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 …

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting

J Zhou, Y Zhang, Y Qiu - Artificial Intelligence Review, 2024 - Springer
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …

Assessment of the ground vibration during blasting in mining projects using different computational approaches

S Hosseini, J Khatti, BO Taiwo, Y Fissha, KS Grover… - Scientific Reports, 2023 - nature.com
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

J Zhou, PG Asteris, DJ Armaghani, BT Pham - Soil Dynamics and …, 2020 - Elsevier
The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …

Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques

S Hosseini, R Pourmirzaee, DJ Armaghani… - Scientific Reports, 2023 - nature.com
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …

Airblast prediction through a hybrid genetic algorithm-ANN model

D Jahed Armaghani, M Hasanipanah… - Neural Computing and …, 2018 - Springer
Air overpressure is one of the most undesirable destructive effects induced by blasting
operation. Hence, a precise prediction of AOp has vital importance to minimize or reduce the …

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

M Hasanipanah, D Jahed Armaghani… - Neural Computing and …, 2017 - Springer
Drilling and blasting is a widely-used method for rock fragmentation in open-pit mines,
tunneling and civil projects. Flyrock, as one of the most dangerous effects induced by …

Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

R Shirani Faradonbeh, D Jahed Armaghani… - International journal of …, 2016 - Springer
Blasting is a widely used technique for rock fragmentation in opencast mines and tunneling
projects. Ground vibration is one of the most environmental effects produced by blasting …

Employing remote sensing, data communication networks, ai, and optimization methodologies in seismology

MS Abdalzaher, HA Elsayed… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Seismology is among the intrinsic sciences that strictly affect human lives. Many research
efforts are presented in the literature aiming at achieving risk mitigation and disaster …

A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration

H Zhang, J Zhou, D Jahed Armaghani, MM Tahir… - Applied Sciences, 2020 - mdpi.com
In mining and civil engineering applications, a reliable and proper analysis of ground
vibration due to quarry blasting is an extremely important task. While advances in machine …