Fourth Congress on Intelligent Systems
CIS 2023, Volume 1
(Sprache: Englisch)
This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society,...
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This book is a collection of selected papers presented at the Fourth Congress on Intelligent Systems (CIS 2023), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4-5, 2023. 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.Inhaltsverzeichnis zu „Fourth Congress on Intelligent Systems “
1. A Simple way to predict Heart Disease using AI.- 2. Automating Dose Prediction in Radiation Treatment Planning using Self-Attention based Dense Generative Adversarial Network.- 3. Track Learning Agent using Multi-Objective Reinforcement Learning.- 4. Performance Assessment of Gaussian Filter Based Image Fusion Algorithm.- 5. A Cognitive Comparative Analysis of Geometric Shape-based Cryptosystem.- 6. A Lesion Feature Engineering Technique based on Gaussian Mixture Model to Detect Cervical Cancer.- 7. Energy Optimization of Electronic Vehicle Using Blockchain Method.- 8. Pattern Recognition: An Outline of Literature Review that Taps into Machine Learning to Achieve Sustainable Development Goals.- 9. Novel Approach for Stock Prediction using Technical Analysis & Sentiment Analysis.- 10. Visualizing and Exploring the Dynamics of Optimization via Circular Swap Mutations in Constraint-Based Problem Spaces.
Autoren-Porträt
Dr. Sandeep Kumar is a professor at CHRIST (Deemed to be University), Bangalore. He recently completed his post-doctoral research at Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia, in sentiment analysis. He is an associate editor for Springer's Human-centric Computing and Information Sciences (HCIS) journal. He has published over a hundred research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited twelve books in the area of computer science. Also, he has been serving as General Chair of the Congress on Intelligent Systems (CIS), the International Conference on Communication and Computational Technologies (ICCCT), the International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET) and the IEEE International Conference on Contemporary Computing and Communications (InC4). His research interests include nature-inspired algorithms, swarm intelligence, soft computing, and computational intelligence.Dr. Balachandran is formerly Professor and Head of CSE at CHRIST (Deemed to be University), Bengaluru, India. He has 38 years of experience in Research, Academia, and Industry. He served as Senior Scientific Officer in the Research and Development Unit of the Department of Atomic Energy for 20 years. His research interest includes Data Mining, Artificial Neural Networks, Soft Computing, and Artificial Intelligence. He has published more than fifty articles in well-known SCI/SCOPUS-indexed international journals and conferences and attended several national and international conferences and workshops. He has authored/edited four books in the area of computer science.
Dr. Jagdish Chand Bansal is an Associate Professor (Senior Grade) at South Asian University New Delhi and a Visiting Faculty at Maths and Computer Science Liverpool Hope University
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UK. He also holdsa visiting professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His Primary area of interest is Swarm Intelligence and Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is the Section Editor (editor-in-chief) of the journal MethodsX published by Elsevier. He is the series editor of the book series Algorithms for Intelligent Systems (AIS), Studies in Autonomic, Data-driven and Industrial Computing (SADIC), and Innovations in Sustainable Technologies and Computing (ISTC) published by Springer. He is also the Associate Editor of Engineering Applications of Artificial Intelligence (EAAI) and ARRAY, published by Elsevier. He is the general secretary of the Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG levels.
Professor Kim, formerly Dean of Engineering College of Korea University, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title "Optimal replacement/rehabilitation model for water distribution systems". Prof. Kim's major areas of interest include Smart Water Management Systems and Micro Water Grid Systems in Smart Cities, Design and Management of Water Distribution Systems, Maintenance and Management Techniques of Urban Drainage Systems, Real-time Management of Urban Water Systems Involving Smart Monitoring, Telemetered Systems, and Sensor Networks, Development of Alarm System against Urban Flood, Development of Optimal Decision Making Systems about Management of Water Supply and Sewage Networks
Professor Kim, formerly Dean of Engineering College of Korea University, obtained his Ph.D. degree from the University of Texas at Austin in 1992 with the thesis title "Optimal replacement/rehabilitation model for water distribution systems". Prof. Kim's major areas of interest include Smart Water Management Systems and Micro Water Grid Systems in Smart Cities, Design and Management of Water Distribution Systems, Maintenance and Management Techniques of Urban Drainage Systems, Real-time Management of Urban Water Systems Involving Smart Monitoring, Telemetered Systems, and Sensor Networks, Development of Alarm System against Urban Flood, Development of Optimal Decision Making Systems about Management of Water Supply and Sewage Networks
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Bibliographische Angaben
- 2024, 2024, XVIII, 476 Seiten, 184 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Sandeep Kumar, Balachandran K., Joong Hoon Kim, Jagdish Chand Bansal
- Verlag: Springer, Berlin
- ISBN-10: 981999036X
- ISBN-13: 9789819990368
Sprache:
Englisch
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