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Eight-Day Typhoon Quantitative Precipitation Forecasts in Taiwan by the 2.5 km CReSS Model, Part II: Reduced Control of Track Errors on Rainfall Prediction Quality for Typhoons Associated with Southwesterly Flow

Chung-Chieh Wang, Wei-Kuo Soong, Chih-Wei Chien, Chih-Sheng Chang et al. • Atmosphere (2023)

Due to the enhancement by its steep mesoscale topography, the overall rainfall amount and distribution in Taiwan from typhoons, to a first degree, are determined by the storm track relative to the island. Therefore, the quality of typhoon q...

DOAJ Open Access (DOAJ) DOI: 10.3390/atmos14061047

Ensembles machine learning for short duration rainfall intensity forecasting

Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence (2026)

Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5

Spatial analysis and risk mapping of Fasciola hepatica infection in dairy cattle at the Peruvian central highlands

Daniel Alexis Zárate-Rendón, David Godoy Padilla, Samuel Pizarro Carcausto, Alberto del Águila et al. • Parasite Epidemiology and Control (2023)

This study aimed to develop maps for Fasciola hepatica infection occurrence in dairy cattle in the districts of Matahuasi and Baños in the Peruvian central highlands. For this, a model based on the correlation between environmental variable...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.parepi.2023.e00329

Prediction of stability coefficient of open-pit mine slope based on artificial intelligence deep learning algorithm

Shuai Wang, Zongbao Zhang, Chao Wang • Scientific Reports (2023)

Abstract The mining of open pit mines is widespread in China, and there are many cases of landslide accidents. Therefore, the problem of slope stability is highlighted. The stability of the slope is a factor that directly affects the mining...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-38896-y