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 …
Application of reliability-based back-propagation causality-weighted neural networks to estimate air-overpressure due to mine blasting
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
This study aims to build a 3D velocity model for investigating and evaluating underground
contaminants flowing through groundwater pathways. To accomplish this goal, we …
contaminants flowing through groundwater pathways. To accomplish this goal, we …