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 Computing: A Concise History (MIT Press Essential Knowledge)
The history of computing could be told as the story of hardware and software, or the story of the Internet, or the story of "smart" hand-held devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian... |  |  Neurobiology of Neural Networks (Computational Neuroscience)
This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the... |  |  On Computing: The Fourth Great Scientific Domain
Computing isn't simply about hardware or software, or calculation or applications. Computing, writes Paul Rosenbloom, is an exciting and diverse, yet remarkably coherent, scientific enterprise that is highly multidisciplinary yet maintains a unique core of its own. In On Computing, Rosenbloom proposes that computing is a great... |
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 Fowler-Nordheim Field Emission: Effects in Semiconductor Nanostructures (Springer Series in Solid-State Sciences, Vol. 170)
This monograph solely presents the Fowler-Nordheim field emission (FNFE) from semiconductors and their nanostructures. The materials considered are quantum confined non-linear optical, III-V, II-VI, Ge, Te, carbon nanotubes, PtSb2, stressed materials, Bismuth, GaP, Gallium Antimonide, II-V, Bi2Te3, III-V, II-VI, IV-VI and HgTe/CdTe... |  |  Diagnosing Wild Species Harvest: Resource Use and Conservation
Diagnosing Wild Species Harvest bridges gaps of knowledge fragmented among scientific disciplines as it addresses this multifaceted phenomenon that is simultaneously global and local. The authors emphasize the interwoven nature of issues specific to the ecological, economic, and socio-cultural realms of wild species harvest.
... |  |  Compression Schemes for Mining Large Datasets: A Machine Learning Perspective
This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and time, while... |
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