Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
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Self-driving vehicles rely closely on interactions with humans, vehicles, and the surrounding environment. However, the interactive analysis of self-driving is impacted by multiple perception sources, ...
PyTorch Lightning implementation of an LSTM-based encoder-decoder for battery aging prediction. The model is optimized for training/prediction speed and prediction accuracy and can be applied for ...
ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...
In the context of global energy shortages, traditional energy sources face issues of limited reserves and high prices. As a result, the importance of energy storage technology is increasingly ...
1 Construction Branch of State Gird Jiangsu Electric Power Co. Ltd, Nanjing, China 2 Civil Engineering School, Southeast University, Nanjing, China Concrete-filled steel tube (CFST) columns are widely ...
This project implements an LSTM that learns to isolate individual frequency components from a mixed signal through one-hot conditioning.
This workshop will provide an introduction to the types of theories, models, and frameworks (TMFs) commonly used in dissemination and implementation science, including pros and cons and application of ...
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