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

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 …

Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression …

J Khatti, KS Grover - Multiscale and multidisciplinary modeling …, 2023 - Springer
The present research introduces the best architecture approach and model for predicting the
unconfined compressive strength (UCS) of cohesive virgin soil by comparing the …

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

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 …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

A data-driven field-scale approach to estimate the permeability of fractured rocks

D Li, R Shirani Faradonbeh, A Lv, X Wang… - International Journal of …, 2022 - Taylor & Francis
In this study, based on compiled numerical-experimental datasets, important variables,
including porosity, density, compressional and shear wave velocity, were utilised to develop …

Predicting ultimate condition and transition point on axial stress–strain curve of FRP-confined concrete using a meta-heuristic algorithm

AF Pour, RS Faradonbeh, A Gholampour, TD Ngo - Composite Structures, 2023 - Elsevier
Accurately predicting key reference points on the axial stress–strain curve of fiber-reinforced
polymer (FRP)-confined concrete is of great importance for the pre-design and modeling of …

[HTML][HTML] Application of harmony search algorithm to slope stability analysis

SS Haghshenas, SS Haghshenas, ZW Geem, TH Kim… - Land, 2021 - mdpi.com
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical
engineering and its study plays a paramount role in mitigating the risk associated with the …