Soft Computing: Theories and Applications

Proceedings of SoCTA 2023, Volume 1
2024
ISBN: 978-981-97-2030-9
Verlag: Springer Nature Singapore

Buch, Englisch, Band 970, 426 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 756 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

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

Inhaltsverzeichnis

A Mathematical Approach to Prevent and Control COVID-19 Outbreaks: The Improved M-E Model.- Implementation of Agricultural produce segregation using image processing Algorithm.- Detection of Duplicate Question Pairs by Applying Proposed BoW, TF-IDF & USE Approach.- The Hand Glove Enabling Voice and Text Communication.- Advancing Rheumatoid Arthritis Care: Exploring Technological.- Breakthroughs and Future Directions.- Twitter Trolling Detection Using Machine Learning.- HMHDTML: Human Mental Health Detection using Text and Machine Learning Model.- Analysing the growth profile of Brain tumor with Caputo fractional operator via Sumudu transform.- Multi Labelled Topic Classification of Research Articles Using Machine Learning.- Security in Mobile Ad hoc Networks: Impact of Attacks and Counter-Measure Approaches.- Optimization of vibrational frequencies for orthotropic parallelogram plates with circular variations in tapering at simply supported boundary.- Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers.- Early detection of colorectal cancer from polyps images using deep learning.- Motion control of underactuated cart-double-pendulum system via fractional order sliding mode controller.- A Comparative Study of Pedestrian Detection Techniques over the Last Decade.- Approximation properties of Modified-Bernstein operators having Sz´asz weight functions.- Fourier-Laguerre expansion of signals by composite summable technique.- A Multiple Linear Regression Model to Estimate Global, Direct and Diffuse Irradiance in Gurugram, India using Python.- Supervised Machine Learning Approaches for Customer Reviews Sentiment Analysis.- Stock Price Prediction on Indian Share Market Using Machine Learning.- Transparent Price Forecasting For Basic Food commodities in a Developing Economy.- Parallel Deep Convolution Neural Network (P-DCNN) Prediction of Paddy Crop Disease.- Convolutional-LSTM Network for Emotion Recognition using EEG data in Valence-Arousal dimension.- Analysis of Multiply Accumulate (MAC) Unit Using Convolution Neural Networks (CNN).- Implementing reinforcement learning for tackling smart grid pricing problem.- Teaching Learning Based Optimization Algorithm Approach for Water Management of Canal Command Area of Upper Ganga Canal.- Deep Learning Based Algorithmic Trading Based on News and Events Strategies.- Pothole Detection and Prediction using Deep Learning with Convnet and YOLOv8.- Window Function Dependency on Male and Female Speech Signals for Pitch Extraction at Low SNRs.- Improvised Optical Flow Techniques to Track Vehicle Movements in a Drone Video – Hybrid Approach combining Lucas-Kanade and Horn-Schunck Methods.- Generation of Negative and Positive Association Rules using Modified Algorithm.- A Cutting Edge Algorithm for Interval-Valued Intuitionistic Fuzzy Decision Making Based on Mean, Variance of Alternative Score Matrices and A New Score Function.- Apple Scab Detection using Transfer Learning and Deep Convolutional Network.- Cloud Eye: A Tool to Secure Text, Images and Audios using Steganography.- A Green Inventory Model for New and Revamped Decaying Products with Partially Backlogged and Stock Dependent Demand.- A Machine Learning based approach to Assess and Predict Drought Events: A case of Rajasthan, India.

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 Kumar 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.