Biologically Inspired Techniques in Many Criteria Decision Making

Cloud-based Smart Grids: Opportunities and Challenges.- A Resource Aware Load Balancing Strategy for Real-Time, Cross-Vertical IoT Applications.- An Elitist Artificial - electric - field - algorithm - based Artificial Neural Network for Financial Time Series Forecasting.- COVID - 19 Severity Predictions: An Analysis Using Correlation Measures.- Antenna Array Optimization For Side Lobe Level: A Brief Review.- Accuracy Analysis for Predicting Heart Attacks Based on Various Machine Learning Algorithms.- Link Recommendation for Social In uence Maximization.- Performance Analysis of State-of-the art Classifiers and Stack Ensemble Model for Liver Disease Diagnosis.- CryptedWe: An end-to-encryption with fake news detection messaging system.- Enabling Data Security in Electronic Voting System using Blockchain.- Prediction of Used Car Prices Using Machine Learning.- Complexity Classification of Object-oriented Projects Based on Class Model Information Using Quasi-opposition Rao Algorithm Based Neural Networks.- Mood Based Movie Recommendation System.

Satchidananda Dehuri is working as Professor in the Department of Information and Communication Technology, Fakir Mohan University, Balasore, Odisha, India, since 2013. He received his M.Tech. and Ph.D. degrees in Computer Science from Utkal University, Vani Vihar, Odisha, in 2001 and 2006, respectively. He visited as BOYSCAST Fellow to the Soft Computing Laboratory, Yonsei University, Seoul, South Korea, under the BOYSCAST Fellowship Program of DST, Govt. of India, in 2008. In 2010, he received Young Scientist Award in Engineering and Technology for the year 2008 from Odisha Vigyan Academy, Department of Science and Technology, Govt. of Odisha. His research interests include evolutionary computation, neural networks, pattern recognition, and data mining. He has already published more than 200 research papers in reputed journals and referred conferences and has published five text books for undergraduate and post-graduate students and edited more than ten books of contemporary relevance. Under his direct supervision, 17 Ph.D. scholars have been successfully awarded. His h-index (Google Scholar) is more than 25. Bhabani Shankar Prasad Mishra born in Talcher, Odisha, India, in 1981. He received the B.Tech. in Computer Science and Engineering from Biju Pattanaik Technical University, Odisha in 2003,  M.Tech. degree in Computer Science and Engineering from the KIIT University, in 2005,  Ph.D. degree in Computer Science from F. M. University, Balasore, Odisha, India, in 2011, and Post-Doc in 2013 from Soft Computing Laboratory, Yonsei University, South Korea. Currently he is working as Associate Professor at School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. His research interest includes pattern reorganization, data mining, soft computing, big data, and machine learning. He has published more than 80 research articles in reputed journal and conferences and has edited more than five books of currentimportance. Under his guidance,