The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges

R Zinno, SS Haghshenas, G Guido, K Rashvand… - Applied Sciences, 2022 - mdpi.com
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …

Algorithms and techniques for the structural health monitoring of bridges: Systematic literature review

OS Sonbul, M Rashid - Sensors, 2023 - mdpi.com
Structural health monitoring (SHM) systems are used to analyze the health of infrastructures
such as bridges, using data from various types of sensors. While SHM systems consist of …

Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment

S Jafarzadeh Ghoushchi… - Neural computing and …, 2023 - Springer
There are a lot of elements that make road safety assessment situations unpredictable and
hard to understand. This could put people's lives in danger, hurt the mental health of a …

[HTML][HTML] Assessment of the level of road crash severity: comparison of intelligence studies

SS Haghshenas, G Guido, A Vitale, V Astarita - Expert systems with …, 2023 - Elsevier
In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …

Evaluation of contributing factors affecting number of vehicles involved in crashes using machine learning techniques in rural roads of Cosenza, Italy

G Guido, S Shaffiee Haghshenas… - Safety, 2022 - mdpi.com
The evaluation of road safety is a critical issue having to be conducted for successful safety
management in road transport systems, whereas safety management is considered in road …

Developing the rule of thumb for evaluating penetration rate of TBM, using binary classification

M Akbarzadeh, S Shaffiee Haghshenas… - Geotechnical and …, 2022 - Springer
Using the tunnel boring machine (TBM) in tunneling projects contributes significantly to
increased efficiency and reducing the time of project implementation in comparison with the …

[HTML][HTML] Developing new hybrid grey wolf optimization-based artificial neural network for predicting road crash severity

V Astarita, SS Haghshenas, G Guido, A Vitale - Transportation Engineering, 2023 - Elsevier
With more cars on the road and an increasing travel rate, one of the main issues in
transportation engineering is how to make roads safe. The evaluation of the level of road …

Application of feature selection approaches for prioritizing and evaluating the potential factors for safety management in transportation systems

G Guido, S Shaffiee Haghshenas… - Computers, 2022 - mdpi.com
Road safety assessment is one of the most important parts of road transport safety
management. When road transportation networks are managed safely, they improve the …

Prediction of rockburst intensity grade in deep underground excavation using adaptive boosting classifier

M Ahmad, HY Katman, RA Al-Mansob, F Ahmad… - …, 2022 - Wiley Online Library
Rockburst phenomenon is the primary cause of many fatalities and accidents during deep
underground projects constructions. As a result, its prediction at the early design stages …

[HTML][HTML] Development of a robust hybrid framework for evaluating and ranking smartification measures for sustainable mobility: a case study of Sicilian roadways …

SJ Ghoushchi, SS Haghshenas, S Vahabzadeh… - Expert Systems with …, 2024 - Elsevier
Smart roads are a key component of intelligent transportation. Strict implementation of road
smartification measures can help solve many of the traffic problems societies face today …