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Application of a Bicubic Quasi-Uniform B-Spline Surface Fitting Method for Characterizing Mesoscale Eddies in the Atlantic Ocean
Published 2025-08-01“…The results show strong agreement with in situ measurements, yielding a mean absolute error (MAE) of 1.89 cm and a root mean square error (RMSE) of 3.02 cm. …”
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Sliding-mode control based on prescribed performance function and its application to a SEA-Based lower limb exoskeleton
Published 2025-03-01“…The controller design aims to maintain the tracking error in a predefined convergence zone described by a performance function. …”
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Numerical Solution of First-Order Linear Differential Equations in Fuzzy Environment by Runge-Kutta-Fehlberg Method and Its Application
Published 2016-01-01“…The method is also followed by complete error analysis. The method is illustrated by solving an example and an application.…”
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Forecasting the Remaining Useful Life of Lithium-Ion Batteries Using Machine Learning Models—A Web-Based Application
Published 2025-05-01“…The work creates a scalable and web-based application for RUL prediction by utilizing predictive models like Long Short-Term Memory (LSTM), Linear Regression (LR), Artificial Neural Network (ANN), and Random Forest with Extra Trees Regressor (RF with ETR) with results in Mean Square Error (MSE) as accuracy as 96%, 97%, 98% and 99% respectively. …”
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Application of blade element momentum theory with guaranteed convergence to analyze a straight-blade horizontal axis wind turbine
Published 2025-06-01“…The obtained results show that the improved BEM method can be applied to calculate the mechanical power output of straight-blade turbines with errors of less than 10% compared to reality. This thereby proves the applicability of the improved BEM method to solve practical problems of small wind turbines.…”
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Design of Four-Plate Parallel Dynamic Capacitive Wireless Power Transfer Coupler for Mobile Robot Wireless-Charging Applications
Published 2025-01-01“…This theoretical approach was validated through equivalent circuit models, yielding results consistent with 3D full-wave simulations and showing an error rate of less than 1%. Additionally, a null-power point characteristic, where efficiency sharply decreases when the receiver moves outside the transmitter’s range, was observed. …”
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Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data
Published 2025-04-01“…By providing this labelled dataset for deep learning model training, this can facilitate the development of automated systems, capable of detecting subsurface anomalies effectively, which could reduce manual errors.…”
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Application of the Simple Additive Weighting Method in the Selection Process for Recipients of the 1000 Anak Negeri Scholarship at Nusa Putra University
Published 2025-03-01“…The automated approach reduces processing time, minimizes human errors, and ensures systematic selection based on predefined criteria. …”
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Application of DTCWT Decomposition and Partial Differential Equation Denoising Methods in Remote Sensing Image Big Data Denoising and Reconstruction
Published 2022-01-01“…The experimental results show that the normalized root mean square error of the denoising model designed in this study after training convergence is 0.02. …”
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