Abstract: Decoding motor imagery (MI) from electroencephalogram (EEG) signals is a cornerstone of brain–computer interface (BCI) systems. However, existing methods often face a critical tradeoff ...
Abstract: In the field of remote sensing, 3-D point clouds provide precise environmental perception information. However, their nonuniformity and irregularity present significant processing challenges ...
Abstract: As the core carriers of human activities, buildings represent not only the fundamental components of urban spatial structures but also serve critical functions in global resource management, ...
Abstract: Intracranial hemorrhage (Intracranial Hemorrhage, ICH) is a 1 critical medical condition, especially in cases of craniocerebral trauma, and timely and accurate diagnosis is essential to ...
Abstract: Accurate boundary segmentation of anatomically complex structures such as organs and tumors remains a major challenge in medical image analysis. Traditional segmentation methods often ...
It was just like watching television. Huddled in a draped-off room at Mar-a-Lago around screens set up for his viewing pleasure — including, according to photos released by the White House, a live ...
Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...
(CNN) — It was just like watching television. Huddled in a draped-off room at Mar-a-Lago around screens set up for his viewing pleasure — including, according to photos released by the White House, a ...
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