This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

Anomaly Detection based on Auto-Encoders This is a sample project designed to help me get started with Autoencoders NDSU -AI SUSTEIN REU- 2025 ...

Network security is one of the most critical fields of computer science. With the advent of IoT technologies and peer-to-peer networks, the significance of mitigating security threats has never been ...

What we tried, what didn't work and how a combination of approaches eventually helped us build a reliable computer vision model.

Kolkata: The Bidhannagar Municipal Corporation (BMC) has taken up a pilot project of laying plastic mix bituminous for road repairs in Salt Lake. Work.

Recommended Practice: Flood Mapping Practice Using Sentinel-1 and Sentinel-2 Imagery ...

Existing deep learning-based hyperspectral anomaly detection methods often overlook frequency domain features, hindering the ability to effectively distinguish between background and anomalies.

The Section maintains and operates several global isotope data networks for hydrology and climate studies, including the IAEA Global Network of Isotopes in Precipitation and the Global Network of ...