Proceedings of the International Conference on Intelligent Computing, Communication and Information Security

ICICCIS 2022
2023
ISBN: 978-981-99-1372-5
Verlag: Springer Nature Singapore

Buch, Englisch, 468 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 975 g

Reihe: Algorithms for Intelligent Systems

This book contains high quality research papers accepted and presented at the International Conference on Intelligent Computing, Communication and Information Security (ICICCIS 2022), organized by Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India during 25-26, November 2022. It presents the solutions of issues and challenges in intelligent computing, communication and information security domains. This book provides a background to problem domains, considering the progress so far, assessing the potential of such approaches, and exploring possible future directions as a single readily accessible source.

Zielgruppe

Research

Autoren/Hrsg.

Devedzic, Vladan

Gupta, Mukesh Kumar

Agarwal, Basant

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit

Inhaltsverzeichnis

Deep Vision: A Robust Dominant Colour Extraction Framework for T-shirts based on SemanticSegmentation.- Wheel Shaped Defected Ground Structure Microstrip Patch Antenna with High Gain and Bandwidth for Breast Tumor Detection.- IOT based Automated Drip Irrigation and Plant Health Management System.- An Integrated Approach for Pregnancy Detection using Canny Edge Detection and Convolutional Neural Network.- Ontology based Profiling by Hierarchical Cluster Analysis for Forecasting on Patterns of Significant Events.

Über Autor(innen)

Vladan Devedzic is a Professor of Computer Science and Software Engineering at FON – School of Business Administration, University of Belgrade, Serbia. He also used to teach several Computer Science courses at the School of Electrical Engineering, University of Belgrade, as well as at the Military Academy of Serbia (ex Yugoslav Military Academy). Since 2021, he is a Corresponding Member of the Serbian Academy of Sciences and Arts (SASA). His long-term professional objective is to bring close together ideas from the broad fields of Artificial Intelligence / Intelligent Systems and Software Engineering. His current professional and research interests include programming education, software engineering, intelligent software systems and technology-enhanced learning (TEL). He is the founder and the chair of the GOOD OLD AI research network. Vladan Devedzic has authored/co-authored more than 370 research papers, published in international and national journals or presented at international and national conferences, as well as six books on intelligent systems and software engineering. Some of his papers have been selected by foreign editors and published in books on artificial intelligence systems.
Dr. Basant Agarwal is currently working as an Associate Professor at Computer Science and Engineering, Central University of Rajasthan. Dr Basant Agarwal holds a M.Tech. and Ph.D. in Computer Science and Engineering from Malaviya National Institute of Technology (MNIT) Jaipur, India. He has more than 9 years of experience in research and teaching. He has worked as a Postdoc Research Fellow at the Norwegian University of Science and Technology (NTNU), Norway, under the prestigious ERCIM (European Research Consortium for Informatics and Mathematics) fellowship in 2016. He has also worked as a Research Scientist at Temasek Laboratories, National University of Singapore (NUS), Singapore. He has worked on exploring the methods for knowledge extraction from text using deep learning algorithms, Convolutional Neural Network, Recurrent Neural Network etc. He has published more than 60 research papers in reputed conferences and Journals. His research interests include Deep Learning, Natural Language Processing, Machine Learning and Sentiment Analysis.

Mukesh Kumar Gupta is a Professor and Head in the Department of Computer Science & Engineering, at Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, India. Altogether he has 20 years of teaching and research experience. Dr. Gupta has received his Ph.D. in Computer Science & Engineering from Malaviya National Institute of Technology (MNIT), Jaipur, India. He has completed M.Tech in Computer Science and Engineering from Indian Institute of Technology (IIT), Bombay. Dr Gupta is an active member of Board of Studies (BOS), Department Research Committee for Department of Computer Sc. & Engineering, and many other committees at Rajasthan Technical University, Kota. He has authored one book, edited three conference proceedings, and published more than 50 technical papers in the referred journals and conference proceedings.The scope of his current research interests encompasses web application security, machine learning, deep learning and Internet of Things.