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Ustvari opozorilo
R Zuo, Y ** of geochemical anomalies: Adaptation of DBSCAN and mean-shift clustering approaches
M Hajihosseinlou, A Maghsoudi… - Journal of Geochemical …, 2024 - Elsevier
Cluster analysis can be used to organize samples and generate ideas regarding the
multivariate geochemistry of given dataset. Traditional clustering techniques have the …
Shrani Navedi Navedeno v 32 virih Sorodni članki Vse različice: 2
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[HTML][HTML] Ensemble learning models with a Bayesian optimization algorithm for mineral prospectivity map**

J Yin, N Li - Ore geology reviews, 2022 - Elsevier
Abstract Machine learning algorithms have been widely applied in mineral prospectivity
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …
Shrani Navedi Navedeno v 76 virih Sorodni članki Vse različice: 3

Overview of deep learning

X Du, Y Cai, S Wang, L Zhang - 2016 31st Youth Academic …, 2016 - ieeexplore.ieee.org
In recent years, deep learning has achieved great success in many fields, such as computer
vision and natural language processing. Compared to traditional machine learning methods …
Shrani Navedi Navedeno v 436 virih Sorodni članki Vse različice: 2
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Map** mineral prospectivity through big data analytics and a deep learning algorithm

Y ** mineral prospectivity. In this study, we applied …
Shrani Navedi Navedeno v 179 virih Sorodni članki Vse različice: 3

Detection of the multivariate geochemical anomalies associated with mineralization using a deep convolutional neural network and a pixel-pair feature method

C Zhang, R Zuo, Y **ong - Applied Geochemistry, 2021 - Elsevier
Abstract Machine learning (ML) algorithms are widely applied in various fields owing to their
strong ability to abstract high-level features from a large number of training samples …
Shrani Navedi Navedeno v 87 virih Sorodni članki Vse različice: 4

Machine learning of mineralization-related geochemical anomalies: A review of potential methods

R Zuo - Natural Resources Research, 2017 - Springer
Research on processing geochemical data and identifying geochemical anomalies has
made important progress in recent decades. Fractal/multi-fractal models, compositional data …
Shrani Navedi Navedeno v 203 virih Sorodni članki Vse različice: 4

A physically constrained hybrid deep learning model to mine a geochemical data cube in support of mineral exploration

R Zuo, Y Xu - Computers & Geosciences, 2024 - Elsevier
Geochemical survey data provide rich information on geochemical elemental concentrations
and their spatial patterns in relation to mineralization or pollution. A geochemical data cube …
Shrani Navedi Navedeno v 23 virih Sorodni članki Vse različice: 3
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[HTML][HTML] Lithium exploration targeting through robust variable selection and deep anomaly detection: an integrated application of sparse principal component analysis …

S Esmaeiloghli, A Lima, B Sadeghi - Geochemistry, 2024 - Elsevier
Lithium is a strategic metal for high-technology industries that plays a vital role in realizing
electromobility and effective energy storage for smartphones and electric/hybrid vehicles, in …
Shrani Navedi Navedeno v 16 virih Sorodni članki Vse različice: 2
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