يعرض 141 - 160 نتائج من 634 نتيجة بحث عن '(((( time using algorithm ) OR ( data scheduling algorithm ))) OR ( element data algorithm ))', وقت الاستعلام: 0.17s تنقيح النتائج
  1. 141

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors حسب Mansour, Nashat

    منشور في 1992
    "…Graph contraction leads to remarkable reductions in mapping time, while maintaining good mapping qualities. It allows large-scale mapping to become efficient, especially when the physical optimization algorithms are used.…"
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    masterThesis
  2. 142

    New Efficient Frequency Domain Algorithm For H-Infinity Approximation حسب Kavranoglu, D

    منشور في 2020
    "…The schemes are applicable in both continuous and discrete-time cases. The new algorithm is used to obtain reduced order controllers for a well known control problem.…"
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    article
  3. 143

    Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

    منشور في 2019
    "…Twenty-seven t-domain, f-domain, and Mel frequency cepstral coefficients (MFCC) features were used to train a public database to identify the best-performing algorithm for classifying abnormal and normal heart sound (HS). …"
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    A Survey of cuckoo search algorithm: optimizer and new applications حسب Abualigah, Laith

    منشور في 2024
    "…The proposed search technique is compared with the existing standard optimization algorithms. The current CS computations are merged with Lévy flight and it was the first time used to solve nonlinear benchmark challenges.…"
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  7. 147
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    Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

    منشور في 2020
    "…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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    article
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    Simulated evolution algorithm for multiobjective VLSI netlist bi-partitioning حسب Sait, Sadiq M.

    منشور في 2003
    "…A series of experiments are performed to evaluate the efficiency of the algorithm. ISCAS-85/89 benchmark circuits are used and experimental results are reported and compared to earlier algorithms like GA and TS.…"
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    article
  12. 152

    Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

    منشور في 2020
    "…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …"
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    article
  13. 153
  14. 154

    A GENERAL REAL-TIME DECODER BASED ON AMD2900 DEVICES حسب SOOMRO, AA

    منشور في 2020
    "…Two strategies are adapted to increase throughput of the decoder for real-time decoding. First, bit-slice microprocessors are used and ALU word length is chosen to be equal to that of a code word. …"
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    article
  15. 155

    A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

    منشور في 2021
    "…A comparison of the inference time for the best-performing networks confirmed that the proposed algorithm can be deployed as a smartphone application to allow the user to monitor the progression of the DFU in a home setting.…"
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    Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods حسب Sivakavi Naga Venkata Bramareswara Rao (15944992)

    منشور في 2022
    "…In addition, three distinct optimization techniques are used to find the optimum ANN training algorithm: Levenberg–Marquardt, Bayesian Regularization, and Scaled Conjugate Gradient. …"
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    Evolutionary algorithms for state justification in sequential automatic test pattern generation حسب El-Maleh, Aiman H.

    منشور في 2005
    "…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …"
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    article