This review summarizes recent advances in wind speed forecasting using artificial intelligence. It systematically analyzes multi-scale signal decomposition methods and intelligent model fusion ...

In a paper published in Earth and Planetary Physics, researchers propose a semi-empirical model combining Burton's empirical ...

New BeyondTrust research shows statistical models outperform heuristics in detecting Kerberoasting attacks. Better accuracy, ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Through a multi-pronged integration of Revmo's algorithmic platform into its infrastructure, Vertiqal has enabled adaptive rate carding, AI-assisted creative testing, predictive revenue modeling, and ...

The IMF’s new Systemic Vulnerabilities Index (SVI) offers a data-driven, early warning tool that outperforms traditional ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

This model has tracked the fair value of three-year yields quite reliably since 1990, is not overfitted and remains stable enough for out-of-sample forecasting. Currently, it suggests that bond yields ...

Shakir Mohamed is one of South Africa’s artificial intelligence prodigies, having obtained a PhD from the University of ...

I spent most of my career as a CFO, surrounded by people who measure risk in decimals and sleep better when surprises round to zero. That discipline keeps companies solvent, but can also keep us from ...

Just after the Bank of Israel Monetary Committee left the interest rate unchanged at 4.5% for the 12th consecutive time, Governor Prof. Amir Yaron criticized the Central Bureau of Statistics new ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...