Abstract: The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, security ...

Deep Graph Anomaly Detection: A Survey and New Perspectives A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...

This project provides a complete pipeline for detecting surface defects on hot-rolled steel strips using either pre-trained deep learning models (YOLOv5/YOLOv7) or classical image processing ...

Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! 58 shot, 8 dead, in Chicago amid Trump's threat to deploy National Guard Donald ...

Remote sensing is a key tool to derive glacier surface velocities but existing mapping methods, such as cross-correlation techniques, can fail where surface properties change temporally or where large ...

Rigetti Computing reports 13 cents of adjusted per-share earnings for its fiscal Q1. Here's why RGTI's first-quarter EPS isn't reflective of its actual operational strength. Rigetti Computing stock is ...

Objective: To develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model. Methods: We retrospectively ...