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

Thus, a broad graph convolutional neural network (BGCNN) is proposed for solving the aforementioned issues. In the BGCNN, the graph convolution operation is first used to capture the nonlinear ...

Intelligent Cyber-Physical Systems typically utilize sensors to gather a significant amount of raw data which often possesses temporal and high-dimensional characteristics. Ensuring the data ...

By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

GREmLN leverages a graph-based architecture to represent gene-gene interactions to predict cell behavior for therapeutic ...

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