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 …

Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting

S Hosseini, R Poormirzaee, M Hajihassani - Engineering Applications of …, 2022 - Elsevier
In the present study, the air-overpressure (AOp) due to mine blasting is predicted using an
uncertainty intelligence method based on the Z-number reliability and fuzzy cognitive map …

An ANN-Fuzzy Cognitive Map-Based Z-Number Theory to Predict Flyrock Induced by Blasting in Open-Pit Mines

S Hosseini, R Poormirzaee, M Hajihassani… - Rock Mechanics and …, 2022 - Springer
Blasting is widely employed as an accepted mechanism for rock breakage in mining and
civil activities. As an environmental side effect of blasting, flyrock should be investigated …

Development of an ANN-Based Technique for Inversion of Seismic Refraction Travel Times

R Pourmirzaee, S Hosseini - Journal of Environmental and …, 2024 - library.seg.org
Non-uniqueness in the inversion of seismic data can be considered the main challenge for
the application of such data. Prior information, such as downhole data, can be used to …

Characterizing the Vs profile from surface wave data using a customized artificial jellyfish search algorithm

R Poormirzaee, A Kabgani - Pure and Applied Geophysics, 2022 - Springer
Abstract S-wave velocity (Vs), as a crucial parameter in the study of site effects, has been
investigated extensively. In the last decade, the use of the surface wave analysis technique …

Seismic refraction data analysis using machine learning and numerical modeling for characterization of dam construction sites

R Poormirzaee, B Sohrabian, P Tahmasebi - Geophysics, 2022 - library.seg.org
Seismic refraction is a cost-effective tool to reveal subsurface compressional wave (P-wave)
velocity. Inversion of traveltimes for estimating a realistic velocity model is a significant step …

Integration of data and algorithms in solving inverse problems of spectroscopy of solutions by machine learning methods

A Guskov, K Laptinskiy, S Burikov, I Isaev - International Conference on …, 2022 - Springer
This study presents the results of solving the inverse problem of determining the
concentrations of heavy metal ions of multicomponent solutions by their Raman and …

Vs Profiling by the Inversion of Rayleigh Wave Ellipticity Curve Using a Hybrid Artificial Intelligence Method

S Angardi, RV Poursorkhabi, AZ Shirvanehdeh… - Pure and Applied …, 2024 - Springer
Adequate estimation of S-wave velocity (Vs) structure is a significant parameter in the
seismic micro zonation studies. To this purpose, different techniques, such as down-hole …

[PDF][PDF] Examining the Boundaries of Machine Learning and Deep Learning: A Thorough Review of the Main Obstacles in Missing Well Log Estimation

PT Dongapure - Applied Mathematics on Science and Engineering, 2024 - furthersci.org
In geotechnical engineering, environmental research, and the discovery and extraction of
minerals, oil, natural gas, groundwater, and subsurface thermal energy, well logging is an …

3D near-surface velocity model building by integrating surface, borehole seismic, and well-logging data in a small-scale testbed

G Lee, S Pyun, Y Chung, J Shin, MJ Nam… - … of Environmental and …, 2023 - library.seg.org
This study aims to build a 3D velocity model for investigating and evaluating underground
contaminants flowing through groundwater pathways. To accomplish this goal, we …