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A Data-Driven Framework for Accelerated Modeling of Stacking Fault Energy from Density of States Spectra
Published 2025-04-01Get full text
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Data-Driven Pavement Performance: Machine Learning-Based Predictive Models
Published 2025-04-01Get full text
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Building and explaining data-driven energy demand models for Indian states
Published 2025-01-01“…In this study, we develop state-level data driven models to predict weather-driven energy demand across India using the eXtreme Gradient Boosting framework. …”
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Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation
Published 2024-12-01Subjects: Get full text
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Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.
Published 2017-02-01“…It also includes a model reduction step to prune spurious interactions and mitigate overfitting. …”
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Data-driven intelligent productivity prediction model for horizontal fracture stimulation
Published 2025-08-01“…To address the limitations and shortcomings of existing post-fracturing performance prediction methods for horizontal fractures, a horizontal fracture well productivity prediction model was established by combining physical mechanisms with data-driven approaches. …”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones
Published 2025-08-01Subjects: Get full text
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A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems
Published 2025-06-01“…This study presents a data-driven approach to model and optimize EC in welding robot systems, utilizing a dataset generated from real-world measurements of robot EC during various motions and integrated with trajectory data. …”
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AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach
Published 2025-09-01“…The study focuses on identifying the most informative features from time, frequency, and wavelet domains, followed by dimensionality reduction using Principal Component Analysis (PCA) and Correlation Analysis (CA) to enhance classification performance, reduce complexity, and improve model interpretability. …”
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Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces
Published 2024-11-01“…A data-driven method, namely a sensitivity analysis based on the Kriging model, is proposed along with three design space variation schemes (scaling, translation, and their combination) to evaluate the influence of geometric parameters on the objective function under varying design spaces. …”
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Data-driven tube model predictive control of autonomous agricultural tractors for cross-slope navigation
Published 2025-03-01Get full text
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Data-Driven Computational Methods in Fuel Combustion: A Review of Applications
Published 2025-06-01Get full text
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A Reduced-Order Model of Lithium–Sulfur Battery Discharge
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Data-driven modelling method and application based on energy multi-layer network structure of energy hub
Published 2025-04-01Get full text
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Forecasting Urban Agglomeration Air Quality: A Data-Driven Model With the Gaussian Decoupled Representation Extractor
Published 2024-01-01“…The model, using a data-driven approach, segregates the air-quality time series by quantifying and decoding the heterogeneous constituents of time, location, and origin variables embedded in air-quality data. …”
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Data-driven model predictive control for irrigation management in agricultural greenhouses under CO2 enrichment
Published 2025-12-01“…In this study, a data-driven model predictive control (MPC) is employed within a greenhouse environment to optimise irrigation scheduling. …”
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