Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Assessing Teacher Trainee’s Misconception of Derived and Fundamental Quantities in Measurement: A Quantitative Survey in Gambaga College of Education This study was conducted to uncover and analyze ...

Invesco S&P 500 Equal Weight Utilities ETF offers lower company-specific risk, better value and long-term returns. Read more ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

GMC’s Vandura and Rally vans have quietly shifted from workhorses and family haulers into sought‑after classics, and the Rally STX nameplate sits right in the middle of that story. Collectors now comb ...

NotebookLM is getting in a few more features before the holidays, including an upgrade to Gemini 3 and Data Tables. Google on Friday shared that “NotebookLM is OFFICIALLY built on Gemini 3!” This ...

Siemens and nVent are collaborating to develop a liquid cooling and power reference architecture for hyperscale AI workloads. The new joint architecture developed by Siemens and nVent is designed to ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...