DSFormer is a novel Dual Selective Fusion Transformer Network for HSI classification. It adaptively selects and fuses features from diverse receptive fields to achieve joint spatial-spectral context ...
SegMesh introduces a range of modular operations tailored for 3D triangular mesh segmentation. These include innovative mesh segmentation techniques, GPU-accelerated mesh simplification, and precise ...
WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...
Abstract: In this study, we propose AlphaGrad, a novel adaptive loss blending strategy for optimizing multi-task learning (MTL) models in motor imagery (MI)-based electroencephalography (EEG) ...
Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...
Dot Physics on MSN
Mastering Python functions for physics applications
Master Python functions and apply them to solve physics problems efficiently. Learn step-by-step techniques for simulations, calculations, and modeling in physics using Python. Ideal for students, ...
Introduction: To address the lack of integrated and clinically applicable motion capture systems for hand function assessment, we developed a wearable device capable of simultaneously recording finger ...
Abstract: The imagery speech (IS) is the speech that the human beings are thinking in their brain. A brain computer interface (BCI) system is employed to translate the speech thinking in the brain to ...
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