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Showing 181 - 200 results of 419 for search '(((( develop ppo algorithm ) OR ( elements data algorithm ))) OR ( data models algorithm ))', query time: 0.12s Refine Results
  1. 181
    A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)

    A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) by Kozhaya, David Elias

    Published 2011
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  2. 182
    Modelling Exchange Rates during Currency Crisis using Neural Networks

    Modelling Exchange Rates during Currency Crisis using Neural Networks by Nasr, G. E.

    Published 2006
    “…Exchange rate data from the Lebanese currency crisis period of 1985-1992 is used for training, testing and evaluation of the models. …”
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  3. 183
    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes

    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes by Wadi, Ali

    Published 2019
    “…The results suggest that the proposed algorithm, the optimal Kalman filter, performs well in modeling acoustically activated drug release from liposomes.…”
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  4. 184
    Scatter search metaheuristic for homology based protein structure prediction. (c2015)

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

    Published 2015
    “…We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …”
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  5. 185
    Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications

    Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications by Estahbanati, Shahabeddin Vamegh

    Published 2017
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  6. 186
    Deep learning-based user experience evaluation in distance learning

    Deep learning-based user experience evaluation in distance learning by Rahim Sadigov (17714301)

    Published 2023
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  7. 187
    A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation

    A Hybrid Fault Detection and Diagnosis of Grid-Tied PV Systems: Enhanced Random Forest Classifier Using Data Reduction and Interval-Valued Representation by Khaled Dhibi (16891524)

    Published 2021
    “…In the proposed FDD approach, named interval reduced kernel PCA (IRKPCA)-based Random Forest (IRKPCA-RF), the feature extraction and selection phase is performed using the IRKPCA models while the fault classification is ensured using the RF algorithm. …”
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  8. 188
    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

    Published 2022
    “…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …”
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  9. 189
    Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant

    Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant by ALMutawa, J.

    Published 2007
    “…The proposed algorithm has been applied to a heat exchanger data.…”
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  10. 190
    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System

    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System by Kouatli, Issam

    Published 2016
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  11. 191
    AI-based remaining useful life prediction and modelling of seawater desalination membranes

    AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

    Published 2024
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  12. 192
    The use of multi-task learning in cybersecurity applications: a systematic literature review

    The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

    Published 2024
    “…Cybersecurity has become vital in information technology, with data protection being a major priority. Despite government and corporate efforts, cybersecurity remains a significant concern. …”
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  13. 193
    Developing a UAE-Based Disputes Prediction Model using Machine Learning

    Developing a UAE-Based Disputes Prediction Model using Machine Learning by Abu Laila, Ibrahim Wasef Subhi

    Published 2022
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  14. 194
    From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors

    From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors by Michael R. Giordano (9976173)

    Published 2021
    “…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. Here we review the needs and challenges when trying to get high-quality data from low-cost sensors. …”
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  15. 195
    Stacking-based ensemble learning for remaining useful life estimation

    Stacking-based ensemble learning for remaining useful life estimation by Begum Ay Ture (17773170)

    Published 2023
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  16. 196
    Energy-aware adaptive compression for mobile devices. (c2009)

    Energy-aware adaptive compression for mobile devices. (c2009) by Maddah, Rakan

    Published 2009
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  17. 197
    Practical Multiple Node Failure Recovery in Distributed Storage Systems

    Practical Multiple Node Failure Recovery in Distributed Storage Systems by Itani, M.

    Published 2016
    “…The problem is solved using genetic algorithms that search within the feasible solution space. …”
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  18. 198
    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants

    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants by Khan, T.

    Published 2006
    “…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …”
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  19. 199
    Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry

    Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry by Issa, Leila

    Published 2016
    “…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …”
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  20. 200
    Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices

    Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices by Aya Hasan Alkhereibi (17151070)

    Published 2025
    “…The methodology involves data preparation with <u>imputation</u> and normalization, followed by training 9 supervised ML models. …”
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