Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

The study found that deep learning models, especially CNNs, were the most frequently implemented technique (61.2%), followed ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Dr. Muhammad Waqar Akram and his team from the Department of Farm Machinery and Power at University of Agriculture Faisalabad ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has released ...