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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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發(fā)表于 2025-3-21 19:31:36 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Applied Computing
期刊簡稱Second Asian Applied
影響因子2023Suresh Manandhar,Jim Austin,Asoke K. Talukder
視頻videohttp://file.papertrans.cn/160/159706/159706.mp4
發(fā)行地址Includes supplementary material:
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Applied Computing; Second Asian Applied Suresh Manandhar,Jim Austin,Asoke K. Talukder Conference proceedings 2004 Springer-Verlag Berlin He
影響因子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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Development of Genetic Algorithm Embedded KNN for Fingerprint Recognitionis embedded to initiate the Kohonen classifers. By the proposed approach, the neural network learning performance and accuracy are greatly enhanced. In addition, the genetic algorithm can successfully avoid the neural network from being trapped in a local minimum. The proposed method was tested for
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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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Volumetric Measurement of Heart Using PA and Lateral View of Chest Radiographac measurements in postero-anterior (PA) and lateral view of chest radiograph Determination of heart size is a major factor in the clinical evaluation of the healthy or failing heart. In this paper, we describe an automatic method for computing the approximate volume of the heart based on cardiac re
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On the Optimization of Fuzzy Relation Equations with Continuous t-Norm and with Linear Objective Funeveloped to solve it. In this paper, a complementary problem for the original problem is defined. Due to the structure of the feasible domain and nature of the objective function, individual variable is restricted to become bi-valued. We propose a procedure for separating the decision variables into
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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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GA-Based Multiple Route Selection for Car Navigationrd algorithm etc. are available with practical applications. But simultaneous search for multiple semioptimal routes are difficult with the above mentioned solutions as they produce the best one at a time. Genetic Algorithm (GA) based solutions are currently available for simultaneous search of mult
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