Subcategories

"High Performance Parallel Computing" ed. by Satyadhyan Chickerur

Posted By: exLib
"High Performance Parallel Computing" ed. by Satyadhyan Chickerur

"High Performance Parallel Computing" ed. by Satyadhyan Chickerur
ITExLi | 2019 | ISBN: 1789856248 9781789856248 178985623X 9781789856231 | 106 pages | PDF | 12 MB

This book aims to present the state of the art in research and development of the convergence of high-performance computing and parallel programming for various engineering and scientific applications. The book has consolidated algorithms, techniques, and methodologies to bridge the gap between the theoretical foundations of academia and implementation for research, which might be used in business and other real-time applications in the future.

"Digital Forensic Science" ed. by B Suresh Shetty, Pavanchand Shetty

Posted By: exLib
"Digital Forensic Science" ed. by B Suresh Shetty, Pavanchand Shetty

"Digital Forensic Science" ed. by B Suresh Shetty, Pavanchand Shetty
ITExLi | 2020 | ISBN: 1838802606 9781838802608 1838802592 9781838802592 1839687428 9781839687426 | 152 pages | PDF | 18 MB

This book makes up a major part of the broad specialty of Digital Forensic Science, comprising mainly of tools and technologies of cyber forensic experts for their future practice. The book will be useful to practitioners of forensic medicine, experts, cyber experts, law makers, investigating authorities, and undergraduate and postgraduate medical school graduates of medicine.

"Recent Applications in Data Clustering" ed. by Harun Pirim

Posted By: exLib
"Recent Applications in Data Clustering" ed. by Harun Pirim

"Recent Applications in Data Clustering" ed. by Harun Pirim
ITExLi | 2018 | ISBN: 1789235278 9781789235272 178923526X 9781789235265 | 237 pages | PDF | 36 MB

The book aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package.