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Showing 181 - 200 results of 351 for search '(((( algorithms a function ) OR ( algorithm fa function ))) OR ( algorithm using function ))', query time: 0.14s Refine Results
  1. 181
    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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  2. 182
    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks

    Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks by Daou, Leonardo

    Published 2024
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  3. 183
    Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches

    Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches by Mohammad, Areej Osama

    Published 2021
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  4. 184
    Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network

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

    Published 2024
    “…Advanced machine learning algorithms are used in this study to figure out the complicated relationship between the crashworthiness parameters of the hexagonal composite ring specimens under lateral compressive, energy absorption, and failure modes. …”
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  5. 185
    Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks

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

    Published 2022
    “…This study proposes an analytical method based on sequential quadratic programming (SQP) methodology coupled with a mean value analysis (MVA) algorithm to solve this NP-Hard problem. …”
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  6. 186
    StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features

    StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features by Muhammad Arif (769250)

    Published 2024
    “…Thus, the shortcomings of wet lab experiments are leveraged by computational methods to accurately predict the functional types of DPs. In this paper, we aim to propose a novel multi-class ensemble-based prediction model called StackDPPred for identifying the properties of DPs. …”
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  7. 187
    Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier

    Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier by JAIN, SWETA

    Published 2023
    “…The hyper parameters are optimized with DM optimization algorithm which improves the accuracy of classifier. …”
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  8. 188
    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle

    Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle by Reza Jafari (3494018)

    Published 2025
    “…The proposed DRL controllers are benchmarked against model-based controllers, i.e., linear quadratic regulator with the sequential quadratic programming (LSQP) and sliding mode control with SQP (SSQP). A tailored multi-term reward function is structured to penalize excessive yaw rate error, sideslip angle, tire slip deviations beyond peak grip regions, and power losses based on a realistic electric machine efficiency map. …”
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  9. 189
    Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques

    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. …”
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  10. 190
    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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  11. 191
    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling

    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling by Armin, Amindari

    Published 2017
    “…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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  12. 192
    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling

    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling by Amindari, Armin

    Published 2017
    “…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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  13. 193
    A modified optimal design of a vibration absorber for ground motion isolation

    A modified optimal design of a vibration absorber for ground motion isolation by Issa, Jimmy S.

    Published 2014
    “…For a given stiffness ratio of the system, the optimal mass and damping ratios are obtained analytically using an optimization method based on invariant points of the objective function. …”
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  14. 194
    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO

    Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO by Majedeh Gheytanzadeh (17541927)

    Published 2022
    “…Accordingly, a dataset containg 258 data points was extracted from the DFT method to use in machine learning method. …”
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  15. 195
    Design and Optimization of a Planar Cable Robot

    Design and Optimization of a Planar Cable Robot by Kassem, Mohamad Hassan

    Published 2020
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  16. 196
    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model

    Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model by Ramesh Sundar (19326046)

    Published 2024
    “…<p>This work aims to provide an effective hybrid beam forming method with Dual-Deep-Network to overcome overhead for mm-wave massive MIMO systems. In this paper, a Dual-Deep-Network technique is described for the extraction of statistical structures from a hybrid beam forming model based on mmWave logics, as well as training logic for the network map functions. …”
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  17. 197
    A quadratic kernel for 3-set packing

    A quadratic kernel for 3-set packing by Abu-Khzam, Faisal N.

    Published 2017
    “…We present a reduction procedure that takes an arbitrary instance of the 3-Set Packing problem and produces an equivalent instance whose number of elements is bounded by a quadratic function of the input parameter. …”
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  18. 198
    Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme

    Simultaneous analysis of frequency and voltage control of the interconnected hybrid power system in presence of FACTS devices and demand response scheme by Sudhanshu Ranjan (17151115)

    Published 2021
    “…System responses have been critically analyzed under Mine Blast Algorithm (MBA) based proportional–integral–derivative (PID) controllers</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Reports<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.egyr.2021.10.100" target="_blank">https://dx.doi.org/10.1016/j.egyr.2021.10.100</a></p>…”
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  19. 199
    Parallel tabu search in a heterogeneous environment

    Parallel tabu search in a heterogeneous environment by Al-Yamani, A.

    Published 2003
    “…We discuss a parallel tabu search algorithm with implementation in a heterogeneous environment. …”
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  20. 200
    Machine Learning Model for a Sustainable Drilling Process

    Machine Learning Model for a Sustainable Drilling Process by Alsaidi, Ola

    Published 2023
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