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Intelligent Computing and Applications

Proceedings of ICDIC 2020

  • Conference proceedings
  • © 2023

Overview

  • Presents research works in the field of data sciences
  • Results of ICDIC 2020 held in Sree Vidyanikethan Engineering College, Tirupati, India
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 315)

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Table of contents (46 papers)

Keywords

About this book

This book presents novel work of academicians, researchers, industry professionals, practitioners, and budding engineers to disseminate the most recent innovations, trends, and concerns along with the present-day challenges and the solving approaches for implementation in the domains of data science, intelligent computing, and computer networks and security. It is a collection of selected high-quality research papers from the International Conference on Data Science, Intelligent Computing and Cyber Security (ICDIC 2020) organized by Sree Vidyanikethan Engineering College, Tirupati, India, during 27–29 February 2020. It discusses the latest challenges and solutions in the field of data innovation, data management, data analysis, data security, and intelligent methods and applications.

Editors and Affiliations

  • Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, Tirupati, India

    B. Narendra Kumar Rao

  • Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    R. Balasubramanian

  • Department of Information Management, Central Police University, Taoyuan, Taiwan

    Shiuh-Jeng Wang

  • School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia

    Richi Nayak

About the editors

Dr. B .Narendra Kumar Rao is currently Professor and Head of the Department of Computer Science and Engineering at Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India. He published and authored in reputed journals and books to his credit. He is part of Intelligent Computing Research Centre at Sree Vidyanikethan Engineering College, Tirupati. His areas of research include Software Engineering and Deep Learning.




Professor R. Balasubramanian is currently with the Department of Computer Science and Engineering, Indian Institute of Technology, Roorkee, India. His areas of interest include computer vision, image processing, machine learning and other allied areas. Being an active researcher he is part of several reputed research labs such as SeSaMe Research centre, National University of Singapore, SINGAPORE, School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinag, Malaysia, Faculty of Computing and Informatics, Multimedia University, Cyberjaya Campus, Malaysia, and Department of Computer Science, University at Albany-State University of New York (SUNY), NY, USA. So far, he has published more than 130 international journals, 125 conference proceedings, 7 book chapters and a technical report. He is the recipient of BOYSCAST fellowship (awarded by DST, India). He is also the recipient of "Outstanding Teacher Award 2010" awarded by IIT Roorkee.




Professor Shiuh-Jeng WANG is currently with the Dept. of Information Management at Central Police University, Taoyuan, Taiwan, where he directs the Information Cryptology and Construction Laboratory (ICCL). He was a recipient of the 5th Acer Long-Tung Master Thesis Award and the 10th Acer Long-Tung Ph.D. Dissertation Award in 1991 and 1996, respectively. He served the editor-in-chief of the journal of Communications of the CCISA in Taiwan from 2000 to 2006. He authored eight books: Information Security, Cryptography and Network Security, State of the Art on Internet Security and Digital Forensics, Eyes of Privacy–Information Security and Computer Forensics, Information Multimedia Security, Computer Forensics and Digital Evidence, Computer Forensics and Security Systems, and Computer and Network Security in Practice, published in 2003, 2004, 2006, 2007, and 2009, respectively.




Associate Professor Richi Nayak is with the School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, Australia. She is Head of the Data Science Discipline in EECS. She is an internationally recognised expert in data mining, text mining, and web intelligence. She has combined knowledge in these areas very successfully with diverse disciplines such as Social Science, Science, and Engineering for technology transfer to real-world problems to change their practices and methodologies. Her particular research interests aremachine learning, and in recent years, she has concentrated her work on text mining, personalization, automation, and social network analysis. She has published high-quality conference and journal articles and highly cited in her research field. She has received a number of awards and nominations for teaching, research, and service activities.

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