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 ...

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...

Officials in Idaho released a 3D model of the house where Bryan Kohberger killed four University of Idaho students following his guilty plea. Kohberger pleaded guilty on July 2 to the murders of Ethan ...

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...

1 Department of Meteorology, School of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China. 2 Tanzania Meteorological Authority, Dodoma, Tanzania. 3 School of ...

Abstract: Battery recycling processes in the Life Cycle Assessment (LCA) of Electric Vehicles (EVs) are crucial for reducing environmental impact and enhancing resource efficiency. This paper presents ...