Geographical spatial analysis and risk prediction based on machine learning for maritime traffic accidents: A case study of Fujian sea area

Y Yang, Z Shao, Y Hu, Q Mei, J Pan, R Song, P Wang - Ocean Engineering, 2022 - Elsevier
Safety analysis according to the spatial distribution characteristics of maritime traffic
accidents is critical to maritime traffic safety management. An accident analysis framework …

Developing a spatio-temporal interactions model for car crashes using a novel data-driven AHP-TOPSIS

S Ghezelbash, R Ghezelbash, M Kalantari - Applied Geography, 2024 - Elsevier
We have proposed a data-driven method for spatio-temporal analysis of car crashes based
on the Multi Criteria Decision Making (MCDM) procedure in the Zanjan city, NW Iran which …

[PDF][PDF] Identification of hazardous road sites: a comparison of blackspot methodology of Narogong Road Bekasi and Johor Federal Roads

M Isradi, H Dwiatmoko, J Prasetijo, AI Rifai… - Sinergi (Indonesia …, 2024 - core.ac.uk
A traffic accident is an unexpected and inadvertent road event involving a vehicle with or
without other road users that results in human injuries and possibly property damage. This …

[HTML][HTML] Molecular Identification of Salmonella spp. in Ticks Isolated from Domestic Animals in Zanjan Province

M Babayi Khomaraki, A Ownagh… - Journal of Zoonotic …, 2023 - journals.tabrizu.ac.ir
Salmonella is a Gram-negative Bacteria that is commonly found in most environments and
organisms and is a causative agent of disease. Salmonella spp. is one of the most common …

Molecular identification of Salmonella spp. in ticks isolated from domestic animals in Zanjan Province.

MB Khomaraki, A Ownagh, A Enferadi - 2023 - cabidigitallibrary.org
Salmonella is a Gram-negative Bacteria that is commonly found in most environments and
organisms and is a causative agent of disease. Salmonella spp. is one of the most common …