يعرض 61 - 80 نتائج من 602 نتيجة بحث عن '(((( developing a algorithm ) OR ( element data algorithm ))) OR ( data fitting algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Empirical comparison of regression test selection algorithms حسب Mansour, Nashat

    منشور في 2001
    "…For example the Simulated Annealing algorithm can be used for emergency non-safety-critical maintenance situations with a large number of small modifications.…"
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    article
  3. 63

    Capturing outline of fonts using genetic algorithm and splines حسب Sarfraz, M.

    منشور في 2001
    "…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. …"
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    article
  4. 64
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    Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives حسب Nasir Uddin, M.

    منشور في 2005
    "…The parameters for the GFLC are tuned by genetic algorithm (GA). The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. …"
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    article
  6. 66

    A localized navigation algorithm for radiation evasion for nuclear facilities: Optimizing the "Radiation Evasion" criterion: Part I حسب Khasawneh, Mohammad

    منشور في 2013
    "…In this paper, we introduce a navigation algorithm having general utility for occupational workers at nuclear facilities and places where radiation poses serious health hazards. …"
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    article
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    A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

    منشور في 2021
    "…To solve the proposed model, four meta-heuristic algorithms, namely multi-objective particle swarm optimization (MOPSO), a non-dominated sorting genetic algorithm (NSGA-II), a hybrid of k-medoids as a famous clustering algorithm and NSGA-II (KNSGA-II), and a hybrid of K-medoids and MOPSO (KMOPSO) are implemented. …"
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    Metaheuristic Optimization Algorithms for Training Artificial Neural Networks حسب Mansour, Nashat

    منشور في 2012
    "…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …"
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    article
  11. 71

    Distributed dimension reduction algorithms for widely dispersed data حسب Abu-Khzam, F.N.

    منشور في 2002
    "…It runs in linear time and requires very little data transmission. A series of experiments is conducted to gauge how the algorithm’s emphasis on minimal data transmission affects solution quality. …"
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  12. 72
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    Formal synthesis of VLSI layouts from algorithmic specifications حسب Sait, Sadiq M.

    منشور في 2020
    "…In this paper we present a formal approach for high level synthesis. This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …"
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    article
  14. 74

    Computational Experience On Four Algorithms For The Hard Clustering Problem حسب AlSultan, K.S.

    منشور في 2020
    "…Several algorithms have been developed to solve this problem which include the k-means algorithm, the simulated annealing algorithm, the tabu search algorithm, and the genetic algorithm. …"
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    article
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    Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent Magnet Synchronous Motor Drives حسب Nasir Uddin, M.

    منشور في 2004
    "…At each operating condition a genetic algorithm is used to optimize the PI controller parameters in a closed-loop vector control scheme. …"
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    article
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    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Lastly, we provide public access to the generated datasets to facilitate bench-marking of new feature selection algorithms in the field via our Github repository. The contributions of this paper aim to foster the development of novel feature selection algorithms and advance their study.…"
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    article
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