Results 91 to 100 of about 407,112 (281)
regAL: Python package for active learning of regression problems
Machine Learning: Science and TechnologyIncreasingly more research areas rely on machine learning methods to accelerate discovery while saving resources. Machine learning models, however, usually require large datasets of experimental or computational results, which in certain fields—such as ...
Elizaveta Surzhikova, Jonny Proppe
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ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.The motivation behind the development of the new lithium salt LiDFFSI is to combine the advantages of both LiFSI and LiDFSI salts. LiDFFSI offers high ionic conductivity and enhanced compatibility with aluminum current collectors. Additionally, it promotes the formation of a conductive SEI layer rich in LiF and LiH, which contributes to an extended ...
Lorena García +9 more
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Scour‐Conditioned Seismic Fragility Analysis of Monopile‐Supported Offshore Wind Turbines
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Monopile‐supported offshore wind turbines (MS‐OWTs) are increasingly deployed in seismic coastal regions, where they face compound risks from earthquake loading and seabed scour. While past studies have addressed these hazards separately, seismic fragility under evolving scour conditions remains insufficiently understood. This study introduces
Francisco Pinto +3 more
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Proceedings, 2017 Using interferometric processing, a coherent radar is capable of detecting the displacement of [...]
Guido Luzi, Michele Crosetto
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Laguerre-Gauss Preprocessing: Line Profiles as Image Features for Aerial\n Images Classification [PDF]
, 2019 Alejandro Murillo-González +3 more
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Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Waves of Uncertainty: Crude Oil Under Geopolitical, Economic, and ESG Turbulence
Energy Science &Engineering, EarlyView.Dynamic copula and wavelet coherence reveal that geopolitical, economic, and sustainability uncertainties significantly shape crude oil price co‐movements. Long‐term coherence, especially post‐2015, highlights the growing role of ESG risks alongside geopolitical shocks and economic crises in global energy risk transmission.
Sana Braiek +3 more
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International Journal for Numerical Methods in Fluids, EarlyView.We introduce new efficient and accurate first order finite volume‐type numerical schemes, for the non‐conservative one‐dimensional blood flow equations with transport, taking into account different velocity profiles. The framework is the flux‐vector splitting approach of Toro and Vázquez‐Cendón (2012), that splits the system in two subsystems of PDEs ...
Alessandra Spilimbergo +3 more
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Holographic thermalization in Gauss–Bonnet gravity [PDF]
, 2013 Xiao-Xiong Zeng, Wenbiao Liu
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