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Soft Computing for Problem Solving

Proceedings of the SocProS 2022

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Manoj Thakur

    1. School of Mathematical and Statistical Sciences, Indian Institute of Technology Mandi, Mandi, India

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  2. Samar Agnihotri

    1. School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India

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  3. Bharat Singh Rajpurohit

    1. School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India

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  4. Millie Pant

    1. Department of Applied Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

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  5. Kusum Deep

    1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

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  6. Atulya K. Nagar

    1. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

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  • Presents research works in the field of soft computing
  • Provides original works presented at SocProS 2022 held in Mandi, India
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 547)

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xxii
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  2. Benchmarking State-of-the-Art Methodologies for Optic Disc Segmentation

    • Subham Kumar, Sundaresan Raman
    Pages 1-12

  3. Automated Student Emotion Analysis During Online Classes Using Convolutional Neural Network

    • Sourish Mukherjee, Bait Yash Suhakar, Samhitha Kamma, Snehitha Barukula, Purab Agarwal, Priyanka Singh
    Pages 13-22

  4. Transfer Learning-Based Malware Classification

    • Anikash Chakraborty, Sanjay Kumar
    Pages 23-34

  5. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification

    • Dhruv Gupta, K. K. Shukla
    Pages 35-44

  6. A Fast and Efficient Methods for Eye Pre-processing and DR Level Detection

    • Shivendra Singh, Ashutosh D. Bagde, Shital Telrandhe, Roshan Umate, Aniket Pathade, Mayur Wanjari
    Pages 45-53

  7. A Deep Neural Model CNN-LSTM Network for Automated Sleep Staging Based on a Single-Channel EEG Signal

    • Santosh Kumar Satapathy, Khelan Shah, Shrey Shah, Bhavya Shah, Ashay Panchal
    Pages 55-71

  8. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach

    • Saikat Chakraborty, Sruti Sambhavi, Prashansa Panda, Anup Nandy
    Pages 73-83

  9. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture

    • Anish Sharma, Rajeev Kumar
    Pages 85-95

  10. Medical Prescription Label Reading Using Computer Vision and Deep Learning

    • Alan Henry, R. Sujee
    Pages 97-108

  11. Autoencoder-Based Deep Neural Architecture for Epileptic Seizures Classification

    • Monalisha Mahapatra, Tariq Arshad Barbhuiya, Anup Nandy
    Pages 109-119

  12. Stock Market Prediction Using Deep Learning Techniques for Short and Long Horizon

    • Aryan Bhambu
    Pages 121-135

  13. Improved CNN Model for Breast Cancer Classification

    • P. Satya Shekar Varma, Sushil Kumar
    Pages 137-157

  14. Performance Assessment of Normalization in CNN with Retinal Image Segmentation

    • Junaciya Kundalakkaadan, Akhilesh Rawat, Rajeev Kumar
    Pages 159-170

  15. A Novel Multi-day Ahead Index Price Forecast Using Multi-output-Based Deep Learning System

    • Debashis Sahoo, Kartik Sahoo, Pravat Kumar Jena
    Pages 171-187

  16. Automatic Retinal Vessel Segmentation Using BTLBO

    • Chilukamari Rajesh, Sushil Kumar
    Pages 189-200

  17. Exploring the Relationship Between Learning Rate, Batch Size, and Epochs in Deep Learning: An Experimental Study

    • Sadaf Shafi, Assif Assad
    Pages 201-209

  18. Encoder–Decoder (LSTM-LSTM) Network-Based Prediction Model for Trend Forecasting in Currency Market

    • Komal Kumar, Hement Kumar, Pratishtha Wadhwa
    Pages 211-223

  19. Histopathological Nuclei Segmentation Using Spatial Kernelized Fuzzy Clustering Approach

    • Rudrajit Choudhuri, Amiya Halder
    Pages 225-238

  20. Tree Detection from Urban Developed Areas in High-Resolution Satellite Images

    • Pankaj Pratap Singh, Rahul Dev Garg, Shitala Prasad
    Pages 239-247
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Keywords

About this book

This book provides an insight into the 11th International Conference on Soft Computing for Problem Solving (SocProS 2022). This international conference is a joint technical collaboration of the Soft Computing Research Society and the Indian Institute of Technology Mandi. This book presents the latest achievements and innovations in the interdisciplinary areas of Soft Computing, Machine Learning, and Data Science. It brings together the researchers, engineers, and practitioners to discuss thought-provoking developments and challenges, in order to select potential future directions. It covers original research papers in the areas including but not limited to algorithms (artificial neural network, deep learning, statistical methods, genetic algorithm, and particle swarm optimization) and applications (data mining and clustering, computer vision, medical and healthcare, finance, data envelopment analysis, business, and forecasting applications). This book is beneficial for young as well as experienced researchers dealing across complex and intricate real-world problems for which finding a solution by traditional methods is a difficult task.

Editors and Affiliations

  • School of Mathematical and Statistical Sciences, Indian Institute of Technology Mandi, Mandi, India

    Manoj Thakur

  • School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India

    Samar Agnihotri, Bharat Singh Rajpurohit

  • Department of Applied Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  • Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  • School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

About the editors

Dr. Manoj Thakur is Associate Professor at the School of Basic Sciences, Indian Institute of Technology Mandi, Mandi, India. His research interests include optimization, machine learning, and computational finance.

 

Dr. Samar Agnihotri received the M.Sc. (Engg.) and Ph.D. degrees in electrical sciences from IISc Bangalore. From 2010 to 2012, he was Postdoctoral Fellow with the Department of Information Engineering, the Chinese University of Hong Kong. He is currently Associate Professor with the School of Computing and Electrical Engineering, IIT Mandi. His research interests include communication and information theory.

 

Dr. Bharat Singh Rajpurohit received the M.Tech. degree in power apparatus and electric drives from the Indian Institute of Technology Roorkee, Roorkee, India, in 2005 and the Ph.D. degree in electrical engineering from the Indian Institute of Technology Kanpur, Kanpur, India, in 2010. He is currently Professor with the School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, India. His major research interests include electric drives, renewable energy integration, and intelligent and energy-efficient buildings. He is Member of the International Society for Technology in Education, the Institution of Engineers, India, and the Institution of Electronics and Telecommunication Engineers.

 

Dr. Millie Pant is Professor at the Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee (IIT Roorkee) in India. Her areas of interests include numerical optimization, operations research, decision-making techniques, and artificial intelligence.

 

Dr. Kusum Deep is Professor at the Department of Mathematics, Indian Institute of Technology Roorkee. Her research interests include numerical optimization, nature-inspired optimization, computational intelligence, genetic algorithms, parallel genetic algorithms, and parallel particle swarm optimization. 

 

Prof. Atulya K. Nagar holds Foundation Chair as Professor of Mathematical Sciences and is Pro-Vice-Chancellor (Research) at Liverpool Hope University, UK. He is responsible for developing Sciences and Engineering and has been the Head of the School of Mathematics, Computer Science, and Engineering which he established at the university. He received a prestigious Commonwealth Fellowship for pursuing his doctorate (D.Phil.) in Applied Nonlinear Mathematics, which he earned from the University of York (UK) in 1996. He holds B.Sc. (Hons), M.Sc., and M.Phil. (with distinction) in Mathematical Physics from the MDS University of Ajmer, India. Prior to joining Liverpool Hope, he was with the Brunel University, London. He is an internationally respected scholar working at the cutting edge of nonlinear mathematics, theoretical computer science, and systems engineering. He has edited volumes on intelligent systems andapplied mathematics. He is well published with over 450 publications in prestigious publishing outlets. He has an extensive background and experience of working in universities in the UK and India. He has been an expert reviewer for the Biotechnology and Biological Sciences Research Council (BBSRC) grants peer-review committees for Bioinformatics Panel; Engineering and Physical Sciences Research Council (EPSRC) for High Performance Computing Panel; and served on the Peer-Review College of the Arts and Humanities Research Council (AHRC) as Scientific Expert member. Prof. Nagar sits on the JISC Research Strategy group, and he is Fellow of the Institute of Mathematics and its applications (FIMA) and Fellow of the Higher Education Academy (FHEA).

Bibliographic Information

  • Book Title: Soft Computing for Problem Solving

  • Book Subtitle: Proceedings of the SocProS 2022

  • Editors: Manoj Thakur, Samar Agnihotri, Bharat Singh Rajpurohit, Millie Pant, Kusum Deep, Atulya K. Nagar

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-981-19-6525-8

  • Publisher: Springer Singapore

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023

  • Softcover ISBN: 978-981-19-6524-1Published: 02 March 2023

  • eBook ISBN: 978-981-19-6525-8Published: 01 March 2023

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XXII, 733

  • Number of Illustrations: 40 b/w illustrations, 197 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Algorithms

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