Advances in Data and Information Sciences

Proceedings of ICDIS 2021
Herausgegeben:Tiwari, Shailesh; Trivedi, Munesh C.; Kolhe, Mohan Lal; Mishra, K.K.; Singh, Brajesh Kumar

• Broschiertes Buch

Produktbeschreibung

This book gathers a collection of high-quality peer-reviewed research papers presented at the 3rd International Conference on Data and Information Sciences (ICDIS 2021), held at Raja Balwant Singh Engineering Technical Campus, Agra, India, on May 14 - 15, 2021. In chapters written by leading researchers, developers, and practitioner from academia and industry, it covers virtually all aspects of computational sciences and information security, including central topics like artificial intelligence, cloud computing, and big data. Highlighting the latest developments and technical solutions, it will show readers from the computer industry how to capitalize on key advances in next-generation computer and communication technology.

Produktdetails

• Lecture Notes in Networks and Systems 318
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-16-5688-0
• 1st ed. 2022
• Seitenzahl: 772
• Erscheinungstermin: 9. Februar 2022
• Englisch
• Abmessung: 235mm x 155mm x 42mm
• Gewicht: 1147g
• ISBN-13: 9789811656880
• ISBN-10: 9811656886
• Artikelnr.: 62283060

Autorenporträt

Prof. Shailesh Tiwari, Ph.D. currently works as a Director, ABES Engineering College, and Professor in Computer Science & Engineering Department, ABES Engineering College, Ghaziabad, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 80 publications in International Journals and in Proceedings of International Conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer.  He has published 4 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society, Fellow of Institution of Engineers (FIE). Dr. Munesh C. Trivedi currently working as an Associate Professor in Department of CSE, NIT Agartala, Tripura, India. He has published 20 text books and 80 research publications in different International Journals and Proceedings of International Conferences of repute. He has received Young Scientist and numerous awards from different national as well international forum. He has organized several international conferences technically sponsored by IEEE, ACM and Springer. He is on the review panel of IEEE Computer Society, International Journal of Network Security, Pattern Recognition Letter and Computer & Education (Elsevier's Journal). He is Executive Committee Member of IEEE India Council and IEEE Asia Pacific Region 10.  Prof. Mohan L. Kolhe is with the University of Agder (Norway) as full professor in electrical power engineering with focus in smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years' academic experience at international level on electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at the world's prestigious universities e.g. University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc.  Dr. K.K. Mishra is currently working as Assistant Professor, Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, India. His primary area of research includes evolutionary algorithms, optimization techniques and design, and analysis of algorithms. He has also published more than 50 publications in International Journals and in Proceedings of Internal Conferences of repute. He is serving as a program committee member of several conferences and also edited Scopus and SCI-indexed journals. He is also member of reviewer board of Applied Intelligence Journal, Springer.  Prof. Brajesh Kumar Singh is presently working as Professor and Head in Department of Computer Science and Engineering, R.B.S. Engineering Technical Campus, Agra, India with more than 20 years of teaching experience. He completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad (U.P.). His key areas of research are Software Engineering, Software Project Management, Data Mining, Soft Computing and Machine Learning. He has more than 50 publications to his credit in national and international journals and proceedings of high repute with large number of citations of his research manuscripts. Prof. Singh has delivered several invited talks/ key note addresses and chaired sessions in national and international conferences of high repute in India and abroad.

Inhaltsangabe

ITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection.- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan.- Multi-class weather classification: Comparative analysis of Machine learning algorithms.- Deep Learning Based Chatbot Framework ForMental Health Therapy.- Heart Disease Prediction using Core Machine Learning Techniques - A Comparative Study.- Predicting the presence of newt-amphibian using genetic programming.- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model.- Early-Stage Detection of Liver Disease through Machine Learning Algorithms.- Applications of High Dimensional Neural Networks: A Survey.- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis.- DDNA: A Modified Concept to DNA Cryptography.- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents.- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.

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ITSA-KNN: Feature Selection Model Based on Improved Tree-Seed Algorithm and K-Nearest Neighbor for Network Intrusion Detection.- Cost-Effectiveness of Using Tablets for Digital Literacy Training in Tribal Areas of Rajasthan.- Multi-class weather classification: Comparative analysis of Machine learning algorithms.- Deep Learning Based Chatbot Framework ForMental Health Therapy.- Heart Disease Prediction using Core Machine Learning Techniques – A Comparative Study.- Predicting the presence of newt-amphibian using genetic programming.- Prediction of annual Indian Summer Monsoon Rainfall (ISMR) using Parametric Deep learning model.- Early-Stage Detection of Liver Disease through Machine Learning Algorithms.- Applications of High Dimensional Neural Networks: A Survey.- Breast Cancer Classification With Random Forest Classifier With Feature Decomposition Using Principal Component Analysis.- DDNA: A Modified Concept to DNA Cryptography.- A Comprehensive Study of AI-based Steganalysis Techniques on Image and Text Documents.- Image Tampering Forgery Detection using Convolutional Neural Network with Blockchain.