Scene reconstruction is an essential capability for underwater robots
navigating in close proximity to structures. Monocular vision-based
reconstruction methods are unreliable in turbid waters and lack depth scale
information. Sonars are robust to ... read more
Accurate short-term precipitation prediction is critical for agricultural production, transportation safety, and water resource management. In this paper, we propose an Efficient Spatio-Temporal Recurrent Unit (ESTRU) for short-term precipitation pre... read more
BackgroundSex differences in Alzheimer's disease (AD) progression offer insights into pathogenesis and clinical management. White matter (WM) amplitude of low-frequency fluctuation (ALFF), reflecting neural activity, represents a potential disease bi... read more
Robots operating in human-centric or hazardous environments must proactively
anticipate and mitigate dangers beyond basic obstacle detection. Traditional
navigation systems often depend on static maps, which struggle to account for
dynamic risks, s... read more
Accurate wind speed and power forecasts are essential for applications involving renewable wind energy. Ten machine learning techniques, including single and ensemble models, are compared, and evaluated in this study over a range of time scales. The ... read more
OBJECTIVE: To evaluate the agreement and repeatability of an automated robotic ultrasound system (ARTHUR V.2.0) combined with an AI model (DIANA V.2.0) in assessing synovial hypertrophy (SH) and Doppler activity in rheumatoid arthritis (RA) patients,... read more
Robust gait recognition requires highly discriminative representations, which
are closely tied to input modalities. While binary silhouettes and skeletons
have dominated recent literature, these 2D representations fall short of
capturing sufficient... read more
This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and ... read more
We address the problem of scarcity of educational Arabic Language Learning
tools that advocate modern pedagogical models such as active learning which
ensures language proficiency. In fact, we investigate the design and evaluation
of an AI-powered ... read more
With urbanization accelerating and transportation demand growing, road damage has become an increasingly pressing issue. Traditional manual inspection methods are not only time-consuming but also costly, struggling to meet current demands. As a resul... read more
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