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Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA 2019 de Vanita Jain

Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA 2019: Lecture Notes in Electrical Engineering, cartea 612

Editat de Vanita Jain, Gopal Chaudhary, M. Cengiz Taplamacioglu, M. S. Agarwal
en Limba Engleză Paperback – 19 ian 2021
This book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and applications in the fields of data mining, artificial intelligence and computational intelligence. They also discuss machine learning in business intelligence and big data analytics, soft computing, security, cloud computing and the latest trends.
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Specificații

ISBN-13: 9789811503740
ISBN-10: 9811503745
Pagini: 476
Ilustrații: XI, 476 p. 200 illus., 129 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

Cuprins

Classification and ​Analysis of Real-World Earthquake Data using various Machine Learning Algorithms.- Crime data set analysis using Formal Concept Analysis (FCA):A survey.- ANALYSING THE PATTERNS OF DELHI’S AIR POLLUTION.- Predictive Analysis of NARX, NLIO and RNN Networks for Short-term Wind Power Forecasting.- Training Data on Recursive Parallel Processors for Deep Learning.- Advanced Anti-theft and Accident Alert System for Two  Wheelers using Location Based Services.- A Data Analytics Framework for Decision Making in Agriculture.- Design Flaws and Cryptanalysis of a Standard Mutual Authentication Protocol for Cloud Computing based Healthcare System.- Cognitive Radio Based Environmental Health Monitoring and Regulation System for Toxic Gases.- How to help Johnny to travel in a brimming train?.

Notă biografică

Prof. Vanita Jain is Head of the Information Technology Department at Bharati Vidyapeeth’s College of Engineering, New Delhi. She completed her B.E. and M.E. from Punjab Engineering College, Chandigarh, and Kurukshetra University, respectively. She received her Ph.D. from the VJTI , Mumbai University.  Her areas of interest include digital communication, control systems, optimization and system engineering. 
Dr. Gopal Chaudhary is an Assistant Professor at Bharati Vidyapeeth’s College of Engineering, New Delhi.  He received his B.Tech. from UPTU, his M.Tech. from the DTU, and his Ph.D. from the NSIT, University of Delhi. His areas of specialization are pattern recognition, computer vision and biometrics.
Dr. M. Cengiz Taplamacioglu is a Professor at the Electrical and Electronics Engineering Department, Gazi University.  He received his Ph.D. in Electrical, Electronics and Systems Engineering from the University of Wales College of Cardiff. 
Prof. M.S. Agarwal received his B. E. (Hons.) degree in Electrical Engineering from the Government Engineering College, Jabalpur, in 1963, his M.Tech. degree in Power Systems from the IIT Bombay in 1967, and his Ph.D. in Vacuum Arcs from the University of Liverpool in 1977. After completing his Ph.D., he founded a research program on Vacuum and HVDC Circuit Breakers and established new research laboratories at the IIT Bombay. He has supervised several M. Tech. and Ph.D. degree projects in these fields and published a number of research papers in prominent national and international journals.

Textul de pe ultima copertă

This book gathers the best papers presented at the International Conference on Data Sciences, Security and Applications (ICDSSA 2019), organized by Bharati Vidyapeeth’s College of Engineering, New Delhi, India, on 7–8 March 2019. The respective contributions present original research work, essential information, techniques and applications in the fields of data mining, artificial intelligence and computational intelligence. They also discuss machine learning in business intelligence and big data analytics, soft computing, security, cloud computing and the latest trends.