Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hamid Sabbaghi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Generative adversarial networks (GAN) and various deep autoencoders have been frequently executed to recognize multi-element geochemical anomalies linked to different ore resources in recent decade. Efficient recognition of multi-element geo
Externí odkaz:
https://doaj.org/article/d8ee0f6a580c45a1a9e547b4912e0e0b
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Recently, deep learning algorithms have been popularly developed for identifying multi-element geochemical patterns related to various mineralization occurrences. Effective recognition of multi-element geochemical anomalies is essential for mineral e
Externí odkaz:
https://doaj.org/article/296d3b39dc744c5e9fe77fd59d21fa40
Publikováno v:
Arabian Journal of Geosciences. 16
Publikováno v:
Journal of Applied Geophysics. 212:104986
Publikováno v:
Arabian Journal of Geosciences. 15
Autor:
Hamid Sabbaghi
Publikováno v:
Vibrational Spectroscopy. 99:93-99
This study attempts to identify and categorize turquoise stone based on its compounds and major factors that introduces its color change. Turquoise samples which are investigated in this study have been collected from the most important turquoise min
Autor:
Hamid Sabbaghi, Ali Moradzadeh
Publikováno v:
Journal of the Geological Society of India. 91:627-638
This study is an attempt to understand the application of spectral image processing methods to ASTER data for mapping host rock associated with porphyry copper-molybdenum mineralization. The application of remote sensing in identifying variations in
Publikováno v:
Journal of Applied Geophysics. 172:103915
In this research, we establish the ability of a famous Multi Criteria Decision Making (MCDM) technique which is called “The technique for order preference by similarity to ideal solution” (TOPSIS) in deposit scale studies. Zafarqand copper-molibd