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Showing 1 - 20 results of 539 for search '(((( implementing surface algorithm ) OR ( elements deer algorithm ))) OR ( a learning algorithm ))', query time: 0.15s Refine Results
  1. 1
    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins

    DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

    Published 2025
    “…ObjectiveThis study utilized various classical machine learning techniques, such as support vector machines, k-nearest neighbors, and random forests, in conjunction with a modified deep learning approach called DeepRaman. …”
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  2. 2
    A discrete-time learning control algorithm

    A discrete-time learning control algorithm by Saab, Samer S.

    Published 1994
    “…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …”
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  3. 3
    A stochastic iterative learning control algorithm with application to an induction motor

    A stochastic iterative learning control algorithm with application to an induction motor by Saab, Samer S.

    Published 2004
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …”
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  4. 4
    Estimating Construction Project Duration Using a Machine Learning Algorithm

    Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

    Published 2024
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  5. 5
    Discrete-time learning control algorithm for a class of nonlinear systems

    Discrete-time learning control algorithm for a class of nonlinear systems by Saab, Samer S.

    Published 1995
    “…Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. …”
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  6. 6
    Teaching–learning-based optimization algorithm: analysis study and its application

    Teaching–learning-based optimization algorithm: analysis study and its application by Abualigah, Laith

    Published 2024
    “…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …”
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  7. 7
    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems

    A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems by Saab, S. S.

    Published 2005
    “…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …”
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  8. 8
    A discrete-time learning control algorithm for a class of linear time-invariant systems

    A discrete-time learning control algorithm for a class of linear time-invariant systems by Saab, Samer S.

    Published 1995
    “…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …”
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  9. 9
    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text

    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

    Published 2019
    “…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …”
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  10. 10
    Learning control algorithms for tracking "slowly" varying trajectories

    Learning control algorithms for tracking "slowly" varying trajectories by Saab, Samer S.

    Published 1997
    “…This is due to the requirement that all learning algorithms assume that a desired output is given a priori over the time duration t /spl isin/ ~0,T\. …”
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  11. 11
    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise

    Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise by Saab, Samer S.

    Published 2005
    “…The state function does not need to satisfy a Lipschitz condition. This work also provides a recursive algorithm that generates the appropriate learning gain functions that meet the arbitrary high precision output tracking objective. …”
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  12. 12
    Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems

    Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems by Saab, Samer S.

    Published 1999
    “…In this paper, we apply a discrete‐time learning algorithm to a class of discrete‐time varying nonlinear systems with affine input action and linear output having relative degree one. …”
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  13. 13
    Multiclass feature selection with metaheuristic optimization algorithms: a review

    Multiclass feature selection with metaheuristic optimization algorithms: a review by Abu Zitar, Raed

    Published 2022
    “…For this reason, this paper presents a systematic survey of literature for solving multiclass feature selection problems utilizing metaheuristic algorithms that can assist classifiers selects optima or near optima features faster and more accurately. …”
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  14. 14
    Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms

    Detection of Depression in Arabic Social Media: A Comparison of Traditional and Modern Machine Learning Algorithms by ALSHEHHI, OMAR KHALID HAMAD

    Published 2023
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  15. 15
    Optimal selection of the forgetting matrix into an iterative learning control algorithm

    Optimal selection of the forgetting matrix into an iterative learning control algorithm by Saab, Samer S.

    Published 2005
    “…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the optimal forgetting matrix and the learning gain matrix of a P-type iterative learning control (ILC) for linear discrete-time varying systems with arbitrary relative degree. …”
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  16. 16
    Exploring Semi-Supervised Learning Algorithms for Camera Trap Images

    Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

    Published 2022
    “…A Master of Science thesis in Computer Engineering by Ali Reza Sajun entitled, “Exploring Semi-Supervised Learning Algorithms for Camera Trap Images”, submitted in August 2022. …”
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  17. 17
    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms

    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

    Published 2022
    “…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …”
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  18. 18
    A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems

    A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems by Faria Nawshin (21841598)

    Published 2025
    “…</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Transactions on Consumer Electronics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/tce.2025.3577905" target="_blank">https://dx.doi.org/10.1109/tce.2025.3577905</a></p>…”
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  19. 19
    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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  20. 20
    Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction

    Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction by Syed Mohammad (21075689)

    Published 2025
    “…In summary, the current study provides a machine learning framework for computation cardiotoxicity assessment by analysis of the hERG blocker concentration cut-offs using different fingerprints at multiple thresholds.…”
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