Correction: Roadway traffic crash prediction using a state-space model based support vector regression approach
Authors:
Published in the journal:
PLoS ONE 14(9)
Category:
Correction
doi:
https://doi.org/10.1371/journal.pone.0223223
The are errors in the Funding statement. The correct Funding statement is as follows: The funding was provided by the Fundamental Research Funds for the Central Universities (Grant No. 2019RC027). The publisher apologizes for the errors.
Zdroje
1. Dong C, Xie K, Sun X, Lyu M, Yue H (2019) Roadway traffic crash prediction using a state-space model based support vector regression approach. PLoS ONE 14(4): e0214866. doi: 10.1371/journal.pone.0214866 30951535
Článek vyšel v časopise
PLOS One
2019 Číslo 9
- Vidoucí nevidoucí, Alzheimer v krvi, obézní gen a emocionální vzpomínky – „jednohubky“ z výzkumu 35/2025
- Vakcinace proti hepatitidě A se nejvíc zanedbala u osob s onemocněním jater
- Jak sebepoškozování dospívajících souvisí se závislostí?
- Ukažte mi, jak kašlete, a já vám řeknu, co vám je
- AI hledá nová antibiotika ve zvířecích jedech
Nejčtenější v tomto čísle
- Graviola (Annona muricata) attenuates behavioural alterations and testicular oxidative stress induced by streptozotocin in diabetic rats
- CH(II), a cerebroprotein hydrolysate, exhibits potential neuro-protective effect on Alzheimer’s disease
- Comparison between Aptima Assays (Hologic) and the Allplex STI Essential Assay (Seegene) for the diagnosis of Sexually transmitted infections
- Assessment of glucose-6-phosphate dehydrogenase activity using CareStart G6PD rapid diagnostic test and associated genetic variants in Plasmodium vivax malaria endemic setting in Mauritania
Zvyšte si kvalifikaci online z pohodlí domova
Všechny kurzy