Abstract: Brain–computer interface (BCI) is an important way of human-computer interaction, with the ability to monitor brain states, and it has become an increasingly significant research direction.
People communicate with each other, sometimes face to face, sometimes with a text message or phone call. Cells also ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
Abstract: In hyperspectral image classification, the foremost task is that: how can we apply limited labeled samples to achieve good classification results? Spatial–spectral classification methods, ...
Obtaining accurate, up-to-date information from fire-affected areas is essential not only to better understand air quality, biogeochemical cycles or climate, but also to contribute towards fire ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Aimed at the hyperspectral image (HSI) classification under the condition of limited samples, this paper designs a joint spectral–spatial classification network based on metric meta-learning. First, ...
Application of Artificial Intelligence Algorithm in Image Processing for Cattle Disease Diagnosis ()
1 Department of Computer Science, Dilla University, Dilla, Ethiopia. 2 Department of Computer Science, Addis Ababa University, Addis Ababa, Ethiopia. 3 Department of Agricultural and Biological ...
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