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Computer Networks, Big Data and IoT, 1st ed. 2021 Proceedings of ICCBI 2020 Lecture Notes on Data Engineering and Communications Technologies Series, Vol. 66

Langue : Anglais

Coordonnateurs : Pandian A.Pasumpon, Fernando Xavier, Islam Syed Mohammed Shamsul

Couverture de l’ouvrage Computer Networks, Big Data and IoT

This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15?16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.

Maximizing Network Lifetime in WSN using Ant Colony Algorithm.- Deep Ensemble Approach for Question Answer System.- Information Sharing Over Social Media Analysis Using Centrality Measure.- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network.- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network.- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image.- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm.- Sentimental Analysis on Twitter Data of Political Domain.- Big Social Media Analytics: Applications and Challenges.- Intelligent Computing Application for Cloud Enhancing Health Care Services.- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques.- Security Issues and Solutions in E-Health and Telemedicine.- Accident Alert System with False Alarm Switch.- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows.- Algorithmic Trading using Machine Learning and Neural Network.- Analysis on Intrusion Detection System using Machine Learning Techniques.- Content Related Feature Analysis for Fake Online Consumer Review Detection.- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired.- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies.- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data.- Integration of IoT and SDN to Mitigate DDoS with RYU Controller.- A Framework for monitoring Patient’s Vital Signs with Internet-of-Things and Blockchain Technology.- Network Intrusion Detection using Cross Bagging based Stacking Model.- Performance Study of Free Space Optical System under Varied Atmospheric Conditions.- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks.- Automatic Vehicle Service Monitoring and Tracking System using IoT and Machine Learning.

Pasumpon Pandian Arasu received his Ph.D. degree in the Faculty of Information and Communication Engineering under Anna University, Chennai, TN, India, in 2013. He received his graduation and postgraduation degree in Computer Science and Engineering from PSG College of Technology, Coimbatore, TN, India, in the year 1993 and 2006, respectively. He is currently working as Professor in the Computer Science and Engineering department of KGiSL Institute of Technology, Coimbatore, TN, India. He has twenty-six years of experience in teaching, research and IT industry. He has published more than 20 research articles in refereed journals. He acted as Conference Chair in IEEE and Springer conferences and Guest Editor in Computers and Electrical Engineering (Elsevier), Soft Computing (Springer) and International Journal of Intelligent Enterprise (Inderscience) Journals. His research interest includes image processing and coding, image fusion, soft computing and swarm intelligence.

Xavier Fernando is Professor at the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has (co-)authored over 200 research articles and two books (one translated to Mandarin) and holds few patents and non-disclosure agreements. He was IEEE Communications Society Distinguished Lecturer and delivered close over 50 invited talks and keynote presentations all over the world. He was Member in the IEEE Communications Society (COMSOC) Education Board Working Group on Wireless Communications. He was  Chair IEEE Canada Humanitarian Initiatives Committee 2017–2018. He was also Chair of the IEEE Toronto Section and IEEE Canada Central Area. He is a program evaluator for ABET (USA). He was a visiting scholar at the Institute of Advanced Telecommunications (IAT), UK, in 2008, and MAPNET Fellow visiting Aston University, UK, in 2014. Ryerson University nominated him for the Top 25 Canadian Immigrants award in 2012 in which was a finalist. His rese

Presents research works in the field of computer networks, big data, and IoT

Contains best selected papers presented at ICCBI 2020 held in Madurai, India, during 15–16 December 2020

Serves as a reference for researchers and practitioners in academia and industry

Date de parution :

Ouvrage de 991 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 295,39 €

Ajouter au panier

Date de parution :

Ouvrage de 991 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 295,39 €

Ajouter au panier