Recent advances in semantic correspondence have been largely driven by the use of pre-trained large-scale models. However, a limitation of these approaches is their dependence on high-resolution input images to achieve optimal performance, which resu... read more
DepthCropSeg++: a foundation model for crop segmentation, capable of segmenting different crop species under open in-field environment. Crop segmentation is a fundamental task for modern agriculture, which closely relates to many downstream tasks suc... read more
In this paper, the CD-TWINSAFE is introduced, a V2I-based digital twin for Autonomous Vehicles. The proposed architecture is composed of two stacks running simultaneously, an on-board driving stack that includes a stereo camera for scene understandin... read more
Background The assessment of physical examination skills in medical education is resource-intensive and prone to inter-rater variability. While artificial intelligence (AI) has successfully automated the grading of clinical notes and transcripts, eva... read more
Geographical traceability is vital for ensuring the authenticity and quality of food and medicinal plants. Lonicera japonica Thunb. (Jinyinhua, JYH) is widely consumed for its pharmacological and nutritional benefits, yet its quality is strongly orig... read more
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2026
Graph Fraud Detection (GFD) has become a critical task in online systems such as financial networks, review platforms, and social media, where fraudulent behaviors are inherently rare and often embedded within benign communities. Graph Neural Network... read more
Neural networks : the official journal of the International Neural Network Society
Jan 18, 2026
Resting-state functional magnetic resonance imaging (rs-fMRI) provides critical biomarkers for diagnosing neuropsychiatric disorders such as autism spectrum disorder (ASD) and major depressive disorder (MDD). However, existing deep learning models he... read more
Inland waters represent a significant share of the global freshwater resources and can have a profound impact on global climate and human well-being. By 2050, the world's population is expected to reach 9.7 billion, and one in four people is expected... read more
Food waste is a global concern, partially caused by destructive testing and inaccurate visual inspections that misclassify quality. This study developed a machine learning-assisted handheld Raman spectroscopy for non-destructive classification of avo... read more
International journal of medical informatics
Jan 18, 2026
BACKGROUND: Elderly acute pancreatitis (AP) patients face significantly higher in-hospital all-cause mortality, highlighting the need for effective risk stratification to support timely clinical decision-making. METHODS: We conducted a multicenter re... read more
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