Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Moslem Fatehi"'
Autor:
Moslem Fatehi, Hooshang Asadi Haroni
Publikováno v:
Journal of Economic Geology, Vol 10, Iss 2, Pp 639-675 (2019)
Introduction Geophysical exploration is an inexpensive, fast and efficient tool to provide valuable information about the sub-surface geological complications (Dentith and Mudge, 2014). Modern geophysical methods are widely used to identify and chara
Externí odkaz:
https://doaj.org/article/934534049fce4da98cfe51f7f4b5aaed
Publikováno v:
Natural Resources Research. 29:1041-1061
Additional and complementary mineral exploration boreholes are often designed to obtain valuable information about mineralized intervals with the least cost. In this research, a new multi-criteria approach is proposed to design the optimum additional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ce5f001c4f1912eab318b55ae4a178
https://doi.org/10.1007/s11053-019-09484-7
https://doi.org/10.1007/s11053-019-09484-7
Autor:
Moslem Fatehi, Hooshang H. Asadi
Publikováno v:
Journal of African Earth Sciences. 128:147-160
In this study, the application of a transductive support vector machine (TSVM), an innovative semi-supervised learning algorithm, has been proposed for mapping the potential drill targets at a detailed exploration stage. The semi-supervised learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cc347246f814721dce5375e61dc7524
https://doi.org/10.1016/j.jafrearsci.2016.09.007
https://doi.org/10.1016/j.jafrearsci.2016.09.007
Autor:
Moslem Fatehi, Hooshang H. Asadi
Publikováno v:
Ore Geology Reviews. 81:245-255
Supervised and unsupervised learning methods are widely used to classify and cluster multivariate geochemical data. Supervised learning methods incorporate training functions to classify the geochemical data, whereas unsupervised learning methods ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17bf21eb61a52d5c4dfa474dfdbbbbcb
https://doi.org/10.1016/j.oregeorev.2016.10.002
https://doi.org/10.1016/j.oregeorev.2016.10.002
Publikováno v:
Acta Geodaetica et Geophysica. 52:555-580
In this paper we tackle the problem of inverting geophysical magnetic data due to simple shape anomalies caused by thin sheet, cylinder and fault models using Occam’s inversion scheme. A significant aspect of using Occam’s inversion is the choice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f75b072ba0918438a3d2fd7d635b172
https://doi.org/10.1007/s40328-017-0193-9
https://doi.org/10.1007/s40328-017-0193-9
Publikováno v:
Natural Resources Research. 25:417-429
The Salafchegan area in central Iran is a greenfield region of high porphyry Cu–Au potential, for which a sound prospectivity model is required to guide mineral exploration. Satellite imagery, geological geochemical, geophysical, and mineral occurr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f83e1c3852abb2a8e4901d3082de19
https://doi.org/10.1007/s11053-016-9290-7
https://doi.org/10.1007/s11053-016-9290-7
Publikováno v:
Ore Geology Reviews. 71:819-838
A Sugeno-type fuzzy inference system is implemented in the framework of an adaptive neural network to map Cu-Au prospectivity of the Urumieh-Dokhtar magmatic arc (UDMA) in central Iran. We use the hybrid "Adaptive Neuro Fuzzy Inference System" (ANFIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98dab4076070d6d0610b5f55b735574b
https://doi.org/10.1016/j.oregeorev.2014.12.001
https://doi.org/10.1016/j.oregeorev.2014.12.001
Publikováno v:
Journal of Geochemical Exploration. 208:106339
This research has aimed at employing unmixing method as a sediment tracing technique and its use in stream sediment geochemical exploration. Sediment tracing could be applied to determine the relative contributions of source units (Cij) to the metal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64c413259c47d3ae63ba2f0dece92764
https://doi.org/10.1016/j.gexplo.2019.106339
https://doi.org/10.1016/j.gexplo.2019.106339
Autor:
Parisa Roshani Rodsari, Ahmad Reza Mokhtari, Peyman Pournik, Shahed Shahrestani, Moslem Fatehi
Publikováno v:
Journal of African Earth Sciences. 100:278-288
Geochemical sampling and data processing were implemented for prospecting Cu mineralization through catchment basin approach in central Iran, Yazd province, over drainage systems in order to determine areas of interest for the detailed exploration pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::845b657b63a4b373b1382d24cca30031
https://doi.org/10.1016/j.jafrearsci.2014.07.004
https://doi.org/10.1016/j.jafrearsci.2014.07.004
Publikováno v:
Arabian Journal of Geosciences. 10
Geostatistical optimization in designing infill boreholes is an important cost-effective approach in increasing the accuracy of the tonnage and grade of an ore deposit. In this research, a new approach is proposed to design the optimum infill directi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f96199569b8aad08f7cde910736b468e
https://doi.org/10.1007/s12517-017-3209-4
https://doi.org/10.1007/s12517-017-3209-4