Artificial intelligence and structural health monitoring of bridges: A review of the state-of-the-art

R Zinno, SS Haghshenas, G Guido, A VItale - IEEE Access, 2022 - ieeexplore.ieee.org
In the age of the smart city, things like the Internet of Things (IoT) and big data analytics are
making big changes to the way traditional structural health monitoring (SHM) is done. Also …

Development of rockburst research: a comprehensive review

M Wu, Y Ye, Q Wang, N Hu - Applied Sciences, 2022 - mdpi.com
Rockburst is a difficult problem in underground resource development and infrastructure
construction. With scientific and technological progress, more research technologies and …

Investigating a serious challenge in the sustainable development process: analysis of confirmed cases of COVID-19 (new type of coronavirus) through a binary …

B Pirouz, S Shaffiee Haghshenas… - Sustainability, 2020 - mdpi.com
Nowadays, sustainable development is considered a key concept and solution in creating a
promising and prosperous future for human societies. Nevertheless, there are some …

Short-term rockburst risk prediction using ensemble learning methods

W Liang, A Sari, G Zhao, SD McKinnon, H Wu - Natural Hazards, 2020 - Springer
Short-term rockburst risk prediction plays a crucial role in ensuring the safety of workers.
However, it is a challenging task in deep rock engineering as it depends on many factors …

Development of an assessment method for investigating the impact of climate and urban parameters in confirmed cases of COVID-19: a new challenge in sustainable …

B Pirouz, S Shaffiee Haghshenas, B Pirouz… - International journal of …, 2020 - mdpi.com
Sustainable development has been a controversial global topic, and as a complex concept
in recent years, it plays a key role in creating a favorable future for societies. Meanwhile …

A comprehensive review of intelligent machine learning based predicting methods in long-term and short-term rock burst prediction

PMS Basnet, S Mahtab, A Jin - Tunnelling and Underground Space …, 2023 - Elsevier
Rockburst is a geological hazard frequently encountered in deep underground engineering
projects that threaten workers' safety and causes damage to an excavation. The occurrence …

Assessment of rockburst risk using multivariate adaptive regression splines and deep forest model

D Guo, H Chen, L Tang, Z Chen, P Samui - Acta Geotechnica, 2022 - Springer
Rockburst is a major instability issue faced by underground excavation projects, which is
induced by the instantaneous release of a large amount of strain energy stored in rock mass …

Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects

M Kamran, B Ullah, M Ahmad, MMS Sabri - Frontiers in Public Health, 2022 - frontiersin.org
The rockburst phenomenon is the major source of the high number of casualties and
fatalities during the construction of deep underground projects. Rockburst poses a severe …

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 …

Prioritizing and analyzing the role of climate and urban parameters in the confirmed cases of COVID-19 based on artificial intelligence applications

S Shaffiee Haghshenas, B Pirouz… - International journal of …, 2020 - mdpi.com
Nowadays, an infectious disease outbreak is considered one of the most destructive effects
in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an …