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Titlebook: Applied Computing; Second Asian Applied Suresh Manandhar,Jim Austin,Asoke K. Talukder Conference proceedings 2004 Springer-Verlag Berlin He

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期刊全称Applied Computing
期刊简称Second Asian Applied
影响因子2023Suresh Manandhar,Jim Austin,Asoke K. Talukder
视频video
发行地址Includes supplementary material:
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Applied Computing; Second Asian Applied Suresh Manandhar,Jim Austin,Asoke K. Talukder Conference proceedings 2004 Springer-Verlag Berlin He
影响因子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
Pindex Conference proceedings 2004
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书目名称Applied Computing影响因子(影响力)




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书目名称Applied Computing读者反馈学科排名




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Finding the Natural Groupings in a Data Set Using Genetic Algorithmshis paper, an objective function based on minimal spanning tree (MST) of data points is proposed for clustering and GAs have been used in an attempt to optimize the specified objective function in order to detect the natural grouping in a given data set. Several experiments on synthetic data set in
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Parallel SAT Solving with MicrocontrollersCHAFF optimised for a scalable, dynamically reconfigurable multiprocessor system based on Microchip PIC microcontrollers. PICHAFF includes lazy clause evaluation, conflict driven learning, non-chronological backtracking, clause deletion, and early conflict detection, all of them adapted to the envir
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