Abstract: Industry 4.0/Smart Manufacturing is transforming the manufacturing industry through the integration of technologies such as the Internet of Things (IoT), big data, and cloud computing. These ...

Expert consultant Greg Shulz said next-generation data visualization requires modernizing the full pipeline from data preparation through AI-governed analytics to interactive, story-driven presentatio ...

An Industrial IoT (IIoT) predictive maintenance system that simulates factory equipment, monitors sensor data in real-time, and uses Machine Learning to predict equipment failures before they happen ...

Sometimes, it's best to go by the numbers. Each week, Law.com is telling critical legal stories through data visualizations. In this week's roundup: Data on summer associates planning to interview at ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

Enhance the existing real-time CPU usage anomaly detection system (PR #1) with comprehensive visualization capabilities to provide visual feedback during anomaly detection. This enhancement will ...

Abstract: We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea ...

Bureau Veritas Marine & Offshore (BV) has launched an advanced tool for ship and offshore structure inspections. Called the Augmented Surveyor 3D (AGS 3D), it is powered by artificial intelligence (AI ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...