Emerging Research in Data Engineering Systems and Computer Communications (häftad)
Häftad (Paperback / softback)
Antal sidor
1st ed. 2020
Springer Verlag, Singapore
Venkata Krishna, P. (ed.), Obaidat, Mohammad S. (ed.)
50 Tables, color; 229 Illustrations, color; 61 Illustrations, black and white; XVI, 694 p. 290 illus
234 x 156 x 36 mm
981 g
Antal komponenter
1 Paperback / softback
Emerging Research in Data Engineering Systems and Computer Communications (häftad)

Emerging Research in Data Engineering Systems and Computer Communications

Proceedings of CCODE 2019

Häftad Engelska, 2020-02-11
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This book gathers selected papers presented at the 2nd International Conference on Computing, Communications and Data Engineering, held at Sri Padmavati Mahila Visvavidyalayam, Tirupati, India from 1 to 2 Feb 2019. Chiefly discussing major issues and challenges in data engineering systems and computer communications, the topics covered include wireless systems and IoT, machine learning, optimization, control, statistics, and social computing.
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Dr. P. Venkata Krishna is currently a Professor of Computer Science and Director at Sri Padmavati Mahila University, Tirupati, India. He received his B. Tech in Electronics and Communication Engineering from Sri Venkateswara University, Tirupathi, India, M. Tech in Computer Science & Engineering from REC, Calicut, India and he received his Ph.D. from VIT University, Vellore, India. Dr. Krishna has several years of experience working in the academia, research, teaching, consultancy, academic administration and project management roles. His current research interests include Mobile and wireless systems, cross layer wireless network design, QoS and Cloud Computing. He was the recipient of several academic and research awards such as the Cognizant Best Faculty Award for the year 2009-2010 and VIT Most Active Researcher Award for the year 2009-2010. His biography was also selected for inclusion in the 2009-2010 edition of Marquis Who's Who in Science and Engineering and the Marquis Who's Who in the World, California, USA. He is the editor for ObCom series of International conference proceedings and he is founding member for ObCom International Conference. He has authored over 200 research papers in various national and international journals and conferences. He has produced 17 Ph.D's and 1 MS by research degree under his guidance. He has guided several masters and bachelors projects. He has authored 15 books on Computer Networks and Programming Languages. He is currently serving as editor in chief for International Journal of Smart Grid and Green Communications, Inderscience Publishers, Switzerland and also editor for International Journal of Systemics, Cybernetics and Informatics and Journal of Advanced Computing Technologies. He is an Associate Editor for International Journal of Communication Systems, Wiley. He is senior member several professional societies such as IEEE, ACM, CSI, IE(I) etc. Prof. Mohammad S. Obaidat received his Ph.D. and M. S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. Dr. Obaidat is currently the Chair and Full Professor of Computer and Information Science at Fordham University, NY, USA. Among his previous positions are Chair of the Department of Computer Science and Director of the Graduate Program at Monmouth University, Dean of the College of Engineering at Prince Sultan University and Advisor to the President of Philadelphia University for Research, Development and Information Technology. He has received extensive research funding and has published Thirty Eight (38) books and over Six Hundreds (600) refereed technical articles in scholarly international journals and proceedings of international conferences. Prof. Obaidat has served as a consultant for several corporations and organizations worldwide. Mohammad is the Editor-in-Chief of the Wiley International Journal of Communication Systems, the FTRA Journal of Convergence and the KSIP Journal of Information Processing. He is also an Editor of IEEE Wireless Communications. Between 1991-2006, he served as a Technical Editor and an Area Editor of Simulation: Transactions of the Society for Modeling and Simulations (SCS) International, TSCS. He also served on the Editorial Advisory Board of several journals and conferences.


Back Pressure Monitoring Of Power Plant Condenser Using Multiple Adaptive Regression Spline.- An Effiecient Image Retrieval System For Remote Sensing Images Using Deep Hashing Network.- Tea Leaf Disease Prediction Using Texture Based Image Processing.- Analyzing Significant Reduction In Traffic By Using Restricted Smart Parking.- Implementation and Performances study of a wlan ieee 802.11ad model using ns-3.- Distributed Trust Based Monitoring Approach For Fog/ Cloud Networks.- Artificial Intelligence Based Technique For Detection Of Selective Forwarding Attack In Rpl Based Internet Of Things Networks.- Decision Tree based Fraud detection mechanism by analyzing uncertain data in banking system.- Numerical Weather Analysis Using Statistical Modelling As Visual Analytics Technique.- Recommendation System Based On Optimal Feature Selection Algorithm For Predictive Analysis.- Improving the Accuracy of Prediction of Plant Diseases using Dimensionality Reduction-based Ensemble Models.- Generic Architecture for Ubiquitous IoT Applications.- Performance Evaluation of Spark Sql for Batch Processing.- Iot Based Traffic Management.- Detection Of Autism Spectrum Disorder Effectively Using Modified Regression Algorithm.- Gene sequence analysis of breast cancer using genetic Algorithm.- Impact of single server queue having machine repair with catastrophes using probability generating Function method.- Utilization Of Blockchain Technology To Overthrow The Challenges In Healthcare Industry.- Monitor And Abolish The Wildfire Using Iot And Cloud Computing.- Movie Success Prediction Using Clustering Method.- Critical review on privacy and security Issues in data mining.- A Review Of Data Semantization Of Iot Healthcare Data Using Data Mining Techniques.- A Review Of Iot, Its Importance In Healthcare Management And The Challenges And Issues In Its Implementation.- Survey: A Comparative Study of Different Security Issues in Big Data.- Mineral Identification Using Unsupervised Classification From Hyperspectral Data.- Accountable Communication In Ubiquitous Computing.- Prediction Of Real Estate Price Using Clustering Techniques.- Study and analysis of matrix operations in RLNC using various computing.- Comprehensive Survey of IoT Communication Technologies.- Cost Effective Model For Using Different Cloud Services.- Sentiment Analysis On Movie Reviews.- Privacy Preserving Datamining In Spatiotemporal Databases Based On Mining Negative Association Rules.- Spatial Data Based Prediction Models For Crop Yield Analysis: A Systematic Review.- Review On Neural Network Algorithms For Air Pollution Analysis.- Implementation Of Signal Processing Algorithms On Epileptic Eeg Signals.- Big Data Analytics In Health Care.- Analysing Human Activity Patterns By Chest Mounted Wearable Devices.- The Role Of Big Data Analytics In Smart Grid Management.- Fraudulence Detection And Recommendation Of Trusted Websites.- Detection and localization of multiple objects Using vggnet and single shot detection.- Smart Security System Using Iot And Mobile Assistance.- Highway Toll Management And Traffic Prediction Using Data Mining.- Machine Learning Usage In Facebook, Twitter And Google Along With The Other Tools.- Automatically Labelling Software Components With Concept Mining.- The Avant Garde Ways To Prevent The Whatsapp Fake News.- Statistical Approaches To Detect Anomalies.- An Extensive Survey on Some Deep Learning Applications.- A Cluster Based Improved Expectation Maximization Framework for Identification of Somatic Gene Clusters.- Identification of Ontologies of Prediabetes using SVM Sentiment Analysis.- A Systematic Survey on Software-Defined networks, Routing Protocols and Security Infrastructure for Underwater Wireless Sensor Networks (UWSNs).- Novel Probabilistic Clustering with Adaptive Actor Critic Neural Network (AACN) for Intrusion Detection Techniques.- Survey on Classification and Feature Section Approaches for Disease Diagnosis.- Review on Supervised Learning T