Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt

Record type:

paper
Creator:
YahFanFu,Li,
Editor:
nat
Publisher:
CCSDTaylor & Francis
Host:avatar
International audience

Visit

hal.science

Tags

[SPI]Engineering Sciences [physics]

Similar

Anticipation of Flood Susceptibility in Urbanized Regions Using Machine Learning Technique: Case Study of New Cairo City, EgyptEffects of excessive speeding and falling asleep while driving on crash injury severity in Ethiopia: A generalized ordered logit model analysisComplex relationship between household wealth, location of residence, road crash injury incidence and injury severity in UgandaAnalysis of Machine Learning-Based Dental Caries Risk Prediction Model at Cairo Hospital, EgyptPredicting road traffic crash severity in Kaduna Metropolis using some selected machine learning techniquesMachine Learning Models for Generating Synthetic Solar Radiation Data at Cairo, Egypt

Anticipation of Flood Susceptibility in Urbanized Regions Using Machine Learning Technique: Case Study of New Cairo City, Egypt

Abstract Climate change is driving growth in extreme weather events through vast world reg

Effects of excessive speeding and falling asleep while driving on crash injury severity in Ethiopia: A generalized ordered logit model analysis

Complex relationship between household wealth, location of residence, road crash injury incidence and injury severity in Uganda

Background Limited evidence exists about associations between road crash injury

Analysis of Machine Learning-Based Dental Caries Risk Prediction Model at Cairo Hospital, Egypt

Introduction: Dental caries is the most common chronic disease in children and adults throughout the

Predicting road traffic crash severity in Kaduna Metropolis using some selected machine learning techniques

Road Traffic Crash (RTC) is among the leading causes of death in the world and has a significant imp

Machine Learning Models for Generating Synthetic Solar Radiation Data at Cairo, Egypt

The provided data is a part of my PhD thesis, which is concerned with modeling solar radiation compo