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This book will cover all the topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoenders. The focus will be on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints.
This book addresses recent advances in data mining, learning, and analysis of big volume medical images resulting at... Læs mere
Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use.
This book focuses on the opportunities and challenges for data-driven modelling and... Læs mere
Cyberspace, Data Analytics, and Policing surveys the changes that cyberspace has brought to criminality and to policing with enough technical content to expose the issues and suggest ways in which law enforcement organizations can adapt.
The book is a compilation of authoritative perspectives on General Data Protection Regulation (GDPR) of experts from Industry, Law (EU and US), Academia, Banks, Cyber Security, Digital Forensics, eDiscovery, Investigations, and Cyber Insurance.
Modeling is widely utilized in agriculture, food, and environmental protection and management. The interrelationship of these... Læs mere
There is a large gap in entrepreneurship research when it comes to human capital data analytics. However, organizational sciences have made significant advancements in this area.
Ways that raw and summary data can be turned into visualizations that convey meaningful insights: basic graphs, bar charts, scatter plots, and line charts, and... Læs mere
Aimed at addressing the difficulties associated with teaching often abstract elements of technical ethics, this book is an extended fictional case study into the complexities of technology and social structures in complex organizations.