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Applied Computing - Second Asian Applied Computing Conference, AACC 2004, Kathmandu, Nepal, October 29-31, 2004. Proceedings (Paperback, 2004 ed.)
Suresh Manandhar, Jim Austin, Uday Desai, Yoshio Oyanagi, Asoke Talukder
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R1,692
Discovery Miles 16 920
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Ships in 10 - 15 working days
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The focus of the Asian Applied Computing Conference (AACC) is
primarily to bring the research in computer science closer to
practical applications. The conference is aimed primarily at topics
that have immediate practical bene?ts. By hosting the conf- ence in
the developingnations in Asia we aim to provide a forum for
engagingboth the academic and the commercial sectors in that
region. The ?rst conference "Information Technology Prospects and
Challenges" was held in May 2003 in Kathmandu, Nepal. Thisyear
theconferencenamewas changedto "Asian AppliedComputingConference"
to re?ect both the regional- and the application-oriented nature of
the conference. AACC is planned to be a themed conference with a
primary focus on a small set of topics although other relevant
applied topics will be considered. The theme in AACC 2004 was on
the following topics: systems and architectures, mobile and
ubiquitous computing, soft computing, man machine interfaces, and
innovative applications for the developing world. AACC 2004
attracted 184 paper submissions from around the world, making the
reviewing and the selection process tough and time consuming. The
selected papers covered a wide range of topics: genetic algorithms
and soft computing; scheduling, - timization andconstraintsolving;
neuralnetworksandsupportvectormachines;natural language processing
and information retrieval; speech and signal processing; networks
and mobile computing; parallel, grid and high-performance
computing; innovative - plications for the developing world;
cryptography and security; and machine lea- ing. Papers were
primarily judged on originality, presentation, relevance and
quality of work. Papers that had clearly demonstrated results were
given preference.
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
This volume gives a state of the art view of recent developments in
the use of artificial neural networks for the analysis of remotely
sensed satellite data. Remote sensing has now become a discipline
in which ever increasing volumes of data, gathered from space
together with growing application needs for high precision spatial
products, need to be interpreted in shorter times and with
increasing accuracy. Neural networks, as a new form of
computational paradigm, seem well suited to many of the tasks
involved in remotely sensed image analysis. This book demonstrates
a wide range of uses of neural networks for remote sensing
applications and provides the views of a large number European
experts brought together in the framework of a concerted action
supported by the European Commission.
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