35 Years of (AI) in geotechnical engineering: state of the art

AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

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 …

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 …

Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques

R Shirani Faradonbeh, A Taheri - Engineering with Computers, 2019 - Springer
Rockburst phenomenon is the extreme release of strain energy stored in surrounding rock
mass which could lead to casualties, damage to underground structures and equipment and …

Application of self-organizing map and fuzzy c-mean techniques for rockburst clustering in deep underground projects

R Shirani Faradonbeh, S Shaffiee Haghshenas… - Neural Computing and …, 2020 - Springer
One of the main concerns associated with deep underground constructions is the violent
expulsion of rock induced by unexpected release of strain energy from surrounding rock …

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 …

Feasibility of intelligent models for prediction of utilization factor of TBM

AM Noori, R Mikaeil, M Mokhtarian… - Geotechnical and …, 2020 - Springer
Performance prediction of the tunnel boring machine (TBM) in the construction of urban
tunnels is under the consideration of tunnel experts due to its ability in minimizing the time …

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 …

Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data

LC Brito, MB da Silva, MAV Duarte - Journal of Intelligent Manufacturing, 2021 - Springer
One of the most important parameters in machining process is tool wear. Thus, monitoring
the wear of cutting tools is essential to ensure product quality, increase productivity, reduce …