Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...

In 2026, Azure Machine Learning has evolved from a sandbox for data scientists into a robust platform for operational forecasting, yet many teams still struggle to see what happens after deployment.

SAP is spending roughly €1 billion to acquire two companies it believes can solve one of the most persistent headaches in ...

Overview:  Discover the top data engineering tools transforming how businesses build scalable and intelligent data pipelines in 2026.Learn how real-time pr ...

Overview:  Choosing between Hadoop, Spark, and Databricks can define your data strategy success in 2026.Each tool serves a unique purpose from storage to r ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...

As part of our commitment to supply chain integrity, we continually monitor our dependency tree against known vulnerabilities and industry advisories. In response to a recently disclosed supply chain ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...