يعرض 81 - 100 نتائج من 394 نتيجة بحث عن '(( tests using algorithm ) OR ((( elements finding algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 81
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  3. 83

    Parallel Algorithm for Hardware Implementation of Inverse Halftoning حسب Siddiqi, Umair F.

    منشور في 2005
    "…The 15-pixel parallel version of the algorithm was tested on sample images and a simple and effective method has been used to overcome quality degradation due to pixel loss in the proposed algorithm. …"
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    article
  4. 84

    Parallel algorithm for hardware implementation of inverse halftoning حسب Siddiqi, U.F.

    منشور في 2005
    "…The 15-pixel parallel version of the algorithm was tested on sample images and a simple and effective method has been used to overcome quality degradation due to pixel loss in the proposed algorithm. …"
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    article
  5. 85
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  7. 87

    A Geometric-Primitives-Based Compression Scheme for Testing Systems-on-a-Chip حسب El-Maleh, Aiman H.

    منشور في 2001
    "…In this paper, it is assumed that an embedded core will be used to execute the decompression algorithm and decompress the test data.…"
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  8. 88
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    A pragmatic approach for testing robustness on real-time component based systems حسب Tarhini, Abbas

    منشور في 2005
    "…Each tester is dedicated to test a single SUT component. A test execution algorithm with an approach to handle testers coordination and execution delay is presented. …"
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  10. 90

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

    منشور في 2001
    "…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …"
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  11. 91

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation حسب El-Maleh, A.H.

    منشور في 2001
    "…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …"
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    article
  12. 92

    Fuzzy simulated evolution algorithm for VLSI cell placement حسب Sait, Sadiq M.

    منشور في 2003
    "…Experiments with benchmark tests demonstrate a noticeable improvement in solution quality. …"
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    article
  13. 93

    Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

    منشور في 2000
    "…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…"
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    article
  14. 94

    A genetic algorithm for testable data path synthesis حسب Harmanani, H.

    منشور في 2017
    "…We follow the allocation method with an automatic test point selection algorithm that trades off design area and delay with test quality. …"
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  15. 95

    An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis حسب Harmanani, Haidar

    منشور في 2005
    "…The proposed method was implemented using C++ on a Linux workstation. We tested our method on a set of high-level synthesis benchmarks, all yielding good solutions in a short time. …"
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    article
  16. 96

    A Comparative Study of Elgamal Based Cryptographic Algorithms حسب Haraty, Ramzi A.

    منشور في 2004
    "…To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …"
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  17. 97
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    A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

    منشور في 2020
    "…Results show that on all test cases, the Simulated Evolution algorithm exhibits a more intelligent search of the solution subspace and was able to find better solutions than Simulated Annealing and Esau–Williams algorithm. …"
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  20. 100

    Natural optimization algorithms for the cross-dock door assignment problem حسب Tarhini, Abbas A.

    منشور في 2016
    "…A lot of research has been conducted regarding this topic; still, up to our knowledge, none used scatter search (SS). This paper modifies a classical mathematical model that represents the CDAP and implements an evolutionary metaheuristic SS algorithm and tests it and then compares the results with those of another evolutionary algorithm, i.e., genetic algorithm (GA). …"
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    article