Abstract: Existing machine learning-based methods for series arc fault (SAF) identification still suffer from slow training speed when dealing with large-scale SAF datasets. For this reason, we ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...

The convergence of artificial intelligence, cloud-native architecture, and data engineering has redefined how enterprises ...

Overview Covers in-demand tech skills, including AI, cloud computing, cybersecurity, and full-stack development for ...

Today is Microsoft' 2026 Patch Tuesday with security updates for 114 flaws, including one actively exploited and two publicly ...

The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.

Shattering the myths that hold you back from shifting to a better OS.

Abstract: In this study, the application of support vector machine (SVM) in modern industrial fault diagnosis is mainly analyzed. As an advanced machine learning algorithm, SVM can effectively ...

Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...