DBPFNET: A DOUBLE BRANCH PARALLEL FUSION NEURAL NETWORK METHOD FOR LAND SUBSIDENCE SUSCEPTIBILITY MAPPING WITH INSAR OBSERVATION DATA

DBPFNet: a double branch parallel fusion neural network method for land subsidence susceptibility mapping with InSAR observation data

Current machine learning methods for land subsidence susceptibility mapping (LSSM) predominantly focus on the spatial features of land subsidence conditioning factors (LSCFs), overlooking the sequence relationships that merger after the superposition of these factors.This often leads to unreliable LSSM results.To address this limitation, this paper

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Fitness of Eventing Horses Submitted to Interval Training

The fitness of eventing horses was assessed in field tests through the use of heart and respiratory rates and blood biochemical parameters.The first stage (S1) lasted three days and consisted of the following three tests: the incremental speed test (IST), the incremental jumping test (IJT), and the jumping course (JC).Following acure face lotion th

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Prevalence of severe acute rotavirus gastroenteritis and intussusceptions in Ghanaian children under 5 years of age

valhalla axys Introduction: Vaccination is the most effective preventive strategy against rotavirus disease.Regional differences in prevalent rotavirus genotypes may affect vaccine efficacy.Pre-vaccine surveillance for burden of rotavirus disease, prevalent rotavirus genotypes, and association between rotavirus disease and intussusceptions helps in

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