Soft Computing for Problem Solving

1. Front Matter

   Pages i-xv

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2. A Deep Semi-supervised Approach for Multi-label Land-Cover Classification Under Scarcity of Labelled Images

   • Shounak Chakraborty, Nilesh Agarwal, Moumita Roy

   Pages 1-12

3. Role of Individual Samples in Modified Possibilistic c-Means Classifier for Handling Heterogeneity Within Mustard Crop

   • Mragank Singhal, Ashish Payal, Anil Kumar

   Pages 13-25

4. Specially Structured Flow Shop Scheduling Models with Processing Times as Trapezoidal Fuzzy Numbers to Optimize Waiting Time of Jobs

   • Bharat Goyal, Sandeep Kaur

   Pages 27-42

5. Potential Fishing Zone Characterization in the Indian Ocean by Machine Learning Approach

   • Swarnali Majumder, Sourav Maity, T. M. Balakrishnan Nair, Rose P. Bright, M. Nagaraja Kumar, Naga Shwetha et al.

   Pages 43-54

6. A Novel Method to Optimize Interval Length for Intuitionistic Fuzzy Time Series

   • Manish Pant, A. K. Shukla, Sanjay Kumar

   Pages 55-62

7. Low-Altitude Unmanned Aerial Vehicle for Real-Time Greenhouse Plant Disease Monitoring Using Convolutional Neural Network

   • C. S. Arvind, K. Prajwal, Amrut C. Patil, A. Ashwin Kumar, A. Sreedevi, R. Jyothi

   Pages 63-76

8. Design and Development of an IoT-Based Smart Medication Device

   • D. Ramesh Reddy, K. Bikash, K. P. Vivek, U. Z. Sadek, P. Kodali

   Pages 77-88

9. Effects of SARS-COV-2 on Blood

   • Indu Malik, Nipun R. Navadia, Aatif Jamshed, Lalita Verma, Taranjeet Singh, Harshit Bhardwaj

   Pages 89-100

10. Covid-19: Machine Learning Algorithms to Predict Mortality Rate for Advance Testing and Treatment

    • Nipun R. Navadia, Gurleen Kaur, Indu Malik, Lalita Verma, Taranjeet Singh, Harshit Bhardwaj

    Pages 101-107

11. Personality Prediction Using EEG Signals and Machine Learning Algorithms

    • Harshit Bhardwaj, Pradeep Tomar, Aditi Sakalle, Divya Acharya, Arpit Bhardwaj

    Pages 109-114

12. A Comparative Study of Various Apriori and FP-Growth Tree-Based Incremental Mining Methods

    • Shelly Gupta, Lopamudra Mohanty

    Pages 115-125

13. Emotion Analysis on Hindi Audio

    • Aniket Anand, Harsh Choudhary, R. Jayashree

    Pages 127-139

14. Temporal Analysis of Human Serum Albumin with Recurrent Neural Networks for Changepoint Detection and Prediction

    • R. D. Harshitha, Jayanth Jeevanandam, Natarajan Sudha, N. T. Saraswathi

    Pages 141-152

15. Modeling of Discrete Jaya Optimized Frequency Controller for Renewable-Based Interconnected Power System

    • Subhranshu Sekhar Pati, Saroj Kumar Mishra

    Pages 153-162

16. Grey Wolf Optimizer for Data Envelopment Analysis

    • Awadh Pratap Singh, Ashish Kumar Dixit

    Pages 163-172

17. A Model Based on Fuzzy C-Means with Density Peak Clustering for Seismicity Analysis of Earthquake Prone Regions

    • Ashish Sharma, Satyasai Jagannath Nanda, Rahul Kumar Vijay

    Pages 173-185

18. Memetic Flower Pollination Algorithm-Based Radiation Pattern in Time-Modulated Linear Antenna Arrays

    • Gopi Ram, D. Suneel Varma, G. Arun Kumar

    Pages 187-196

19. Multi-objective Adaptive Antenna Synthesis Using Teaching Learning Based Optimization

    • D. Suneel Varma, Gopi Ram, G. Arun Kumar, Pranthik Dutta

    Pages 197-210

20. A Secure Data Transfer in Cloud Environment Using Double-Layer Security for Internet of Medical Things

    • C. Vanmathi, R. Mangayarkarasi, V. Hari Haran, S. Karthikeyan

    Pages 211-229

This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research Society and Indian Institute of Technology Indore. The book presents the latest achievements and innovations in the interdisciplinary areas of soft computing. 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 immune system, artificial neural network, genetic algorithm, genetic programming and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). The book will be 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.

• Soft Computing
• Computational Intelligence
• Swarm Intelligence
• Evolutionary Computation
• Artificial Neural Network
• Fuzzy Logic

• Computer Science and Engineering, Indian Institute of Technology Indore, Indore, India

  Aruna Tiwari, Kapil Ahuja

• Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India

  Anupam Yadav

• Department of Mathematics, South Asian University, New Delhi, India

  Jagdish Chand Bansal

• 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

Dr. Aruna Tiwari is Associate Professor in Computer Science & Engineering at IIT Indore, India.  Her all degrees B.Tech., M.Tech., Ph.D. are in Computer Science & Engineering from SGSITS Indore. She has more than 20 years of research experience in the areas such as artificial intelligence, machine learning, and soft-computing. Her work is around artificial neural networks, fuzzy clustering, evolutionary computation and their applications to bioinformatics, and medical diagnosis. Her research directions are toward the design of intelligent computing algorithms for classification, clustering, and feature selection which can handle big data. She has more than 30 journal publications of international repute including more than 5 IEEE transactions and Elsevier journals of high impact factor and has published more than fifty research articles in the ranked conferences.  She has established a big data handling lab in IIT Indore which is funded by Council of Science & IndustrialResearch (CSIR) Government of India in 2017.  She has enabled two MOUs, collaborating with Indian Institute of Soybean Research, Indore, and CSIR-Central Electronics Engineering Research Institute, Pilani.  She has recently initiated a consortium project on Artificial Intelligence which is approved from Ministry of Electronics & Information Technology (MeitY) Government of India. There are seven PhDs and more than 25 masters awarded under her guidance.
 
Dr. Kapil Ahuja holds master’s and Ph.D. degrees in Mathematics and Computer Science (from Virginia Tech, USA) and has a strong interdisciplinary focus. After graduating earlier this decade from VT, he received his postdoctoral training from the Max Planck Institute in Magdeburg (Germany). Since then, he has established his independent research program in Mathematics of Data Science and Computational Science at IIT Indore, where he is currently working as Associate Professor. Dr. Ahuja is solving challenging problems that are at both the ends of the research spectrum, i.e., theoretical as well as applicable. His core research interests are in artificial intelligence, machine learning, numerical methods, and optimization. He believes that it is necessary to collaborate globally to solve challenging research problems. Hence, he has multiple active international research collaborations (USA, Germany, India, France, and UK). In the recent past, he has also held visiting professor positions at TU Braunschweig (Germany), TU Dresden (Germany), and Sandia National Labs (USA). Dr. Ahuja's overall research output includes thirty publications (including eighteen in reputed journals) as well as external funding worth more than half-a-million USD from twelve projects. While achieving this, he has graduated two Ph.D. students with three more to graduate soon. Since teaching and service are essential for a fruitful and satisfying research career, he is very committed to these aspects as well. Dr. Ahuja has received the Best Teacher Award four times at IIT Indore. In the past, he has held many administrative positions. Since the past three years, he is heading International Affairs at IIT Indore as Founding Dean for the same.
 
Dr. Anupam Yadav is Assistant Professor in the Department of Mathematics at Dr. BR Ambedkar National Institute of Technology Jalandhar, India. His research area includes numerical optimization, soft computing, and artificial intelligence, he has more than ten years of research experience in the areas of soft computing and optimization. Dr. Yadav has done Ph.D. in soft computing from Indian Institute of Technology Roorkee, and he worked as Research Professor at Korea University. He has published more than twenty-five research articles in journals of international repute and has published more than fifteen research articles in conference proceedings. Dr. Yadav has authored a text book entitled “An introduction to neural network methods for differential equations”. He has edited three books which are published by AISC, Springer Series. Dr. Yadav was General Chair, Convener, and Member of steering committee of several international conferences. He is Associate Editor in the journal of the experimental and theoretical artificial intelligence. Dr. Yadav is Member of various research societies.
 
Dr. Jagdish Chand Bansal is Associate Professor at South Asian University, New Delhi, and Visiting Faculty at Maths and Computer Science, Liverpool Hope University, UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU, New Delhi, he has worked as 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 from engineering domain. He has published more than 60 research papers in various international journals/conferences. He is Series Editor of the book series such as Algorithms for Intelligent Systems (AIS) and Studies in Autonomic, Data-driven and Industrial Computing (SADIC) published by Springer. He is Editor-in-Chief of International Journal of Swarm Intelligence (IJSI) published by Inderscience. He is also Associate Editor of IEEE ACESSS published by IEEE and ARRAY published by Elsevier. He is Steering Committee Member and General Chair of the annual conference series SocProS. He is General Secretary of Soft Computing Research Society (SCRS). He has also received Gold Medal at UG and PG level. 
Prof. Kusum Deep is Full Professor in the Department of Mathematics, Indian Institute of Technology Roorkee, India, and Visiting Professor, Liverpool Hope University, UK, and University of Technology Sydney, Australia. She has completed her B.Sc. (Hons) and M.Sc. (Hons) from Centre for Advanced Studies, Panjab University, Chandigarh. She is an M.Phil. Gold Medalist. She earned her Ph.D. from UoR (now IIT Roorkee) in 1988. She has been a national scholarship holder and a postdoctoral from Loughborough University, UK assisted by International Bursary funded by Commission of European Communities, Brussels. She has won numerous awards like Khosla Research Award, UGC Career Award Starred Performer of IITR Faculty, many best paper awards by Railway Bulletin of Indian Railways, special facilitation in memory of late Professor M. C. Puri, and AIAP Excellence Award. She has authored two books, supervised 20 Ph.Ds, and published 125 research papers. She is Senior Member of IEEE, ORSI, CSI, IMS, and ISIM. She is Executive Editor of International Journal of Swarm Intelligence, Inderscience. She is Associate Editor of Swarm and Evolutionary Algorithms, Elsevier. She is on the editorial board of many journals. She is FounderPresident of Soft Computing Research Society, India. She is General Chair of series of International Conference on Soft Computing for Problems Solving (SocProS). Her research interests are evolutionary algorithms, swarm Iitelligence, and nature-inspired optimization techniques and their applications.
 
Prof. Atulya K. Nagar holds Foundation Chair as Professor of Mathematical Sciences and is Pro-Vice-Chancellor for Research at Liverpool Hope University, United Kingdom. He has been Dean of the Faculty of Science and 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. (Mathematics), and M.Phil. (with distinction) in Mathematical Physics from the MDS University of Ajmer, India. Prior to joining LiverpoolHope, he was at the Department of Mathematical Sciences and later at the Department of Systems Engineering, at Brunel University, London. He is internationally respected Scholar working at the cutting edge of theoretical computer science, applied mathematical analysis, and systems engineering with his research expertise spanning both applied mathematics and computational methods for nonlinear, complex, and intractable problems arising in science, engineering, and industry. He has edited volumes on Intelligent System, and Applied Mathematics. He is Editor-in-Chief of the International Journal of Artificial Intelligence and Soft Computing (IJAISC) and serves on editorial boards for a number of prestigious journals. He is well published with over 450 publications in prestigious publishing outlets. Professor Nagar sits on a number of strategic UK wide research bodies including the JISC Research Strategy group, and he is Fellow of the Institute of Mathematics and its Applications (FIMA) andFellow of the Higher Education Academy (FHEA).

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