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Showing 281 - 300 results of 349 for search '(( algorithm machine function ) OR ((( algorithm fa function ) OR ( algorithm a function ))))', query time: 0.10s Refine Results
  1. 281
    CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction

    CFD Based Airfoil Shape Optimization for Aerodynamic Drag Reduction by Khot, Mohammed Taha Shafiq

    Published 2012
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  2. 282
    The maximum common subgraph problem

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

    Published 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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  3. 283
    Simulations of the penetration of 6061-T6511 aluminum targets by spherical-nosed VAR 4340 steel projectiles

    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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  4. 284
    Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013)

    Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013) by Hilal, Nathalie

    Published 2013
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  5. 285
    Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks

    Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks by Zahidi, Sarah Hussain

    Published 2013
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  6. 286
    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks

    Optimized 3D Deployment of UAV-Mounted Cloudlets to Support Latency-Sensitive Services in IoT Networks by Islambouli, Rania

    Published 2019
    “…We formulate the problem as a mixed integer program, and propose an efficient meta-heuristic solution based on the ions motion optimization algorithm. …”
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  7. 287
    On-demand deployment of multiple aerial base stations for traffic offloading and network recovery

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

    Published 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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  8. 288
    Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation

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

    Published 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. …”
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  9. 289
    Estimating Bridge Deterioration Age Using Artificial Neural Networks

    Estimating Bridge Deterioration Age Using Artificial Neural Networks by AL HUSSEIN, ASEEL

    Published 2017
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  10. 290
    Optimized provisioning of edge computing resources with heterogeneous workload in IoT networks

    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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  11. 291
    Online Control and Optimization of Directional Drilling

    Online Control and Optimization of Directional Drilling by unknown

    Published 2020
    “…Secondly, the autonomous quad-rotor DSS which has 4 downhole motors, is considered. In this work, a novel feedback linearization controller to cancel the nonlinear dynamics of a DSS is proposed. …”
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  12. 292
    Blood Glucose Regulation Modelling and Intelligent Control

    Blood Glucose Regulation Modelling and Intelligent Control by Nasar, Nabeel

    Published 2024
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  13. 293
    Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing

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

    Published 2023
    “…To determine the optimized size, a firefly optimization algorithm is used as an efficient meta-heuristic approach. …”
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  14. 294
    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network

    Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

    Published 2020
    “…The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”
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  15. 295
    Improving the Resilience of Smart Distribution Networks against Cyber Attacks

    Improving the Resilience of Smart Distribution Networks against Cyber Attacks by ElYamani, Mohamed ElHusseiny Mohamed

    Published 2022
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  16. 296
    Scatter search for homology modeling

    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …”
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  17. 297
    Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment

    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. …”
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  18. 298
    Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System

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

    Published 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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  19. 299
    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems

    Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems by Shaik Rafikiran (15838929)

    Published 2023
    “…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …”
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  20. 300
    Regression testing web services-based applications

    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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