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Introduction to Reconfigurable Computing: Architectures, algorithms and applicationsThe book by Christophe Bobda, however, has also been written for people with a software background, substantially reducing the educational leap by bridging the gap. His book has the potential to become a best-seller and to stimulate the urgently needed transformation of the software developer populations mind set, by playing a similar role as known... | | Real-Time Systems: Modeling, Design, and Applications (Amast Series in Computing)This book collects the efforts developed by a series of researchers, presented at AMAST Workshops on Real-Time Systems. The authors whose papers were selected for this book are major players in this area, and they were given the opportunity to refine the text of their papers as a result of the lively discussions that took place during the... | | Signal Transduction Protocols (Methods in Molecular Biology)
It is increasingly clear that signal transduction is a highly organized and integrated process. Divided into two convenient sections, Signal Transduction Protocols, Third Edition focuses on experimental approaches to better understand the complexity of signal transduction. Introductory chapters provide perspective on... |
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Integrated Model of Distributed Systems (Studies in Computational Intelligence)
In modern distributed systems, such as the Internet of Things or cloud computing, verifying their correctness is an essential aspect. This requires modeling approaches that reflect the natural characteristics of such systems: the locality of their components, autonomy of their decisions, and their asynchronous communication. However, most of the... | | Computer Vision Metrics: Survey, Taxonomy, and Analysis
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors... | | Bioimaging in Neurodegeneration (Contemporary Neuroscience)
Bioimaging is in the forefront of medicine for the diagnosis and helps to predict the progression of AD via mild cognitive treatment of neurodegenerative disease. Conventional magnetic impairment (MCI) studies. resonance imaging (MRI) uses interactive external magnetic fields Novel neuroimaging technologies, such as neuromolecular and... |
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