Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...

This software is provided for educational and research purposes only. It is NOT financial advice and should NOT be used for actual trading without: Proper financial licenses and regulatory compliance ...

Abstract: To improve the low accuracy of the SGP4 model in short-term orbit prediction for medium Earth orbit satellites and the instability in LSTM model training, this paper proposes and develops an ...

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 ...

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 ...

Irregular waves exhibit complex and erratic behavior, posing significant challenges for accurate short-term ship motion forecasting. Reliable ship navigation depends on precise motion predictions, ...

Abstract: The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically ...