Innovations in Computer Science and Engineering
Description
This book includes high-quality, peer-reviewed research papers from the 6
th
International Conference on Innovations in Computer Science & Engineering (ICICSE 2018), held at Guru Nanak Institutions, Hyderabad, India from August 17 to 18, 2018. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques and offers a platform for researchers from academia and industry to present their original work and exchange ideas, information, techniques and applications in the field of computer science.
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Persons
Dr. H. S. Saini, Managing Director for Guru Nanak Institutions, obtained his Ph.D. in the field of Computer Science. He has over 28 years of experience at University/College level in teaching UG/PG students and has guided several B.Tech., M.Tech. projects. He has published/presented high-quality research papers in International, National Journals and proceedings of International Conferences. He has two books to his credit. Dr. Saini is a lover of innovation and is an advisor for NBA/NAAC accreditation process to many institutions in India and abroad. He is chief editor of many innovative journals and chairing various international conferences.
Dr. Rishi Sayal, Associate Director, Guru Nanak Institutions Technical Campus has completed his B.E. (CSE), M. Tech. (IT), Ph. D. (CSE). He has obtained his Ph. D in Computer Science and Engineering in the field of data mining from prestigious Mysore University of Karnataka state. He has over 26 years of experience in training, consultancy, teaching and placements. His current areas of research interest include Data Mining, Network Security and Databases. He has published wide number of research papers in International Conferences & Journals. He has guided many UG and PG research projects and he is recipient of many research grants from Government funding agencies. He is co-editor of various innovative journals and convened international conferences.Dr. A. Govardhan is presently a Professor of Computer Science & Engineering, Rector, JNTUH and Executive Council Member, Jawaharlal Nehru Technological University Hyderabad (JNTUH), India. He did his Ph. D from Jawaharlal Nehru Technological University, Hyderabad. He is a member on the Editorial Boards for twelve International Journals. He is a Member on Advisory Boards & Academic Boards and Technical Program Committee Member for more than 65 International and National Conferences. He has two monographs and ten book chapters published.
Dr. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft Pvt. Ltd., a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as a Future Fellow of the Australian Research Council during 2012-2016. He received a Doctor of Philosophy (PhD) in Computer Science and Software Engineering from Monash University, Melbourne, Australia in 2002. Dr. Buyya has authored/co-authored over 625 publications. He has co-authored five text books, and edited proceedings of over 25 international conferences.
Content
Named Entity Recognition in Tamil Language Using Recurrent based Sequence Model.- Quantum Digital Signature based Group Key Management in E-Commerce.- Predicting the Risk of Readmission of Diabetic Patients Using Deep Neural Networks.- Reliable Healthcare Monitoring System Using SPOC Framework.- Computer Aided Lung Parenchyma Segmentation Using Supervised Learning.- Gender Identification of Code Mixed Malayalam-English Data from WhatsApp.- Comparative Study of Machine Learning Approaches for Heart Transplantation.- Enhanced Trust based Cluster Head Selection in Wireless Sensor Networks.- Homomorphic Encryption Scheme to Enhance the Security of Data.- An Effective Data Transmission Approach through Cascading of Clusters in Path Identification for WSN Routing.- An Inception towards better Classification Technique for Big Data.- A Hybrid Feature Selection Approach for Handling a High Dimensional Data.- Improved Clustering Technique Using Meta Data for Text Mining.- Privacy Preservationin Healthcare by Process Mining.