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    Neural Network-Based Descent Control for Landers with Sloshing and Mass Variation: A Cascade and Adaptive PID Strategy by Angel Guillermo Ortega, Afroza Shirin

    Published 2024-12-01
    “…To improve the model’s accuracy, we have introduced time delays caused by fluid dynamics and actuator response, modeled via computational fluid dynamics (CFD). …”
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    Machine Learning Analysis of Hydrological and Hydrochemical Data from the Abelar Pilot Basin in Abegondo (Coruña, Spain) by Javier Samper-Pilar, Javier Samper-Calvete, Alba Mon, Bruno Pisani, Antonio Paz-González

    Published 2025-03-01
    “…Groundwater flow from five days prior to the current date, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>Q</mi></mrow><mrow><mi>g</mi><mn>5</mn></mrow></msub></mrow></semantics></math></inline-formula>, is the most important input parameter of the TS-GPR model. …”
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