يعرض 201 - 220 نتائج من 730 نتيجة بحث عن '(((( implement scheduling algorithm ) OR ( relevant data algorithm ))) OR ( data using algorithm ))', وقت الاستعلام: 0.14s تنقيح النتائج
  1. 201
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    Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices حسب Aya Hasan Alkhereibi (17151070)

    منشور في 2025
    "…Drawing on data from the Smart Cities Index (SCI) and other economic and sustainability competitiveness metrics, the study uses various <u>ML algorithms</u> to categorize cities into <u>performance classes</u>, ranging from high-achieving Class 1 to emerging Class 3 cities. …"
  3. 203

    IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture حسب Moutaz Alazab (17730060)

    منشور في 2025
    "…The IoMT manufacturers need to offer their products at a competitive price, which forces them to use simplified architecture, leaving limited and, to some extent, no scope to employ sophisticated cybersecurity algorithms. …"
  4. 204

    A comparison of optimization heuristics for the data mapping problem حسب Mansour, Nashat

    منشور في 1997
    "…In this paper we compare the performance of six heuristics with suboptimal solutions for the data mapping problem of two dimensional meshes that are used for the numerical solution of Partial Differential Equations(PDEs) on multicomputers. …"
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    article
  5. 205

    Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

    منشور في 2022
    "…Although the sensed data could be useful for various applications (e.g., event detection in cities, energy management in commercial buildings), it first requires pre-processing to clean various inconsistencies (e.g., anomalies, redundancies, missing values). …"
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    article
  6. 206
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    A method for the minimum coloring problem using genetic algorithms حسب Harmanani, Haidar

    منشور في 2006
    "…The algorithm was implemented and tested on various set of instances including large DIMACS challenge benchmark graphs, all yielding favorable results.…"
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  9. 209

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem حسب Harmanani, Haidar M.

    منشور في 2002
    "…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. …"
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    article
  10. 210
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    Time-varying volatility model equipped with regime switching factor: valuation of option price written on energy futures حسب Leduc, Guillaume

    منشور في 2025
    "…To determine the parameters of the regime switching model and identify when economic states change, we employ the EM algorithm, utilizing real gas futures price data. We validate our closed-form solution for the option pricing through simulations employing the generalized antithetic variates Monte-Carlo technique. …"
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    article
  12. 212

    A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

    منشور في 2016
    "…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …"
  13. 213

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…The algorithm is tested using 200 randomly generated 2-variable 4-valued functions. …"
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    article
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    A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem حسب Mantawy, A. H.

    منشور في 2020
    "…The simulated annealing is used to solve the combinatorial part of the unit commitment problem, while the nonlinear part of the problem is solved via a quadratic programming routine. A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. …"
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    article
  19. 219

    A simulated annealing algorithm for fuzzy unit commitment problem حسب Mantawy, A.H.

    منشور في 1999
    "…The simulated annealing is used to solve the combinatorial part of the unit commitment problem, while the nonlinear part of the problem is solved via a quadratic programming routine. A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. …"
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  20. 220

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

    منشور في 2021
    "…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"