Abstract: This paper proposes a novel real-time traffic congestion prediction framework based on dynamic risk field modeling and multi-source data fusion, tailored for complex urban road networks. By ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: Are complex Deep Learning (DL) models necessary for effective heart sound segmentation? This paper demonstrates that an effective denoising approach combined with a standard lowcost ...
The project was evaluated in a peer-reviewed academic setting, with emphasis on scientific rigor, reproducibility, and methodological clarity. Carbon dioxide plays a fundamental role in Earth’s carbon ...
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