[4] Anomaly detection based pronunciation verification approach using speech attribute features. Speech Communication (2019). Back to "Phonetics and Speech Science" ...

This project implements a system for detecting anomalies in time series data collected from Prometheus. It uses an LSTM (Long Short-Term Memory) autoencoder model built with TensorFlow/Keras to learn ...

Detecting anomalous events in videos is a challenging task due to their infrequent and unpredictable nature in real-world scenarios. In this paper, we propose SwinAnomaly, a video anomaly detection ...

Related Features. Ulysses S. Grant | Article Julia Dent Grant. Although her marriage to Ulysses S. Grant would deliver romance and adventure, Julia suffered loneliness and hardship along the way.

Modern large-scale systems and networks necessitate automated anomaly detection to support the high availability and quality of services. Since logs are an essential data source that can accurately ...

Find and fix vulnerabilities Actions Automate any workflow ...

Both anomaly detection methods, namely, Isolation Forest and VAE, struggle on this benchmark. Specifically, MVS-A outperforms them across all metrics on 16/17 and 15/17 data sets, respectively.

The biogeography of eukaryotes in drinking water systems is poorly understood relative to that of prokaryotes or viruses, limiting the understanding of their role and management. A challenge with ...