يعرض 241 - 260 نتائج من 348 نتيجة بحث عن '(((( algorithm time function ) OR ( algorithm where function ))) OR ( algorithm a function ))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 241
  2. 242

    Fragment based protein structure prediction. (c2013) حسب Terzian, Meghrig Ohanes

    منشور في 2016
    "…The method is based on a two-phase Scatter Search metaheuristic that minimizes the energy function. …"
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    masterThesis
  3. 243
  4. 244

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

    منشور في 2023
    "…In the predicted model, an analytical framework is created to operate the robot within predetermined areas while maximizing communication ranges. 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. …"
  5. 245

    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
  6. 246

    Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles حسب Warren, Thomas

    منشور في 2000
    "…In the context of an analysis code, this approximation eliminates the need for discretizing the target as well as the need for a contact algorithm. Thus, this method substantially reduces the computer time and memory requirements. …"
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    article
  7. 247

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks حسب Abbas, Nadine

    منشور في 2018
    "…We generate results as a function of a wide range of system parameters, and demonstrate that the proposed algorithms achieve near-optimal performance with notably low time complexity.…"
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    article
  8. 248

    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery حسب Sharafeddine, Sanaa

    منشور في 2019
    "…We present performance results for the proposed algorithm as a function of various system parameters and demonstrate its effectiveness compared to the close-to-optimal greedy approach and its superiority compared to recent related work from the literature.…"
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    article
  9. 249
  10. 250

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers حسب Ali Sharida (17947847)

    منشور في 2023
    "…OSF is tolerated by changing the switching function based on the location of the fault. Second, the voltage and current sensor fault is detected when the DT provides a specific amplitude of currents while the physical sensors do not provide a correct measurement. …"
  11. 251

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For such high-dimension data our approach outperforms the Synthetic Minority Oversampling Technique for Regression (SMOTER) algorithm for the IMDB-WIKI and AgeDB image datasets. …"
  12. 252

    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks حسب Kherraf, Nouha

    منشور في 2019
    "…We analyze the effectiveness of the proposed algorithm through extensive simulations and highlight valuable performance trends and trade-offs as a function of various system parameters.…"
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    article
  13. 253

    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. 254

    Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing حسب Mohammadreza Gholami (17032317)

    منشور في 2023
    "…To determine the optimized size, a firefly optimization algorithm is used as an efficient meta-heuristic approach. …"
  15. 255

    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
    "…To explain such interesting feature, we suggest a type of analytic continuation where the parametrized divergent hypergeometric series is represented as a finite sum over entire hypergeometric functions. …"
  16. 256

    Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

    منشور في 2024
    "…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …"
  17. 257

    Regression testing web services-based applications حسب Tarhini, Abbas

    منشور في 2006
    "…Our algorithm selects every test sequence that corresponds to a different behavior in the modified system. …"
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    conferenceObject
  18. 258

    Power matching approach for GPS coverage extension حسب Saab, Samer S.

    منشور في 2006
    "…The algorithm, based on a statistical measure, correlates the received power from different GPS satellite vehicles (SVs), which leads to a specific signature, i.e., to a topographical database with periodic time-varying estimates of the received powers of SVs. …"
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    article
  19. 259

    EVOLUTIONARY HEURISTICS FOR MULTIOBJECTIVE VLSI NETLIST BI-PARTITIONING حسب Sait, Sadiq M.

    منشور في 2020
    "…Furthermore, with current trends partitioning has become a multi-objective problem, where power, delay and area in addition to minimum cut, need to be optimized. …"
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    article
  20. 260

    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

    منشور في 2024
    "…Furthermore, the confusion matrix validates the random forest classification model's accuracy. At the same time, the mean square error value serves as the loss function for the ANN model (i.e., the loss function values were 2.84 × 10<sup>−7</sup> and 6.40 × 10<sup>−7</sup>, respectively, for X1 and X2 loading conditions at 45° angle). …"