Phys.org

MicroBooNE detector excludes electron neutrino cause of MiniBooNE anomaly

A recent Physical Review Letters publication presents a thorough analysis of MicroBooNE detector data, investigating the anomalous surplus of neutrino-like events detected by the preceding MiniBooNE ...
dbta

Exabeam and Cribl Expand Collaboration to Power Scalable, High-Fidelity Threat Detection with Next-Gen Data Pipelines

Exabeam, a global leader in intelligence and automation that powers security operations, and Cribl, the Data Engine for IT and Security, are expanding their strategic partnership—building on their ...
Scientific Research Publishing

Kea, K., Han, Y. and Kim, T.-K. (2023) Enhancing Anomaly Detection in Distributed Power Systems Using Autoencoder-Based Federated Learning. PLOS ONE, 18, e0290337.

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
Morningstar

Exabeam and Cribl Partner to Power Scalable, High-Fidelity Threat Detection with Next-Gen Data Pipelines

Exabeam, a global leader in intelligence and automation that powers security operations, and Cribl, the Data Engine for IT and Security, today announced an evolution of their strategic partnership ...
IEEE

READ3D-Net: Residual Autoencoder and GAN-Based 3-D Convolutional Network for Anomaly Detection

Abstract: Video anomaly detection (VAD) is of great importance for a variety of real-time applications in video surveillance. Most deep learning-based anomaly detection algorithms adopt a one-class ...
MassDevice

iRhythm data highlights increased AFib detection with Zio long-term continuous monitoring

iRhythm (Nasdaq: IRTC) + today announced findings from a study of its Zio long-term continuous monitoring (LTCM) service. Outcomes from the Oxford University-led active monitoring for atrial ...
GitHub

Time Series Anomaly Detection Pipeline

This project is designed to identify unusual patterns and potential faults in time-series data (e.g., server metrics, sensor readings, financial data). It goes beyond simple anomaly scoring by: The ...
C&EN

Data-Driven Flow Control for Natural Gas Pipeline Networks: Optimizing via Anomaly Detection and Residual Weight Coefficients

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The natural gas pipeline network has a complex topology with variable flow directions, ...
Frontiers

A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism

Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant ...
Scientific Research Publishing

An Enhanced and Explainable Hybrid Ensemble Intrusion Detection System for Connected Vehicles ()

1 Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA. 2 Department of Computer Science, Kettering University, Flint, MI, USA. Intelligent vehicles require strong ...