutional neural network, image/video classification, soft computing for machine vision, pattern recognition, human-computer interaction, robotic devices and systems, autonomous vehicles, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised learning, unsupervised learning, fuzzy logic, rough sets, computational optimization, and neuro-fuzzy systems.
Note Selected conference proceedings.
Includes author index.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Kumar, Sandeep, editor.
Sharma, Harish, editor.
Balachandran, K., editor.
Kim, Joong Hoon, editor.
Bansal, Jagdish Chand, editor.
Series Lecture notes in networks and systems ; v. 608.
Available in Other Form THIRD CONGRESS ON INTELLIGENT SYSTEMS.
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Record Appears in Online Resources > Ebooks
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Chapter 1. Design and Analysis of Genetic Algorithm Optimization based ANFIS Controller for Interleaved DC-DC Converter fed PEMFC System
Chapter 2. A Digital Transformation Model for Intelligent Organizational Systems: Key Constructs for successful DT
Chapter 3. Smart Sewage Monitoring Systems
Chapter 4. Explainable Stacking Machine Learning Ensemble for Predicting Airline Customer Satisfaction
Chapter 5. A Water Cycle Algorithm for Optimal Design of IIR Filters
Chapter 6. Comparative Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection
Chapter 7. Future Commercial Prospects of Unmanned Aerial Vehicles (UAVs)
Chapter 8. Experimental Analysis of Deep Learning algorithms used in Brain Tumor Classification
Chapter 9. Optimized Grabcut Algorithm in Medical Image Analyses
Chapter 10. Improvement of Speech Emotion Recognition by Deep Convolutional Neural Network and Speech Features
Chapter 11. GABC Genetic Artificial Bee Colony for Mapping Onto Network on Chip
Chapter 12. A Study of Machine Translation Models for Kannada - Tulu
Chapter 13. Multi-Technology Gateway Management for IoT: Review, Analysis and Open Issues
Chapter 14. BGR Images based Human Fall detection using resnet-50 and lstm
Chapter 15. Presaging Cancer Stage Classification by extracting influential features from Breast/Lung/Prostate cancer clinical datasets based on TNM model.

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