Proceedings of Emerging Trends and Technologies on Intelligent Systems (eBook, PDF)

ETTIS 2021
Redaktion: Noor, Arti; Trivedi, Gaurav; Sen, Abhijit

• Format: PDF

Produktbeschreibung

This book presents best selected papers presented at the International Conference on Emerging Trends and Technologies on Intelligent Systems (ETTIS 2021) held from 4 - 5 March 2021 in online mode at C-DAC, Noida, India. The book includes current research works in the areas of artificial intelligence, big data, cyber-physical systems, and security in industrial/real-world settings. The book illustrates on-going research results, projects, surveying works, and industrial experiences that describe significant advances in all of the related areas.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 362
• Erscheinungstermin: 1. Oktober 2021
• Englisch
• ISBN-13: 9789811630972
• Artikelnr.: 62665809

Autorenporträt

Dr. Arti Noor is presently working as Senior Director at C-DAC, Noida. She has done her Ph.D. from IIT, BHU, in 1990. She has 20 years of teaching VLSI design-related courses to M.E. students of BITS, Pilani, and C-DAC, Noida. She has guided six Ph.D. and guided 200 student's projects of B.Tech./M.Tech./M.E. and examined 100 M.Tech. theses. She has published 81 research papers in journals and conferences including monographs. Dr. Abhijit Sen is currently Professor of the Computing Sciences and Information Systems at Kwantlen University College, Canada. He holds a Ph.D. from McMaster University, Hamilton, Ontario, Master of Science degree from University of California, Berkeley, USA, and B.Tech. in Electrical Engineering from IIT Kharagpur. He has over 20 years of academic and administrative experience at Kwantlen University College. At Kwantlen University College, he has taught a wide range of courses in network and communications, distributed systems, software development, programming, Internet application development, and emerging technologies. He serves as a member of accreditation team of Canadian Information Society (CIPS).  He brings in considerable industrial and managerial experiences having worked in organizations such as Canadian Aviation Electronics, Montreal, Canada, and Microtel Pacific Research, Burnaby, Canada. He also worked as a consultant to Canada Post, Montreal, and InfoElectonics, Montréal, Canada. He is also actively involved in professional activities and presented seminars and papers in number of conferences. He is a member of Institute of Electrical and Electronics Engineers Association (IEEE), New York Academy of Sciences, and Canadian Information Processing Society. Dr. Gaurav Trivedi is currently the Associate Professor at IIT Guwahati.  He holds a Ph.D. and M.Tech. from IIT Bombay, and Bachelor of Engineering from Shri Govindram Seksaria Institute of Technology and Science (SGSITS), Devi Ahilya University,Indore, Madhya Pradesh. His research interests include circuit simulation, VLSI CAD, electronics system design, computer architecture, semiconductor devices, hardware security, embedded systems, IoT, high performance computing, large-scale optimization, and machine learning. He has published several papers in national/international conferences and journals.

Inhaltsangabe

Application Layer Ddos Attack Detection And Defense Methods.- Identification and Analysis of Threat Vector for Security Evaluation of LAN.- Review of Stack-Based Binary Exploitation Techniques.- OntoBlogDis: A Knowledge Centric Ontology Driven Socially Aware Framework for Influential Blogger Discovery.- An Ontology based Semantic Approach for First Aid Prediction in Aviation Services incorporating RBFNN over a Cloud Server.- Benchmarking Analysis of CNN Architectures for Artificial Intelligence Platforms.- Welding Defect Inspection using Deep learning.- Image generation using GAN and their classification using SVM and CNN.- VDNet: Vehicle Detection Network using Computer Vision and Deep Learning Mechanism for Intelligent Vehicle System.- FCNet: Flower Classification Using Custom Made Convolution Neural Network and Transfer Learning.