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 …
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
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 …
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
The investigation compares the conventional, advanced machine, deep, and hybrid learning
models to introduce an optimum computational model to assess the ground vibrations …
models to introduce an optimum computational model to assess the ground vibrations …
Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques
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 …
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …
Feasibility of indirect determination of blast induced ground vibration based on support vector machine
M Hasanipanah, M Monjezi, A Shahnazar… - Measurement, 2015 - Elsevier
Mines, quarries, and construction sites face blasting environmental problems due to high
level of ground vibrations. This phenomena can cause injury to both human and damage to …
level of ground vibrations. This phenomena can cause injury to both human and damage to …
Determinants of learning management systems during COVID-19 pandemic for sustainable education
Research has shown that effective and efficient learning management systems (LMS) were
the main reasons for sustainable education in developed nations during COVID-19 …
the main reasons for sustainable education in developed nations during COVID-19 …
A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
Air-blast overpressure (AOp) is one of the undesirable effects caused by blasting operations
in open-pit mines. This side effect of blasting can seriously undermine surrounding …
in open-pit mines. This side effect of blasting can seriously undermine surrounding …
A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
W Zhu, HN Rad, M Hasanipanah - Applied Soft Computing, 2021 - Elsevier
The use of explosives is a common and economical method to fragment and/or displace
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …
hard rocks in tunnels and surface and underground mines. Ground vibration, as a side …
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 …
projects. Ground vibration is one of the most environmental effects produced by blasting …
A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration
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 …
vibration due to quarry blasting is an extremely important task. While advances in machine …