Proceedings of International Conference on Computational Intelligence and Data Engineering

Genetic Algorithm based vaccine optimization technique to control COVID-19.- Ethereum MongoDB: Integrating Blockchain with Non-Relational Databases.- Attention based Discrimination of Mycoplasma Pneumonia.- Minimum Weight Dominating Set using Chemical Reaction Optimization Algorithm.- A Hybrid Domain Fragile Watermarking Techniques for Authentication of Color Images.- IOT based Carbon Monoxide Monitoring Model for Transportation Vehicles.- TWEERIFY:  A Web based Sentiment Analysis System using Rule and Deep Learning Techniques.- Machine Learning Based Fake News Detection on Covid-19 Tweets Data.- ADVERSE EFFECT OF ELECTROMAGNETICFREQUENCY ON HUMAN BEING HEALTH UNDER REAL LIFE SCENARIO: A COMPARATIVE STUDY.

Nabendu Chaki is a professor in the Department Computer Science and Engineering, University of Calcutta, Kolkata, India. He is the editor in chief of the Springer Nature book series on Services and Business Process Reengineering. Besides editing about 40 conference proceedings with Springer, Dr. Chaki has authored eight text and research books with CRC Press, Springer Nature, etc. He has published more than 200 Scopus Indexed research articles in Journals and International conferences. Prof. Chaki has served as a visiting professor in different places including US Naval Postgraduate School, California, and in different universities in Italy and Poland. He is the founder chair of ACM Professional Chapter in Kolkata and served in that capacity for three years since January 2014. He has been active during 2009-2015 toward developing several international standards in Software Engineering and Service Science as a Global (GD) member for ISO-IEC. NagarajuDevarakonda received his B.Tech. from Sri Venkateswara University, M.Tech. from Jawaharlal Nehru University (JNU), New Delhi, and Ph.D. from Jawaharlal Nehru Technological University, Hyderabad. He has published over 75 research papers in international conferences and journals. He is the co-editor of Proceedings of ICCIDE 2017 and 2018, 2020. The proceedings were published in Lecture Notes on Data Engineering and Communication Technologies of SPRINGER. He published papers in ICCI*CC 2017 at OXFORD UNIVERSITY, UK, and ICCI*CC 2018 at UNIVERSITY OF CALIFORNIA, BERKELEY, USA. He is currently working as an associate professor in the School of Computer Science and Engineering at VIT-AP University and has 17 years of experience in teaching. His research areas are data mining, soft computing, machine learning, and pattern recognition. He has supervised 25 M.Tech. students, guided 2 Ph.D.s, and currently guiding 9 Ph.D.s. Agostino Cortesi, PhD., is a full professorof Computer Science at Ca' Foscari University, Venice,