Titre: Evolution in Computational Intelligence: Frontiers in Intelligent Computing: Theory and Applications (FICTA 2020), Volume 1: 1176 (Advances in Intelligent Systems and Computing)
�diteur: Springer
Date de parution: 2020
Langue: anglais
ISBN � 10 chiffres: 981155787X
ISBN � 13 chiffres: 9789811557873
Reliure: Paperback
�tat de l'article: Fine

A propos de ce titre

Synopsis

Faster Result Retrieval from Health Care Product Sales Data Warehouse using Materialized Queries.- Feature Selection using Ant Colony Optimization and Weighted Visibility Graph.- From Generic to Custom: A Survey on Role of Machine Learning in Pharmacogenomics, Its Applications and Challenges.- Personalized Structure Balance Theory Based Movie Recommendation System.- Machine Learning Techniques for the Investigation of Phishing Websites

� propos de l?auteur

Vikrant Bhateja is Associate Professor, Department of ECE in SRMGPC, Lucknow. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has around 150 quality publications in various international journals and conference proceedings. He has edited more than 25 volumes of conference proceedings with Springer Nature (AISC, SIST, LNEE, LNNS Series). He is associate editor of IJSE and IJRSDA.and presently EiC of IJNCR journal under IGI Global.
Sheng-Lung Peng is a Professor at the Department of Computer Science and Information Engineering at National Dong Hwa University, Hualien, Taiwan. He is also a supervisor at the Chinese Information Literacy Association, and the Association of Algorithms and Computation Theory. His research interests include designing and analyzing algorithms for bioinformatics, combinatorics, data mining and networks. He has edited several special issues in respected journals and published more than 100 international conference and journal papers. Suresh Chandra Satapathy is a Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. His research interests include machine learning, data mining, and swarm intelligence studies and their applications to engineering. He has published over 140 publications in various respected international journals and conference proceedings. He has edited several volumes of AISC, LNEE and SIST, and is a senior member of IEEE and life member of the Computer Society of India.
Yu-Dong Zhang received his Ph.D. degree from Southeast University, China, in 2010. From 2010 to 2013, he worked as a post-doc and then as a research scientist at Columbia University, USA. He served as a Professor at Nanjing Normal University from 2013 to 2017, and is currently a Full Professor at the University of Leicester, UK. His research interests include deep learning in communication and signal processing, and medical image processing.

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