Automated Rock Quality Designation Using Convolutional Neural Networks

Article Properties
Abstract
Cite
Alzubaidi, Fatimah, et al. “Automated Rock Quality Designation Using Convolutional Neural Networks”. Rock Mechanics and Rock Engineering, vol. 55, no. 6, 2022, pp. 3719-34, https://doi.org/10.1007/s00603-022-02805-y.
Alzubaidi, F., Mostaghimi, P., Si, G., Swietojanski, P., & Armstrong, R. T. (2022). Automated Rock Quality Designation Using Convolutional Neural Networks. Rock Mechanics and Rock Engineering, 55(6), 3719-3734. https://doi.org/10.1007/s00603-022-02805-y
Alzubaidi, Fatimah, Peyman Mostaghimi, Guangyao Si, Pawel Swietojanski, and Ryan T. Armstrong. “Automated Rock Quality Designation Using Convolutional Neural Networks”. Rock Mechanics and Rock Engineering 55, no. 6 (2022): 3719-34. https://doi.org/10.1007/s00603-022-02805-y.
Alzubaidi F, Mostaghimi P, Si G, Swietojanski P, Armstrong RT. Automated Rock Quality Designation Using Convolutional Neural Networks. Rock Mechanics and Rock Engineering. 2022;55(6):3719-34.
Journal Categories
Science
Geology
Science
Geology
Mineralogy
Science
Geology
Petrology
Technology
Engineering (General)
Civil engineering (General)
Engineering geology
Rock mechanics
Soil mechanics
Underground construction
Refrences
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Should the Use of Rock Quality Designation Be Discontinued in the Rock Mass Rating System? Rock Mechanics and Rock Engineering
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10.1016/J.IJRMMS.2018.10.032 International Journal of Rock Mechanics and Mining Sciences
  • Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction
  • Technology: Mining engineering. Metallurgy
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
  • Science: Geology
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Automatic Estimation Of Rock Quality Designation Based On An Improved YOLOv5 Rock Mechanics and Rock Engineering
  • Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction
  • Science: Geology
  • Science: Geology: Petrology
  • Science: Geology: Mineralogy
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 2024
Rock CT Image Fracture Segmentation Based on Convolutional Neural Networks Rock Mechanics and Rock Engineering
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  • Science: Geology: Mineralogy
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 2024
Vision-based size distribution analysis of rock fragments using multi-modal deep learning and interactive annotation Automation in Construction
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 2024
Comparative study on convolutional neural network and regression analysis to evaluate uniaxial compressive strength of Sandy Dolomite

 Scientific Reports
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Residual Convolutional Neural Network for Lithology Classification: A Case Study of an Iranian Gas Field

 International Journal of Energy Research
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations
  • Technology: Mechanical engineering and machinery: Renewable energy sources
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Nuclear engineering. Atomic power
  • Technology: Environmental technology. Sanitary engineering
  • Technology: Engineering (General). Civil engineering (General)
 2024
Citations Analysis
Category Category Repetition
Science: Geology7
Science: Geology: Petrology6
Science: Geology: Mineralogy6
Technology: Engineering (General). Civil engineering (General): Engineering geology. Rock mechanics. Soil mechanics. Underground construction5
Technology: Engineering (General). Civil engineering (General)4
Technology: Mechanical engineering and machinery4
Science: Mathematics: Instruments and machines: Electronic computers. Computer science2
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics2
Technology: Chemical technology: Chemical engineering1
Technology: Mining engineering. Metallurgy1
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations1
Technology: Mechanical engineering and machinery: Renewable energy sources1
Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade1
Technology: Electrical engineering. Electronics. Nuclear engineering: Nuclear engineering. Atomic power1
Technology: Environmental technology. Sanitary engineering1
Medicine1
Science1
Science: Science (General)1
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials1
Technology: Building construction: Architectural engineering. Structural engineering of buildings1
Technology: Engineering (General). Civil engineering (General): Environmental engineering1
Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics1
The category Science: Geology 7 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bulanık Mantık Algoritmaları ile Kaya Sınıflandırması and was published in 2023. The most recent citation comes from a 2024 study titled Comparative study on convolutional neural network and regression analysis to evaluate uniaxial compressive strength of Sandy Dolomite. This article reached its peak citation in 2023, with 9 citations. It has been cited in 12 different journals, 25% of which are open access. Among related journals, the Rock Mechanics and Rock Engineering cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year