Showing 121 - 140 results of 200 for search '(( algorithm from function ) OR ((( algorithms within function ) OR ( algorithm its function ))))', query time: 0.12s Refine Results
  1. 121

    A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System by Ekinci, Serdar

    Published 2023
    “…We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm, gravitational search algorithm, African vultures optimization, and the Aquila Optimizer using well-known unimodal, multimodal benchmark functions. …”
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  2. 122

    Optimizing clopidogrel dose response by Saab, Yolande B.

    Published 2016
    “…Purpose Response to clopidogrel varies widely with nonresponse rates ranging from 4% to 30%. A reduced function of the gene variant of the CYP2C19 has been associated with lower drug metabolite levels, and hence diminished platelet inhibition. …”
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  3. 123

    On the parameterized parallel complexity and the vertex cover problem by Abu-Khzam, Faisal N.

    Published 2016
    “…For a problem to be in FPPT, it should possess an efficient parallel algorithm not only from a theoretical standpoint but in practice as well. …”
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  4. 124

    Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques by Kais Abdulmawjood (17947784)

    Published 2025
    “…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …”
  5. 125

    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

    Published 2023
    “…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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  6. 126

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

    Published 2017
    “…This is made possible by exploiting an efficient decomposition of a graph into a minimum vertex cover and the maximum independent set in its complement. 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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  7. 127

    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

    Published 2019
    “…<p dir="ltr">The Cypher Physical Power Systems (CPPS) became vital targets for intruders because of the large volume of high speed heterogeneous data provided from the Wide Area Measurement Systems (WAMS). The Nonnested Generalized Exemplars (NNGE) algorithm is one of the most accurate classification techniques that can work with such data of CPPS. …”
  8. 128

    Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks by Mohamed Amjath (17542512)

    Published 2022
    “…<p>Material handling systems (MHS) are integral to logistics functions by providing various supports such as handling, moving, and storing materials in manufacturing and service organisations. …”
  9. 129
  10. 130

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

    Published 2000
    “…In this paper a forcing function which is derived from a spherical-cavity expansion (SCE) analysis has been implemented in a transient dynamic finite element code. …”
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    article
  11. 131

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

    Published 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
  12. 132

    Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller by Abualigah, Laith

    Published 2024
    “…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …”
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  13. 133
  14. 134

    Regression testing web services-based applications by Tarhini, Abbas

    Published 2006
    “…Our algorithm selects every test sequence that corresponds to a different behavior in the modified system. …”
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  15. 135
  16. 136

    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment by Farhat Mahmood (15468854)

    Published 2023
    “…A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …”
  17. 137

    Reinforcement Learning-Based School Energy Management System by Yassine Chemingui (18891757)

    Published 2020
    “…In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …”
  18. 138

    Online Control and Optimization of Directional Drilling by unknown

    Published 2020
    “…The objective function considered is to minimize the tracking error and drilling efforts. …”
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    masterThesis
  19. 139

    Fixed set search applied to the multi-objective minimum weighted vertex cover problem by Raka Jovanovic (17947838)

    Published 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. …”
  20. 140

    Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility by Islambouli, Rania

    Published 2019
    “…We present performance results for the algorithm as a function of various system parameters assuming a random walk mobility model. …”
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