Latest AI and machine learning research in intensivists for healthcare professionals.
In this work, we present a novel gaze-assisted natural language processing (NLP)-based video caption...
With the rapid rise of artificial intelligence, smart senior care has become a new trend for future ...
In reality, learning from multi-view multi-label data inevitably confronts three challenges: missing...
Mammogram mass detection is crucial for diagnosing and preventing the breast cancers in clinical pra...
In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells pl...
In the edge intelligence environment, multiple sensing devices perceive and recognize the current sc...
A high-strength bolt connection is the key component of large-scale steel structures. Bolt loosening...
Mass spectrometry (MS) is widely used for the identification of chemical compounds by matching the e...
Cervical cancer is a high-risk disease that threatens women's health globally. In this study, we dev...
Extractive document summarization is a fundamental task in natural language processing (NLP). Recent...
In recent years, healthcare has gained unprecedented attention from researchers in the field of Huma...
Accurate prediction of DNA-protein binding (DPB) is of great biological significance for studying th...
The high number of fatal crashes caused by driver drowsiness highlights the need for developing reli...
The 2030 Sustainable Development Goals (SDGs) aim at jointly improving economic, social, and environ...
A segmentation method for pre-impact fall detection data is investigated. Specifically, it studies h...
Hospitals provide direct and indirect employment benefits to medical professionals. Accidents in ho...
Commonly used nested entity recognition methods are span-based entity recognition methods, which foc...
BACKGROUND: Accurate and automated brain tumor segmentation from multi-modality MR images plays a si...
Person re-identification is essential to intelligent video analytics, whose results affect downstrea...
In recent years, image segmentation based on deep learning has been widely used in medical imaging, ...
Wi-Fi-based human activity recognition has attracted broad attention for its advantages, which inclu...