Showing 12,381 - 12,400 results of 28,739 for search '"computability"', query time: 0.28s Refine Results
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    Training and Testing Data Division Influence on Hybrid Machine Learning Model Process: Application of River Flow Forecasting by Hai Tao, Ali Omran Al-Sulttani, Ameen Mohammed Salih Ameen, Zainab Hasan Ali, Nadhir Al-Ansari, Sinan Q. Salih, Reham R. Mostafa

    Published 2020-01-01
    “…Several statistical indicators are computed to verify the performance of the models. The results revealed the potential of the hybridized support vector regression model with a genetic algorithm (SVR-GA) over the other ML forecasting models for monthly river flow forecasting using 90%–10% data division. …”
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    Effective Variational Data Assimilation in Air-Pollution Prediction by Rossella Arcucci, Christopher Pain, Yi-Ke Guo

    Published 2018-12-01
    “…The Empirical Orthogonal Functions (EOFs) method is used to alleviate the computational cost and reduce the space dimension. Experimental results are provided assuming observed values provided by sensors from positions mainly located on roofs of buildings.…”
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    XI2S-IDS: An Explainable Intelligent 2-Stage Intrusion Detection System by Maiada M. Mahmoud, Yasser Omar Youssef, Ayman A. Abdel-Hamid

    Published 2025-01-01
    “…The rapid evolution of technologies such as the Internet of Things (IoT), 5G, and cloud computing has exponentially increased the complexity of cyber attacks. …”
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    Tailoring convolutional neural networks for custom botanical data by Jamie R. Sykes, Katherine J. Denby, Daniel W. Franks

    Published 2025-01-01
    “…Abstract Premise Automated disease, weed, and crop classification with computer vision will be invaluable in the future of agriculture. …”
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    Cuckoo Search with Lévy Flights for Weighted Bayesian Energy Functional Optimization in Global-Support Curve Data Fitting by Akemi Gálvez, Andrés Iglesias, Luis Cabellos

    Published 2014-01-01
    “…By global-support curves we mean curves expressed as a linear combination of basis functions whose support is the whole domain of the problem, as opposed to other common approaches in CAD/CAM and computer graphics driven by piecewise functions (such as B-splines and NURBS) that provide local control of the shape of the curve. …”
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    A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning by E. Sreehari, L. D. Dhinesh Babu

    Published 2025-02-01
    “…The proposed method utilized computational problem solvers such as chi-square, mutual information, correlation, and rank-dense methods. …”
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