digna Introduces Python SDK and Docker Deployment in Release 2026.06

Vienna, Austria, June 25, 2026 — digna, the European data quality and observability platform, today announced the release of digna 2026.06, introducing a new Python SDK and Docker deployment support ...
IEEE

Multi-Modal Comparative Analysis on Execution of Phishing Detection Using Artificial Intelligence

Abstract: Phishing is the process of deceiving or stealing private or confidential information through illicit means. This could lead to financial loss, loss of reputation, and identity theft. Hence, ...
Scientific Research Publishing

Explore Anomaly-Aware Transformers for Robust Financial Time Series Forecasting ()

This study investigates whether anomaly-aware modeling can improve stock price forecasting by incorporating signals that highlight unusual market behavior. Financial time series often contain sudden ...
GitHub

Time series anomaly detection

A simple-to-use Python package for the development and analysis of time series anomaly detection techniques. Here we describe the main usage of dtaianomaly, but be ...
Frontiers

Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory

The advancement of cloud computing technologies has led to increased usage in application deployment in recent years. Kubernetes, a widely used container orchestration platform for deploying ...
InfoWorld

5 ways companies can use time-series forecasting

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...
GitHub

Anomaly Detection Toolkit (ADTK)

Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised / rule-based time series anomaly detection. As the nature of anomaly varies over different cases, a model may not work universally ...