With the development of new power systems, new services in the power data network are constantly emerging and the demand for deterministic transmission is on the rise. The transformation from "best - ...

Probabilistic Programming and Inference Algorithms Publication Trend The graph below shows the total number of publications each year in Probabilistic Programming and Inference Algorithms.

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Both deterministic and probabilistic load forecasting (DLF and PLF) are of critical importance to reliable and economical power system operations. However, most of the widely used statistical machine ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

The EO-LightGBM algorithm is employed for model training to enhance the accuracy of slope stability prediction under seismic loading. The dataset includes key variables such as seismic acceleration, ...