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Soft Computing: Theories and Applications: Proceedings of SoCTA 2024, Volume 2 [Pehme köide]

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  • Formaat: Paperback / softback, 531 pages, kõrgus x laius: 235x155 mm, 174 Illustrations, color; 19 Illustrations, black and white; XI, 531 p. 193 illus., 174 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1343
  • Ilmumisaeg: 16-Sep-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 981965954X
  • ISBN-13: 9789819659548
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  • Formaat: Paperback / softback, 531 pages, kõrgus x laius: 235x155 mm, 174 Illustrations, color; 19 Illustrations, black and white; XI, 531 p. 193 illus., 174 illus. in color., 1 Paperback / softback
  • Sari: Lecture Notes in Networks and Systems 1343
  • Ilmumisaeg: 16-Sep-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 981965954X
  • ISBN-13: 9789819659548

The book is a collection of high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2024), held at Malaviya National Institute of Technology (MNIT) Jaipur, Rajasthan, India, during 27 – 29 December 2024. ?This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing, and cryptanalysis. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.

Chapter 1 :A Comprehensive Study Exploring Probabilistic Fully
Degenerate Bell Polynomials Linked to Random Variables.-Chapter 2 :Artificial
Neural Network based Prediction of the Atmospheric attenuation and Scattering
Coefficient at 1550 nm for Optical Wireless System in Foggy
Atmosphere.-Chapter 3 :Early Detection of Alzheimers Using Customised
Lightweight 3D CNN Architecture.-Chapter 4 :Optimizing Fraud Detection by
Integrating Ensemble Methods and Neural Networks.-Chapter 5 :Bus Arrival Time
Prediction with LSTM Networks and CTGAN-Augmented Data.-Chapter 6 :A Hybrid
Improved Particle swarm optimization and Genetic algorithm for energy
efficient task offloading in Industrial IoT.-Chapter 7 :Sign Spotting for
Indian Sign Language.-Chapter 8 :A Crowdsourced Localization and Deep
Learning-based Visual Fingerprint Update Algorithm of Smart Internet of
Vehicles (IoV).-Chapter 9 :Dropout and its role in Neural Networking.-Chapter
10 :An adaptive Statistical Sugeno-Takagi Fuzzy Logic System For
Damage.-Chapter 11 :Identification In Structural Elements.-Chapter 12
:E-Commerce Fake Review Detection using Natural Language Processing.-Chapter
13 :A Novel Deep Learning Framework with Global Attention Mechanism for
Enhanced Heart Disease Detection and Prediction.-Chapter 14 :Multivariate
Data Analysis to Classify Blood Donors Utilizing Supervised Learning
Models.-Chapter 15 :Type 2 Diabetes Detection Using a Bio-Inspired Machine
Learning Approach.-Chapter 16:Deep Learning Neural Network-Based Evaluation
of Neuroimages for Alzheimer's Disease Diagnosis
.-Chapter 17 :Machine Learning-Based Analysis and Detection of Autism
Spectrum Disorder.-Chapter 18 :Smart Traffic Control System Leveraging YOLOv8
and OCR for Improved Urban Mobility
3902619266.
Rajesh Kumar received the Bachelor of Technology in Engineering degree with honours in Electrical Engineering from the Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India in 1994, Master of Engineering with honours in Power Engineering from the Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, India in 1997 and Ph.D. degree in Intelligent Systems from Department of Electrical Engineering, Malaviya National Institute of Technology (MREC, University of Rajasthan), India in 2005. He is currently Professor of Artificial Intelligence at Department of Human Anatomy and Physiology, Faculty of Health Sciences, University of Johannesburg, South Africa and Professor at Department of Electrical Engineering at Malaviya National Institute of Technology, Jaipur, India. His background is in the fields of Computational Intelligence, Artificial Intelligence, Intelligent Systems, Robotics and Healthcare.



Ajit Kumar Verma is a Professor (Technical Safety), Western Norway University of Applied Sciences, Haugesund, and has been in Norway since 2012. He was a Professor /Senior (HAG) scale Professor for around 15 years at IIT Bombay with the Reliability Engineering/Department of Electrical Engg. He was an adjunct at the University of Stavanger, Norway and has been a Guest Professor at the Luleå University of Technology for the past several years. He was awarded (2017) Honorary Professor at Amity University, India and also a Life Time Achievement awards at IIT Madras by SRESA and also recently at Kurukshetra University in 2024. He has supervised/co-supervised 40 PhDs and over 100 Masters theses( IIT Bombay, India; HVL, Norway; Univ. of Gåvle, Sweden; LJM Univ, UK; WMG, Warwick Univ, UK) in the area of Electronic Systems Reliability, Software Reliability, Power Systems Reliability, Soft Computing in RAMS for Complex Engineering Systems and Probabilistic Safety/Risk Assessment in power plants and Computational Intelligence Applications in multiple domains. He has executed various research projects in India to promote industry interface and has been course co-ordinator for industry CEPs like Reliability engineering, Six Sigma, Software Inspections, Competency Tracking System and Software Reliability for IT industries. He has jointly edited a dozen books published by Springer and has jointly authored 8 books. He has over 250 publications in various journals and conferences. Springer has published a book in 2020 to honour him for his research contributions. He has served as a Guest Editor of over a dozen Special Issues of various journals including IEEE Transactions besides being the patron and founding editor/editor in chief in various journals. He has been a Patron/General Chair/ Conference Chair of various International Conferences.



Om Prakash Verma is presently associated with Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India since January 2018 as an Assistant Professor in the Department of Instrumentation and Control Engineering. He has almost 11 years of teaching experience. He did his Ph.D. from IIT Roorkee, M. Tech. from Dr. B R Ambedkar NIT Jalandhar and B.E. from Dr. B R Ambedkar University Agra. He is presently working on ISRO Sponsored Project as a PI. He has published more than 30 research papers in SCI/Scopus/ESI indexed Journals. He has recently published a paper in Renewable & Sustainable Energy Reviews, (IF: 12.110). He has guided 4 M. Tech. students and supervising 6 PhD Students.



Jitendra Rajpurohit, a PhD in Nature Inspired Computing has over 15 years of experience in academics and research. He has been associated with many reputed institutions in the past. Currently, he is serving as an Associate Professor at Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune. He has published more than 30 research articles in indexed journals and reputed conferences.