يعرض 41 - 60 نتائج من 432 نتيجة بحث عن '(((( implement ii algorithm ) OR ( element mapping algorithm ))) OR ( level using algorithm ))', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 41

    Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data حسب Arfan Ahmed (17541309)

    منشور في 2023
    "…One of the key aspects of WDs with machine learning (ML) algorithms is to find specific data signatures, called Digital biomarkers, that can be used in classification or gaging the extent of the underlying condition. …"
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    Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation حسب Maymouna Ez Eddin (21633650)

    منشور في 2024
    "…The adopted methodology aims to enhance partitioning efficiency substantially while preserving a high level of partitioning quality. The proposed framework is verified on IEEE 14, 39, 118, and 2000-bus systems and compared to nine other well-known and widely used clustering techniques, including K-Means and Gaussian Mixture models. …"
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    Boosting the visibility of services in microservice architecture حسب Ahmet Vedat Tokmak (17773479)

    منشور في 2023
    "…Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.…"
  6. 46

    Predicting Plasma Vitamin C Using Machine Learning حسب Daniel Kirk (17302798)

    منشور في 2022
    "…<p dir="ltr">Precision Nutrition makes use of personal information about individuals to produce nutritional recommendations that have more utility than general population level recommendations. …"
  7. 47

    EFFICIENT ALGORITHM FOR WEINBERGER ARRAY FOLDING حسب Sait, Sadiq M.

    منشور في 2020
    "…Weinberger arrays (WAs) are an alternative to progammable logic arrays (PLAs) as a method of implementing combinatorial logic circuits. Column folding is a technique generally employed in PLAs to save the silicon area by implementing the circuit of two column in the area of one. …"
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    Improvement Algorithm for Limited Space Scheduling حسب Zouein, Pierrette

    منشور في 2001
    "…The model characterizes resource space requirements over time and establishes a time-space relationship for each activity in the schedule, based on alternative resource levels. An example illustrates the presented algorithm that generates a feasible space schedule.…"
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    Empirical comparison of regression test selection algorithms حسب Mansour, Nashat

    منشور في 2001
    "…These criteria are: number of selected test cases, execution time, precision, inclusiveness, preprocessing requirements, type of maintenance, level of testing, and type of approach. The empirical results show that the five algorithms can be used for different requirements of regression testing. …"
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  13. 53

    A New Parallel Genetic Algorithm Model حسب Al-Somani, Turki F.

    منشور في 2020
    "…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …"
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    Scalable parallel algorithms for difficult combinatorial problems حسب Abu-Khzam, Faisal N.

    منشور في 2004
    "…To accomplish this, an efficient sequential algorithm and two forms of parallel algorithms are implemented. …"
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    Hardware design and VLSI implementation of a byte-wise CRCgenerator chip حسب Sait, Sadiq M.

    منشور في 1995
    "…The algorithm is based on the work presented by Perez, Wismer and Becker (1983) in which a software implementation was proposed. …"
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    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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  20. 60

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

    منشور في 2017
    "…The approach is formulated as an allocation problem and solved using an efficient genetic algorithm that generates cost-effective testable designs. …"
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