Proceedings of International Conference on Computational Intelligence and Data Engineering (eBook, PDF)

ICCIDE 2021
Redaktion: Chaki, Nabendu; Seetha, Hari; Cortesi, Agostino; Devarakonda, Nagaraju

• Format: PDF

Produktbeschreibung

This book covers various topics, including collective intelligence, intelligent transportation systems, fuzzy systems, Bayesian network, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing. This book is a collection of high-quality research work on cutting-edge technologies and the most-happening areas of computational intelligence and data engineering. It includes selected papers from the International Conference on Computational Intelligence and Data Engineering (ICCIDE 2021).

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 472
• Erscheinungstermin: 28. Februar 2022
• Englisch
• ISBN-13: 9789811671821
• Artikelnr.: 63525147

Autorenporträt

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, Italy. He served as a dean of the Computer Science studies, as department chair, and as vice-rector for quality assessment. Currently, he holds the position of head of the Ph.D. program in Computer Science. His main research interests concern programming languages theory, software engineering, and static analysis techniques, with particular emphasis on security applications. He has held the position of visiting professor at several universities and research centers, including University of Illinois, Ecole Normale Supérieure Paris, Ecole Polytechnique Palaiseau, IBM T.J.Watson Research Center, and University of Calcutta. He published more than 150 papers in high-level international journals and proceedings of international conferences. His h-index is 20 according to Scopus and 28 according to Google Scholar. He serves as co-editor in Chief of the book series "Services and Business Process Reengineering" edited by Springer Nature.  At the Ca' Foscari University, Agostino holds the chairs of "Software Engineering," "Software Correctness, Security and Reliability," "Computer Networks and Information Systems" and "Data Programming."   Hari Seetha obtained her Master's degree from National Institute of Technology (formerly R. E. C.)Warangal and obtained Ph.D from School of Computer Science and Engineering, V.I.T University.. She worked on Large Data Classification during her Ph.D. She has research interests in the fields of pattern recognition, data mining, text mining, soft computing, and machine learning. She received Best paper award for the paper entitled "On improving the generalization of SVM Classifier" in Fifth International Conference on Information Processing held at Bangalore. She has published a few research papers in national and international journals and conferences. She has been one of the editors for the Edited Volume on "Modern Technologies for Bigdata Classification andClustering" published by IGI Global in 2017. She is a member of editorial board for various International Journals. Three of her students submitted their Ph.D thesis. She is presently guiding four Ph.D students. She is listed in the 2014 edition of Who's who in the world published by Marquis Who's Who, as the biographical reference representing the world's most accomplished individuals. She had been a co-investigator to a major research project sponsored by the Department of Science and Technology, Government of India. She served as a division chair for Software Systems division and Program Chair for B.Tech (CSE) program, in the School of Computer Science and Engineering at VIT University, Vellore, India, as well as an assistant director(Ranking and Accreditation) at VIT University, Vellore. She is currently working as a professor and dean for the School of Computer Science and Engineering at VIT-AP, Amravati, India.

Inhaltsangabe

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.