Showing 1 - 20 results of 58 for search '(( complement maya algorithm ) OR ((( second test algorithm ) OR ( neural coding algorithm ))))', query time: 0.14s Refine Results
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    Hardening the ElGamal Cryptosystem in the Setting of the Second Group of Units by ElKassar, AbdulNasser

    Published 2014
    “…We implement our algorithms and conduct testing to evaluate the accuracy, efficiency and security of the modified cryptographic scheme.…”
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    UML-based regression testing for OO software by Mansour, Nashat

    Published 2010
    “…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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    A pragmatic approach for testing robustness on real-time component based systems by Tarhini, Abbas

    Published 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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    Power Control Algorithms for Media Transmission in Remote Healthcare Systems by Ali Hassan Sodhro (18629392)

    Published 2018
    “…Second, a hardware platform was developed on the Intel Galileo board to test and compare the proposed EEA and conventional adaptive TPC (ATPC) in terms of energy and channel reliability or packet loss ratio (PLR). …”
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    A fast constructive algorithm for fixed channel assignment problem by Khan, J.A.

    Published 2001
    “…The algorithm was tested on several benchmark problems, and conflict free results were obtained a within one second. …”
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    Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

    Published 2022
    “…The comparative evaluation against several state-of-the-art methods show that the proposed method is able to produce new best results for some tested cases as well as the second-best for others. …”
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    An image processing and genetic algorithm-based approach for the detection of melanoma in patients by Tokajian, Sima

    Published 2018
    “…Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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