New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Abstract: To address the challenges of insufficient text data utilization and low manual diagnosis efficiency in urban rail transit signaling system fault analysis, particularly the difficulty in ...

Abstract: With the increasing complexity of industrial processes, the effective monitoring of key quality variables has become critically important. Soft sensing techniques provide an efficient means ...