Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
The system enables measurements under controlled irradiance, spectrum, and temperature conditions. It can combine 0.4% ...
A recent paper published in Food Chemistry 1 presented a high-throughput, green analytical chemistry approach for ...
March 4, 2026CE Marked and 510(k) pending, Rembra’s advanced image reconstruction technology delivers up to 106 images per second [1] and a high ...
Mayor Zohran Mamdani wants to make classes smaller across the largest U.S. school system. Like other parts of his agenda, it’s a costly task. By Troy Closson Chris Phillips’s son was struggling to ...
Modern methods of infrared (IR) spectroscopy yield full IR absorbance spectra in arrays, forming hyperspectral images. End-to-end processing of these images via deep learning seems ideal for ...
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 ...
This paper presents a pioneering multimodal, multitechnique, and multiscale analytical methodology for studying the materials in street art murals. By combining in situ noninvasive analyses with ...
The Asymptotic Giant Branch (AGB) is the late stage of the evolution of intermediate and low-mass stars and is of great importance for understanding stellar evolution, nucleosynthesis, and the ...
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