Seasonal prediction of summer extreme droughts in the mid‐lower reaches of Yangtze River basin (MLYR) is of significant social‐economic value and has long been a big challenge in the meteorological community. Based on two machine learning models, the random forest (RF) and the Support Vector Machine (SVM), this study trained and validated a series of predictive models using observations from 1951 to 2021. The results show that...

Aiming to address the frequent design conflicts arising during multi-disciplinary collaboration in the detailed design phase of large cruise ships, coupled with the inadequacy of traditional methods in detecting unknown constraints, this paper proposes a hybrid conflict detection framework integrating interval propagation with intelligent algorithms. First, using the piping design of a cruise ship’s water supply system as a ty...