Abstract: Reducing the root-mean-square (RMS) current through dc-link capacitors is critically challenging in parallel dual-inverter-fed drive systems, as dc-link currents are heavily influenced by ...

The Independent Media and Policy Initiative has defended its projection of a 14 per cent year-end inflation rate, attributing the forecast to what it ...

A new study published in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center details a therapeutic vulnerability in patients with an aggressive subtype ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

When experimental results don't match scientists' predictions, it's usually assumed that the predictions were wrong. But new ...

Abstract: Fuel cell systems are emerging as a strong alternative to traditional power sources due to their high energy efficiency, greater energy density, and zero emissions. However, their relatively ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Firms may use analytical tools—including software, machine learning, or predictive model—so long as they make independent ...

A model that combines a host biomarker with a generative artificial intelligence (AI) analysis of electronic medical records ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.