يعرض 61 - 80 نتائج من 550 نتيجة بحث عن '(( settlement data algorithm ) OR ((( data learning algorithm ) OR ( solved using algorithm ))))', وقت الاستعلام: 0.13s تنقيح النتائج
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    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

    منشور في 2022
    "…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
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  4. 64

    Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

    منشور في 2016
    "…Classification consists of predicting group membership for new data instances by learning from pre-classified data instances. …"
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    masterThesis
  5. 65

    A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

    منشور في 2019
    "…Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"
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    The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

    منشور في 2023
    "…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …"
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    A matheuristic approach for solving the 2-connected dominating set problem حسب Raka Jovanovic (17947838)

    منشور في 2019
    "…<p dir="ltr">This paper describes a matheuristic approach for solving the 2-connected dominating set problem (2-CDS). …"
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    The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs حسب Muhammad Kashif (3923483)

    منشور في 2023
    "…However, the integration of quantum computing and machine learning poses several challenges. One of the prominent challenges lies in the presence of barren plateaus (BP) in QML algorithms, particularly in quantum neural networks (QNNs). …"
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    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms حسب Md Ferdous Wahid (13485799)

    منشور في 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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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…<p>Machine learning algorithms have been intensively applied to perform load forecasting to obtain better accuracies as compared to traditional statistical methods. …"
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    Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights حسب Malekloo, Arman

    منشور في 2021
    "…Machine learning (ML) algorithms are thus providing the necessary tools to augment the capabilities of SHM systems and provide intelligent solutions for the challenges of the past. …"
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    article
  16. 76

    Salp swarm algorithm: survey, analysis, and new applications حسب Abualigah, Laith

    منشور في 2024
    "…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …"
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  17. 77

    Optimal multiobjective design of robust power system stabilizers using genetic algorithms حسب Abdel-Magid, Y.L.

    منشور في 2003
    "…Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. …"
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    article
  18. 78

    Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System حسب Abu Zitar, Raed

    منشور في 2021
    "…We research and test the design of the right neural networks that achieves our goal. A modern algorithm was improvised for this reason. For our proposed recommendation system, a database program was created to store data and include details in the analysis of course learning outcomes. …"
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