Connected Computing Environment
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Connected Computing Environment
Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of sugnificant, lasting value in this rapidly expanding field. - In-depth surveys and tutorials on new computer technology - Well-known authors and researchers in the field - Extensive bibliographies with most chapters - Many of the volumes are devoted to single themes or subfields of computer science
Deep Learning and Parallel Computing Environment for Bioengineering Systems
Author: Arun Kumar Sangaiah
language: en
Publisher: Academic Press
Release Date: 2019-07-26
Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data
Introduction of The PC
""Introduction of The PC"" presents a compelling exploration of personal computing's transformative journey from room-sized mainframes to pocket-sized devices, weaving together technological evolution with profound societal impact. The book skillfully navigates through three main themes: the historical development of personal computers, their revolutionary impact on society, and emerging technologies shaping computing's future. Through meticulous research and primary documents, it reveals how pioneers like Steve Jobs and Bill Gates turned theoretical possibilities into the practical realities that now define our digital age. The narrative progresses methodically, beginning with fundamental concepts and building toward complex technological innovations. Readers follow the evolution from the Altair 8800 to the IBM PC, understanding how each advancement contributed to the computing revolution. What sets this work apart is its interdisciplinary approach, connecting technological developments to broader fields like economics, sociology, and psychology, while maintaining accessibility for readers across different knowledge levels. The book's analytical framework extends beyond mere technical specifications, examining how personal computing catalyzed fundamental shifts in human capability and society. Through carefully structured chapters, it addresses contemporary challenges including privacy concerns, digital divide issues, and environmental impacts, while exploring future developments in quantum computing and artificial intelligence. This comprehensive approach, supported by case studies and technical documentation, offers readers a thorough understanding of how personal computing continues to shape our world.