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 ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Inspired by the idea of deep learning, here we combine the autoencoder, deconvolution network, and shortcut connections into the residual encoder–decoder convolutional neural network (RED-CNN) for low ...

A deep convolutional neural network is used to extract high-order morphological features from binary images to distinguish textured microstructures from untextured microstructures. The convolutional ...

A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and ...

RGB-D image classification based on convolutional neural networks have been extensively explored recently. However, they suffer from problems of effective representation of RGB-D image, intra-class ...

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