Yazar: Soumya K. Ghosh

Destek
Arindam Chaudhuri: Arindam Chaudhuri is currently a Data Scientist at the Samsung R & D Institute Delhi, India. He has worked in industry, research and teaching in the field of machine learning domain for the past 16 years. His current research interests include pattern recognition, machine learning, soft computing, optimization and big data. He received his MTech and Ph D in Computer Science from Jadavpur University, Kolkata, India and Netaji Subhas University, Kolkata, India in 2005 and 2011 respectively. He has published 2 research monographs and over 40 articles in international journals and conference proceedings. He has served as a reviewer for several international journals and conferences. Soumya K Ghosh: Soumya K Ghosh is currently a Professor at the Department of Computer Science Engineering at the Indian Institute of Technology Kharagpur, India. His current research interests include pattern recognition, machine learning, soft computing, cloud applications and sensornetworks. He received his MTech and Ph D in Computer Science Engineering from the Indian Institute of Technology Kharagpur, India in 1996 and 2002 respectively. He has over 25 years of experience in industry, research and teaching. He has published 2 research monographs and over 100 articles in international journals and conference proceedings. He has served as a reviewer for several international journals and conferences.




5 Ebooks tarafından Soumya K. Ghosh

Arindam Chaudhuri & Soumya K. Ghosh: Quantitative Modeling of Operational Risk in Finance and Banking Using Possibility Theory
This book offers a comprehensive guide to the modelling of operational risk using possibility theory. It provides a set of methods for measuring operational risks under a certain degree of vagueness …
PDF
İngilizce
DRM
€115.45
Pratixa Badelia & Arindam Chaudhuri: Optical Character Recognition Systems for Different Languages with Soft Computing
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genet …
EPUB
İngilizce
DRM
€165.39
Arindam Chaudhuri & Soumya K Ghosh: Bankruptcy Prediction through Soft Computing based Deep Learning Technique
This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical …
PDF
İngilizce
€53.49
Monidipa Das & Soumya K. Ghosh: Enhanced Bayesian Network Models for Spatial Time Series Prediction
This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, whil …
PDF
İngilizce
DRM
€164.54
Anwesha Mukherjee & Debashis De: Mobile Edge Computing
Mobile Edge Computing (MEC) provides cloud-like subscription-oriented services at the edge of mobile network. For low latency and high bandwidth services, edge computing assisted Io T (Internet of Th …
PDF
İngilizce
€160.49