Modern Practices and Trends in Expert Applications and Security

Proceedings of Mp-Teas 2024, Volume 1
Herausgegeben:Rathore, Vijay Singh; Devedzic, Vladan; Saha, Sriparna; KHAN, Nikhat Raza

• Broschiertes Buch

Produktbeschreibung

This book is a collection of best selected research papers presented at the International Conference on Modern Practices and Trends in Expert Applications and Security (MP-TEAS 2024). This book contains articles on current trends of machine learning, internet of things, and smart cities applications emphasizing on multi-disciplinary research in the areas of artificial intelligence and cyber physical systems. The book is a great resource for scientists, research scholars, and PG students to formulate their research ideas and find future directions in these areas.

Produktdetails

• Lecture Notes in Networks and Systems 1378
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-5780-3
• Seitenzahl: 459
• Erscheinungstermin: 19. August 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819657803
• ISBN-10: 9819657806
• Artikelnr.: 73633468

Autorenporträt

Prof. (Dr.) Vijay Singh Rathore is presently working as Professor-CSE and Director of Research and International Relations at IES University, Bhopal, and also running his own establishment Shree KKarni Universe College, Jaipur (in partnership). He is Membership Chair, ACM Jaipur Chapter, and Past Chairman, CSI Jaipur Chapter. His core research areas include internet security, cloud computing, big data, and IoT. He has organized and participated 25+ national and international conferences of repute. He had been Member of Indian Higher Education Delegation and visited 20+ leading universities at Canada (May 2019), the UK (July 2017), and the USA (August 2018) supported by AICTE (led by then Chairman of AICTE Prof. Anil D Sahashtrabudhe) and GR foundation. He is Active Academician and always welcoming and forming innovative ideas in the various dimensions of education and research for the better development of the society. Dr. Vladan Devedzic is Professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences, 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 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 artificial intelligence, programming education, software engineering, intelligent software systems, and technology-enhanced learning (TEL). He is Founder and Chair of the GOOD OLD AI research network. Dr. Sriparna Saha received M.Tech. and Ph.D. degrees in computer science from Indian Statistical Institute Kolkata, India, in the years 2005 and 2011, respectively. She is currently serving as Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology Patna, India. She is Author of a book published by Springer-Verlag on the topic of unsupervised classification. She has authored or co-authored more than 400 papers. Her current research interests include multimodal information processing, natural language processing, machine learning, deep learning, bioinformatics, multi objective optimization, and biomedical information extraction. Her h-index is 40, and the total citation count of her papers is 8412 (according to Google Scholar). She is also Senior Member of IEEE and Fellow of IETE. She won the best paper awards in CLINICAL-NLP workshop of COLING 2016, IEEE-INDICON 2015, International Conference on Advances in Computing, Communications and Informatics (ICACCI 2012). Dr. Nikhat Raza Khan has acquired doctor of philosophy in computer science from Mewar University, in December 2018 with specialization on ad hoc network and security and  her master of technology in information security from Maulana Azad National Institute of Technology, Bhopal, in May 2009, with the Title of her thesis: “Edge Detection Technique using Fuzzy Logic”. She has more than a decade of experience in education and research. She has authored more than 55 research publications in national and international Journals and Conferences.  Dr. Nikhat is Active Member of Professional body IEEE and ACM. She awarded “Best Women Researcher Award” in Devi Ahilya Vishwavidyalaya held at Indore on February 27-28, 2019. Under this she has reviewed various papers and Ph.D thesis as External Reviewer. She worked as Coordinator of various training programs, FDP, Teqip workshops, seminars, conference, and expert lecture with highly skilled and leading field expertise of national level.

Inhaltsangabe

Smartphone Sensor Dataset for Online Reading Analysis.- Bridging the gap: Integrating Generative AI into Engineering Education 5.0 for Industry 5.0.- Proposing an AI-Enabled Waste Segregation System for Domestic Settings.- Application of Convolutional Neural Networks Method in Early Age Disease Detection of Paddy Crop.- Information Encryption Technique Based on DNA Cryptography and RSA Asymmetric Key Exchange Algorithm.- Sentiment Analysis Using Bi-Directional LSTM for Depression Detection and Suicide Prevention.- Disease Diagnosis from DNA sequence using GPU based Aho-corasick algorithm.- Advancing Dogri-English Translation Through Statistical Machine Translation Technique.- Future Price Prediction of IT Sector Companies Using Optimized Deep Learning Approaches.- Stacked Spatio-Temporal Fusion Network (SSTFN) Machine Learning-Based Traffic Prediction.- Improving the efficiency of EMG based prosthetic arm using EEG.- Analysis of Solar Panel Parameters for Extracting Maximum Power using Artificial Neural Network based Training Algorithm.- A Review on Anomaly Detection using Machine Learning Techniques for Unmanned Aerial Vehicles (UAVs).- Unlocking the Power of OpenCV: Innovative Development of Gesture-Based Systems.