Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys? [PDF]
Fiorentini N +3 more
europepmc +1 more source
Utilizing spatial artificial intelligence to develop pavement performance indices: a case study. [PDF]
Milad A +3 more
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Short-term exposure to stone minerals used in asphalt affect lung function and promote pulmonary inflammation among healthy adults. [PDF]
Moazami TN +8 more
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A physic-guided YOLO framework for pavement deformation distress detection. [PDF]
Sheikholeslami D +4 more
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Pavement condition prediction under small-sample conditions using a particle swarm optimization-based support vector machine. [PDF]
Xu W, Yang Z, Ji Y, Huang P.
europepmc +1 more source
Modeling Farm Equipment Vehicle crash injury severity using random parameters logit and multi-class support vector machine in a developing country. [PDF]
Nasab EJ +3 more
europepmc +1 more source
Global climate change and human health: Pathways and possible solutions. [PDF]
Zhao Q +10 more
europepmc +1 more source
Prediction of pavement performance via smatrphone vibration-induced unevenness signature using machine learning. [PDF]
Wasiq S +3 more
europepmc +1 more source
Surrogate measurement of traffic safety with insights from pavement condition, sensor fusion, and machine learning. [PDF]
Amani MJ, Golroo A, Hajikarimi P.
europepmc +1 more source
Exploring the Effectiveness of Road Maintenance Interventions on IRI Value Using Crowdsourced Connected Vehicle Data. [PDF]
Ceriani R +5 more
europepmc +1 more source

