Introduction Demographic change is resulting in a growing number of individuals requiring nursing care, while the ...
Global Health Data Archiving Market size is expected to be worth around USD 3.4 Billion by 2033 from USD 1.4 Billion in 2023 ...
A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...
Large language models (LLMs), the computational models underpinning the functioning of ChatGPT, Gemini and other widely used ...
A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and develop.
The PSA Standard Prepayment Model forecasts the prepayment risk in mortgage-backed securities, helping investors understand ...
The appellate authority held that interactive flat panel displays are primarily large display devices. Despite embedded ...
Fortuna Mining Corp. (NYSE: FSM | TSX: FVI) is pleased to announce updated Mineral Reserves and Mineral Resources, excluding ...
Abstract: Deep learning models perform exceptionally well in time series classification, but their lack of interpretability remains a significant challenge. Although explainable AI (XAI) techniques ...
Abstract: Researchers confront significant challenges when classifying and modeling data due to the growing system complexity, data volume, and requirement for accurate and reliable models.
This paper presents ConvAttentionNet, a lightweight and high performing deep learning model developed for accurate and efficient classification of Polarimetric Synthetic Aperture Radar (PolSAR) ...
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