1 School of Electrical Engineering, Northeast Electric Power University, Jilin City, China 2 China Electric Power Research Institute, Nanjing, China To accurately evaluate the influence of the ...
Microseismic event back-azimuth is an indispensable parameter for source localization in downhole microseismic monitoring, and the accurate orientation of horizontal components of downhole seismic ...
Department of Chemistry, Drexel University, Philadelphia, PA, USA. Department of Chemistry, Penn State Abington, Abington, PA, USA. We present a probabilistic approach to characterizing the transit ...
In the event of dry weather and high winds, power system-ignited incidents are more likely to develop into wildfires. The risk is greater if vegetation is nearby. A new study provides the methodology ...
Using data from the in vitro liver microsomes metabolic stability assay, we have developed QSAR models to predict in vitro human clearance. Models were trained using in house high-throughput assay ...
Concept-based learning (CBL) in machine learning emphasizes using high-level concepts from raw features for predictions, enhancing model interpretability and efficiency. A prominent type, the ...
Abstract: This article proposes a bias detection method in the voltage measurement of lithium-ion (Li-ion) battery cells to identify faulty sensor(s). The proposed method is based on a Bayesian ...
Abstract: The increasing penetration of wind power brings great uncertainties into power systems, which poses challenges to system planning and operation. This paper proposes a novel probabilistic ...
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