Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...

在薄膜材料生长领域，传统的物理气相沉积（physical vapor deposition, ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

New research shows Americans' economic circumstances shape their democratic values more than political ideology when forced ...

今年的STS竞赛，共有超过 2600名学生提交申请，他们来自46个州、华盛顿特区、北马里亚纳群岛、波多黎各以及全球16个国家的826所高中。经过激烈角逐，最终有300位年轻人脱颖而出，入选本届学者名单—— ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

AI has evolved significantly, shifting from narrow, task-specific automation to advanced Cognitive Intelligence Platforms ...

A new study published in the Journal of the American Medical Association found that exposure to fine particulate air ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving real-time monitoring and combustion safety.

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...