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 ...

这项由北京航空航天大学的杨健、国鑫、林静等研究者联合优矿公司和中国人民大学人工智能学院团队完成的突破性研究，发表于2025年12月的arXiv预印本（论文编号：2512.13472v1），是全球首次系统性探索多语言编程训练规律的重要成果。

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 ...

ABSTRACT: Accurate precipitation forecasting is crucial for mitigating the impacts of extreme weather events and enhancing disaster preparedness. This study evaluates the performance of Long ...

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: Stock rate prediction is a important venture inside the financial industry, with profound implications for investors, traders, and economic establishments. This have a look at affords a ...

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 ...