Road crash injury severity prediction using a graph neural network framework
Crash severity prediction is a challenging research area, where the objective is to accurately assess the extent of severity of an injury resulting from road traffic accidents. The main aim of existing studies is to precisely assess the potential severity of crashes under diverse circumstances, su...
Main Authors: | Sattar, Karim A., Ishak, Iskandar, Affendey, Lilly Suriani, Mohd Rum, Siti Nurulain |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers
2024
|
Online Access: | http://psasir.upm.edu.my/id/eprint/111054/1/Road_Crash_Injury_Severity_Prediction_Using_a_Graph_Neural_Network_Framework.pdf |
Similar Items
-
Road Crash Injury Severity Prediction Using a Graph Neural Network Framework
by: Karim A. Sattar, et al.
Published: (2024-01-01) -
Detecting influencers in social media using Social Network Analysis (SNA)
by: Mohd Rum, Siti Nurulain, et al.
Published: (2019) -
Ontology development life cycle: a review
by: Mohd Rum, Siti Nurulain, et al.
Published: (2019) -
Video concept detection using Hadoop MapReduce framework
by: Affendey, Lilly Suriani, et al.
Published: (2014) -
Enhancing truth discovery in document context finding using NER – based veracity evaluator framework
by: Azman, Siti Nuradilah, et al.
Published: (2015)