This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

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

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

To address this problem, this study proposes a graph-based intrusion detection model using Graph Neural Networks (GNNs), leveraging a dynamic representation of IoT network traffic.

As deep learning demonstrates excellent performance in remote sensing image change detection (CD), early methods that mostly used convolutional neural networks (CNNs) have limitations in the accuracy ...

Shopping for an Amazon Echo for Prime Day? We've reviewed the current lineup, so before you spring for an Echo Show smart display or Echo smart speaker, check out the key differences between each ...