Machines are rapidly gaining the ability to perceive, interpret and interact with the visual world in ways that were once ...

Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...

A study published in npj Computational Materials presents a new AI system that uses computer vision and language processing ...

A hierarchical classification model based on a 1D convolutional neural network (CNN) was proposed for signal analysis, and K-fold cross-validation was used to train and validate the model. Unlike ...

Meanwhile, the fMRI signals are processed through 1D convolutional layers to extract brain activity features, preserving spatial information, and embedding them into a 3D voxel representation to ...

MF bank classifier, 1D Convolutional Neural Networks (CNNs) and the minimum distance classifier using spectral-domain features (the skewness, the kurtosis, and the energy of the dominant frequency) ...

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In this study, a one-dimensional convolutional neural network (1D-CNN) was established by using PPG signals for the recognition of SAS, with a classification accuracy of over 90%. The results indicate ...

We present a new data set for structure-based machine learning, the CrossDocked2020 set, with 22.5 million poses of ligands docked into multiple similar binding pockets across the Protein Data Bank, ...