Marieke Peeters, Ludo Verhoeven, Jan de Moor
Teacher literacy expectations for kindergarten children with cerebral palsy in special education
International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation
crash severity analysis significant importance traffic crash prevention emergency resource allocation range innovations offers potential traffic crash severity prediction models improve road safety however semantic information inherent traffic crash data crucial enabling deeper understanding underlying factors impacts yet fully utilized moreover traffic crash data commonly characterized small sample size leads sample imbalance problem resulting prediction performance decline tackle problems propose semantic understandingbased dataenhanced doublelayer stacking model named enlktreegbdt crash severity prediction specifically fully leverage inherent semantic information within traffic crash data analyze factors influencing crashes design semantic enhancement module multidimensional feature extraction module aims enhance understanding crash semantics improve prediction accuracy introduce data enhancement module utilizes data denoising migration techniques address challenge data imbalance reducing prediction models dependence large sample crash data furthermore construct twolayer stacking model combines multiple linear nonlinear classifiers model designed augment capability learning linear nonlinear mixed relationships thereby improving accuracy predicting severity crashes complex urban roads experiments historical datasets uk road safety crashes validate effectiveness proposed model superior performance prediction precision achieved compared stateofthearts ablation experiments semantic data enhancement modules confirm indispensability module proposed model