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In this paper, we propose a novel cross-modal retrieval method, named MGSGH, which deeply explores the internal correlation between data of different granularities by integrating coarse-grained global ...

A Sparse Cross Attention-Based Graph Convolution Network With Auxiliary Information Awareness for Traffic Flow Prediction Abstract: Deep graph convolutional networks (GCNs) have shown promising ...

Where does the use of Artificial Intelligence (AI) cross the line from convenience to cheating? Three Nanyang Technological University (NTU) students who took the Health, Disease Outbreaks, and ...

Almost cross-platform (no macOS support) way to convert scan or picture of your graph to digital data. - funbiscuit/curvedetect ...

Objective To evaluate a prototype automated controller (IntellO2) of the inspired fraction of oxygen (FiO2) in maintaining a target range of oxygen saturation (SpO2) in preterm babies receiving nasal ...

RETURN TO ISSUE Viewpoint NEXT Cross-Flow Treatment of PFAS in Water: Materials Challenges and Potential Solutions Mallikarjuna N. Nadagouda* ...

In this study, superlight adsorbent sponges (bulk density 0.016–0.049 g·cm –3) were developed based on graphene oxide (GO) cross-linked with poly (vinyl alcohol) (PVA). The interlayer spacing of the ...

FreqDGT: Frequency-Adaptive Dynamic Graph Networks with Transformer for Cross-subject EEG Emotion Recognition Overview FreqDGT is a novel deep learning framework for cross-subject EEG emotion ...