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Boosting brain-computer interface performance through cognitive training: A brain-centric approach
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Eliminating Harmonic False Peaks in Fourier Transform Ion Mobility Spectrometry Using a Virtual Ion Gate
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Ensembled-SAMs for Enhanced Small Coronary Artery Segmentation in CCTA Images
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ETC-Net: Electromagnetic-thermal co-simulation network for microstrip patch antenna arrays inspired by mutiphysics chain-of-thought
A deep neural network for the electromagnetic-thermal co-simulation of microstrip patch antenna arrays is proposed based on …
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RSTeller: Scaling up visual language modeling in remote sensing with rich linguistic semantics from openly available data and large language models
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VIOMA: Video-Based Intelligent Ocular Misalignment Assessment
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Characterising Eye Movement Events With Multi-Scale Spatio-Temporal Awareness
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Contrastive Disentanglement for Quantitative Ultrasound Muscle Atrophy Evaluation
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DERE-Net: A dual-encoder residual enhanced U-Net for muscle fiber segmentation of H&E images
Accurate segmentation of hematoxylin-eosin (H&E) muscle fiber images is crucial for the diagnosis of weightless muscle atrophy. …
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Efficient Adaptive Incremental Learning for Fruit and Vegetable Classification
Traditional deep learning models for fruit and vegetable classification are usually implemented via training on an unchanged dataset. …
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