يعرض 161 - 180 نتائج من 233 نتيجة بحث عن '(((( algorithm fa function ) OR ( algorithm 1 function ))) OR ( algorithms within function ))', وقت الاستعلام: 0.10s تنقيح النتائج
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    HPTS: heterogeneous parallel tabu search for VLSI placement حسب Al-Yamani, A.

    منشور في 2002
    "…Two parallelization strategies, i.e., functional decomposition and multi-search thread strategies are integrated. …"
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    article
  4. 164
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    A New Hamiltonian Semi-Analytical Approach to Vibration Analysis of Piezoelectric Multi-Layered Plates حسب Andrianarison, O.

    منشور في 2024
    "…By performing a Legendre Transform, the classical Lagrangian functional is recast into a Hamiltonian one, so that the resulting variational formulation can be expressed in terms of the displacements and electric potential and their transverse stresses and electric displacement dual variables. …"
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    article
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    Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes حسب Radhakrishnan Vishnubalaji (3563306)

    منشور في 2023
    "…Differential expression and gene set enrichment analysis in TNBC revealed enrichment in the cycle and mitosis functional categories in FDPShigh, while ENO1high was associated with numerous functional categories, including cell cycle, glycolysis, and ATP metabolic processes. …"
  8. 168

    The maximum common subgraph problem حسب Abu-Khzam, Faisal N.

    منشور في 2017
    "…The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…"
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    conferenceObject
  9. 169

    Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation حسب Hariprasath Manoharan (14157966)

    منشور في 2023
    "…Additionally, a clustering algorithm with a fuzzy membership function is implemented, allowing the robots to advance in accordance with predefined clusters and arrive at their starting place within a predetermined amount of time. …"
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    Regression testing web services-based applications حسب Tarhini, Abbas

    منشور في 2006
    "…We discuss three situations for applying this algorithm: (1) connecting to a newly established web service that fulfills a composed web service, (2) adding or removing an operation in any of the composed web services, (3) modifying the specification of the web application. …"
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    conferenceObject
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    Entire hypergeometric approximants for the ground state energy perturbation series of the quartic, sextic and octic anharmonic oscillators حسب I.S. Elkamash (16810689)

    منشور في 2023
    "…Besides, in literature, we barely can find a resummation algorithm for which the convergence is faster for stronglydivergent ( Gevrey − k , k > 1) series than a divergent one ( Gevrey − 1 ). …"
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    Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

    منشور في 2020
    "…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …"
  14. 174

    Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System حسب Alaa Altawallbeh (22565837)

    منشور في 2025
    "…Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. We further propose a hybrid Particle Swarm Optimization (PSO) algorithm with a multi-objective cost function to optimize VSG controller gains. …"
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    Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

    منشور في 2022
    "…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. …"
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