Soft Computing: Theories and Applications

Proceedings of SoCTA 2023, Volume 2
2024
ISBN: 978-981-97-2088-0
Verlag: Springer Nature Singapore

Buch, Englisch, Band 971, 475 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 835 g

Reihe: Lecture Notes in Networks and Systems

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. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2023), held at Indian Institute of Information Technology (IIIT) Una, Himachal Pradesh, India, during 21–23 December 2023. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.

Zielgruppe

Research

Autoren/Hrsg.

Kumar, Rajesh

Wadehra, Tanu

Verma, Ajit Kumar

Verma, Om Prakash

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

An extensive review on designing of blood bank management system.- Ensemble Models for vulnerability prediction using code metrics.- Echo State Networks for Cryptography: A Novel Framework for Key Generation and Secure Communication.- Exploration of Coarse-Graining and Threshold Selection of Lempel-Ziv Complexity on Vibroarthrographic Signals.- Image Super Resolution using Extensive Residual Network (ERN) for Orange fruit disease detection.- A Powerful High-Order B-Spline Galerkin Technique for Numerical Solutions of Advection-Diffusion Equation.- Some Explicit Formulas for Changhee-Genocchi Polynomials and Numbers.- Numerical Simulations of Third-Order Singularly Perturbed Boundary Value Problems.- A Study on ?-Analogue Type Of Degenerate Daehee Polynomials And Numbers.- Water Quality Prediction using Machine Learning.- Single Smart Card for Identity and Authentication Using Data Analytics.- Strategic Utilization of ChatGPT in Teaching and Learning.- Particle Based Swarm Fuzzy Optimization Approach in Vague Measurement of the Distance in Transportation Problems.- Design and Implementation of Network Coverage Area in WSN Using Swarm Optimization Techniques.- Divergence Models in Fuzzy Environment and Their Solicitations for the Development of Fuzzy Information Improvement Models.- ViT-ALZ: Vision Transformer with Deep Neural Network for Alzheimer’s Disease Detection.- Edge-ward computational offloading for Smart Waste Management System.- AMPpred-CNN: Prediction of antimicrobial peptide by using 1D convolution neural network and Composition/Transition/Distribution (CTD) encoding.- A hybrid system for detection of Stress using human emotions through voice.- Quasi-opposition based whale optimization applied to Multilevel Image thresholding.- Enhanced Georeferencing by adapting improvised Lens Distortion Correction in Stationary Drone Video Frames.- Feature Selection and Classification to detect Fetal Abnormalities.- Adoption of Blockchain Technologies into Forensic Accounting Practices.- Path Tracking Control of Mobile Manipulator with Skidding and Slipping.- Predicting Stock Market Prices Using a Hybrid of HighOrder Neural Networks and Barnacle Mating Optimization.- Stock Price Prediction Using LSTM & SVM.- Automated Plant disease detection: CNN for corn maize, tomato and potato.- Survey of Deep Learning Models for Image-Based Disease Detection in Plants.- A Comprehensive Review on Technological Advancements in Object Detection Deep Learning Models.- Identification and Classification of PV Array Faults Using Artificial Neural Network.- Ray Based Covid-19 Detection Using Preprocessing Techniques and Deep Learning Algorithms.- Threat or gift to academic: A case study on ChatGPT.- Breaking Barriers: Sign Language to Text Transformation in the Digital Era.- Sarcasm Detection and Classification using Deep Learning Model.- Suspicious Human Activity Detection through Video Analysis and Alert System: A Comprehensive Review.- Hybrid Deep Learning Techniquefor Leaf Disease Detection System.- A Comprehensive Review of Predicting Lifestyle based disease specifically PCOS among Women Using Data Mining and Machine Learning Approaches.- A Modified Honey Badger Algorithm with Logistic Map and Enhanced Exploitation.- Optimal Performance of a quantum Einstein heat engine with ecological function.- Performance Analysis of GIoU Loss Function for Object Tracking.

Über Autor(innen)

Dr. Rajesh Kumar received the Bachelor of Technology in Engineering degree with honors in Electrical Engineering from the Department of Electrical Engineering, National Institute of Technology, Kurukshetra, India, in 1994; Master of Engineering with honors 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 at Department of Electrical Engineering and Adjunct Professor at Centre of Energy and Environment at Malaviya National Institute of Technology, Jaipur, India. He has been Research Fellow (A) at the Department of Electrical and Computer Engineering at National University of Singapore from 2009 to 2011. He has been Reader from 2005 to 2009, Senior Lecturer from 2000 to 2005, and Lecturer from 1995 to 2000 at Department of Electrical Engineering, Malaviya National Institute of Technology. He is Founder of ZINE student innovative group. His background is in the fields of Computational Intelligence, Artificial Intelligence, Intelligent Systems, Power and Energy management, Robotics, Bioinformatics, Smart Grid, and Computer Vision.

Prof. Ajit K. Verma is Professor(Technical Safety), Faculty of Engineering and Natural Sciences(FIN) at the Western Norway University of Applied Sciences, Haugesund, and has been in Norway for the past eleven years. He was Professor/Senior (HAG)-Scale Professor for around 15 years at IIT Bombay with the Reliability Engineering/Department of Electrical Engg. He was Adjunct at the University of Stavanger, Norway, and has been Guest Professor at the Luleå University of Technology for the past several years. He was awarded (2017) an honorary professorship and an Academic Excellence Award at Amity University, India, among others including Adjunctat SCRIL, SAU, Distinguished Professorship in Dehradun, International Professorship at Manipal, India, and also Life Time Achievement Award at IIT Madras by SRESA. He has supervised/co-supervised 39 Ph.Ds. and over 100 master’s theses ( IITB; HVL, Norway; LJMU, UK; WMG, UK, Univ. of Gavle, Sweden) in the area of Electronic Systems Reliability, Software Reliability, Reliable Computing, Power Systems Reliability, Reliability-Centered Maintenance, Soft Computing in RAMS for Complex Engineering Systems, and Probabilistic Safety/Risk Assessment in Process and Power Plants. He has executed various research projects in India to promote industry interface and has been Course Coordinator for industry CEPs like Reliability engineering, Six Sigma, Software Inspections, Competency Tracking System, and Software Reliability for IT industries. He is Series Editor of 5 Springer book series (Asset Analytics; Reliable and Sustainable Electric Power and Energy System Management; Fire Safety Engg. and Management; Risk, Reliability, and Safety Engineering; Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications) and was Editor-in-Chief of two journals, i.e., ‘International Journal of System assurance Engineering and Management’( EIC till 2022, now Patron and Founding EIC); ‘Life Cycle Reliability and Safety Engineering’ ( currently EIC) published by Springer and was EIC of ‘Opsearch’ published by Springer. He is Author/Editor in over a dozen books and a book published by Springer in 2020 in his honor.

Dr. Om Prakash Verma is presently associated with Dr. B R Ambedkar National Institute of Technology Jalandhar, Punjab, India, since January 2018 as 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 PI. He has edited a book on Soft Computing: Theories and Applications and has been Potential Reviewer of several International Journals of high repute. He has published more than 30 research papers in SCI/Scopus/ESI indexed Journals. He has published recently published a paper in Renewable & Sustainable Energy Reviews, (IF: 12.110). He has guided 4 M.Tech. students and supervising 6 Ph.D. students.

Dr. Tanu Wadehra is currently working as Assistant Professor in the School of Electronics at the Indian Institute of Information Technology Una, Una, India, 177209. She has done her Postdoctoral from Indian Institute of Technology, Delhi, Hauz Khas, Delhi, India, during the year 2020-2021 and received her B.Tech. degree in Electronics and Communication from Guru Nanak Engineering College, Ludhiana, India, and M.Tech. degree in Electronics & Communication from Punjabi University, Patiala, India. She has a total of six years of Research Experience with four years at the National Institute of Technology, Jalandhar, Punjab, India. She has one year of Teaching Experience as Assistant Professor at NIT Jalandhar. Based on her contribution to the field of computational healthcare, especially Autism Spectrum Disorder and other disabilities lying on the same spectrum, she is working with the Indian Institute of Technology as Project Engineer in collaboration with AIIMS Delhi. She has experience in publishing work in reputed journals and editing and/or authoring books for good journals. Her research interests include Artificial Intelligence, Assistive Technology, Behavioral modeling, Biomedical signal processing, Cognitive neuroscience, and Machine Learning.