Soft Computing for Problem Solving

Chapter 1. Benchmarking state-of-the-art methodologies for optic disc segmentation.- Chapter 2. Automated Student Emotion Analysis During Online Classes using Convolutional Neural Network.- Chapter 3. Transfer Learning based Malware Classification.- Chapter 4. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification.- Chapter 5. A Fast and Efficient Methods for Eye pre-processing and DR Level Detection.- Chapter 6. A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal.- Chapter 7. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach.- Chapter 8. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture.- Chapter 9. Medical Prescription Label Reading using Computer Vision and Deep Learning.- Chapter 10. Autoencoder-based Deep Neural Architecture for Epileptic Seizures Classification.- Chapter 11. Stock Market Prediction using Deep Learning Techniques for Short and Long Horizon.- Chapter 12. Improved CNN Model for Breast Cancer Classification.- Chapter 13. Performance Assessment of Normalization in CNN with Retinal Image Segmentation.- Chapter 14. A novel multi-day ahead index price forecast using multi-output based deep learning system.- Chapter 15. Automatic Retinal Vessel Segmentation using BTLBO. etc.

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