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Showing 21 - 40 results of 382 for search '(( time modeling algorithm ) OR ((( element based algorithm ) OR ( element data algorithm ))))', query time: 0.16s Refine Results
  1. 21
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…XML datasets of various sizes and properties are needed to evaluate the correctness and efficiency of XML-based algorithms and applications. While several downloadable datasets can be found online, these are predefined by system experts and might not be suitable to evaluate every algorithm. …”
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  2. 22
    A reduced model for phase-change problems with radiation using simplified PN approximations

    A reduced model for phase-change problems with radiation using simplified PN approximations by Belhamadia, Youssef

    Published 2025
    “…A Newton-based algorithm is also adopted for solving the nonlinear systems resulting from the considered monolithic approach. …”
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  3. 23
    A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System

    A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System by Ameema Zainab (16864263)

    Published 2021
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  4. 24
    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link

    Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

    Published 2023
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  5. 25
    On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise

    On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise by Saab, Samer S.

    Published 2005
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  6. 26
    Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic

    Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

    Published 2025
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  7. 27
    Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series

    Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series by Lasfer, Assia

    Published 2013
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  8. 28
    Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines

    Incremental and Heuristic Algorithms for Deriving Adaptive Distinguishing Test Cases for Nondeterministic Finite State Machines by Saleh, Ayat

    Published 2017
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  9. 29
    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm

    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

    Published 2024
    “…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …”
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  10. 30
    Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems

    Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems by Shehabeldin, Menatalla Diaaeldin

    Published 2015
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  11. 31
    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

    Published 2021
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  12. 32
    Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers

    Acoustic Based Localization of Partial Discharge Inside Oil-Filled Transformers by Hamidreza Besharatifard (16904823)

    Published 2022
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  13. 33
    Prediction of EV Charging Behavior Using Machine Learning

    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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  14. 34
    Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010)

    Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) by Ghalayini, Iman Adnan

    Published 2010
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  15. 35
    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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  16. 36
    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

    Published 2022
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  17. 37
    One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models

    One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models by Osman, Ahmed

    Published 2016
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  18. 38
    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices

    Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices by Khawam, Yahya Bader

    Published 2016
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  19. 39
    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

    Published 2025
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  20. 40
    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net

    A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net by Sania Gul (18272227)

    Published 2023
    “…We will discuss the need for AE, U-Net comparison to other DNNs, the benefits of converting the audio to 2D, input representations that are useful for different AE applications, the architecture of vanilla U-Net and the pre-trained models, variations in vanilla architecture incorporated in different E models, and the state-of-the-art AE algorithms based on U-Net in various applications. …”
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