A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
Abstract: Image analysis based on biological morphological differences is an important development direction for classification and determination of planktonic algae. However, it has some shortages, ...
Abstract: We consider visual category recognition in the framework of measuring similarities, or equivalently perceptual distances, to prototype examples of categories. This approach is quite flexible ...
The package implements 86 variants of the Synthetic Minority Oversampling Technique (SMOTE). Besides the implementations, an easy to use model selection framework is supplied to enable the rapid ...
Fortuna Metals reports high-purity rutile at Mkanda, 96.66% TiO2 in bulk test; boosts case for maiden MRE as drilling ...
In my last tutorial , you learned about convolutional neural networks and the theory behind them. In this tutorial, you’ll learn how to use a convolutional neural network to perform facial recognition ...
Polypharmacy in patients with cardiovascular disease occurs frequently across the age spectrum and can lead to inappropriate ...
Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...
DeepDetect is a deep learning runtime, command-line tool, and REST server for training and inference. The Python wheel embeds the DeepDetect runtime in the current Python environment and provides the ...
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