Fourth Congress on Intelligent Systems

CIS 2023, Volume 3
2024
ISBN: 978-981-99-9042-9
Verlag: Springer Nature Singapore

Buch, Englisch, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 749 g

Reihe: Lecture Notes in Networks and Systems

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.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Sandeep

Bansal, Jagdish Chand

K., Balachandran

Kim, Joong Hoon

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. Insights into Age-Related Macular Degeneration Detection: A Comprehensive Review of OCT Image Analysis.- 2. An adaptive detection mechanism for IoT devices anomalies using AI/ML based on user pattern.- 3. Automated Verification of the Correctness of Transitions Between Elements of a Mobile Application Using Source Code Generation Tools.- 4. Mute Mate: An Advanced Lip-Reading Solution for Mute Participants in Virtual Conferences.- 5. An insightful analysis of pre-processing methods used in EEG signals for computer assisted cognitive domain.- 6. Understanding Individual Emotional Responses: Analyzing Variations and Introducing Personal Emotional Bias in Kannada Opinion Data set.- 7. A Survey on Feature Selection, Classification and Optimization Techniques for EEG Based Brain Computer Interface.- 8. Mean Teacher Model with Consistency Regularization for Semi-Supervised Detection of COVID-19 using Cough Recordings.- 9. Multimodal Early Fusion Strategy Based on Deep Learning Methods forCervical Cancer Identification.- 10. Comparing Online and Face-to-Face Training with Employees Perspective.

Über Autor(innen)

Dr. Sandeep Kumar is 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 eighty research papers in various international journals/conferences and attended several national and international conferences and workshops. He has authored/edited seven books in the area of computer science. 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 Visiting Faculty at Maths and Computer Science, Liverpool Hope University UK. He also holds 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 thesistitle “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. His publication includes “A New Heuristic Optimization Algorithm: Harmony Search”, Simulation, February 2001, Vol. 76, pp 60-68, which has been cited over 7,200 times by other journals of diverse research areas.  He has been awarded with National Study Abroad Scholarship, Korean Ministry of Education, 1985.05, Quentin Mees Research Award, Arizona Water and Pollution Control Association 1994.03,Korea Water Resources Association Achievement Award 2005.12, National Emergency Management AgencyAchievement Award 2007.11, Korea Minister of Government Administration and Home Affairs Award 2012.02, KSCE-Springer Award, 2013.12, Songsan Grand Prize (Academic) by KSCE, 2019.10, Order of Science and Technological merit, 2021.04, K-water Grand Academic Prize, 2022.12. He has been the faculty of School of Civil, Environmental and Architectural Engineering at Korea University since 1993 and is now the professor emeritus. He has hosted international conferences including APHW 2013, ICHSA 2014 & 2015, HIC 2016, HIC 2018, ICHSA 2019, ICHSA 2020, and ICHSA 2022, and has given keynote speeches at many international conferences including AOGS 2013, GCIS 2013, SocPros 2014 & 2015, SWGIC 2017, RTORS 2017, ICHSA 2020, ICCIS 2020, and FSACE 2021. He is a member of National Academy of Engineering of Korea since 2017.