Spatial analyses of exploration evidence data to model skarn-type copper prospectivity in the Varzaghan district, NW Iran
Recognition of significant ore-forming processes, which control mineralization, improves the
efficiency of mineral prospectivity modeling. In this study, controlling processes of skarn …
efficiency of mineral prospectivity modeling. In this study, controlling processes of skarn …
[HTML][HTML] Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity map** at the Kuh–Lakht epithermal gold …
Mineral prospectivity map** (MPM) is a new tool in mineral exploration with the objective
of gathering and integrating multi-source evidence to provide decision-making criteria for …
of gathering and integrating multi-source evidence to provide decision-making criteria for …
The spatial distribution and frequency of street, plot and building types across five European cities
M Berghauser Pont, G Stavroulaki… - … and Planning B …, 2019 - journals.sagepub.com
Typologies have always played an important role in urban planning and design practice and
formal studies have been central to the field of urban morphology. These studies have …
formal studies have been central to the field of urban morphology. These studies have …
Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning
Y Jiang, W Wang, L Zou, Y Cao - Acta Geotechnica, 2024 - Springer
Data-driven model has been increasingly used in landslide susceptibility map** (LSM).
However, the traditional landslide susceptibility assessment lacks reasonable and effective …
However, the traditional landslide susceptibility assessment lacks reasonable and effective …
Application of cluster analysis to geochemical compositional data for identifying ore-related geochemical anomalies
S Zhou, K Zhou, J Wang, G Yang, S Wang - Frontiers of Earth Science, 2018 - Springer
Cluster analysis is a well-known technique that is used to analyze various types of data. In
this study, cluster analysis is applied to geochemical data that describe 1444 stream …
this study, cluster analysis is applied to geochemical data that describe 1444 stream …
Blind source separation of spectrally filtered geochemical signals to recognize multi-depth ore-related enrichment patterns
This contribution conceptualizes a blind source separation (BSS) model to recover sources
of geochemical signals such that multi-depth ore-related enrichment patterns in complex …
of geochemical signals such that multi-depth ore-related enrichment patterns in complex …
A novel hierarchical clustering analysis method based on Kullback–Leibler divergence and application on dalaimiao geochemical exploration data
In this paper, we propose a new hierarchical clustering analysis method (HCA) that uses
Kullback–Leibler divergence (DKLS) of pairwise geochemical datasets of geo-objects (eg …
Kullback–Leibler divergence (DKLS) of pairwise geochemical datasets of geo-objects (eg …
Spatio-geologically informed fuzzy classification: an innovative method for recognition of mineralization-related patterns by integration of elemental, 3D spatial, and …
Recognition and map** of mineralization-related patterns in geochemical data is a key
computational analysis to achieve a predictive model of prospectivity for mineral deposit …
computational analysis to achieve a predictive model of prospectivity for mineral deposit …
Semi-supervised self-training method based on an optimum-path forest
J Li, Q Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
Semi-supervised self-training method can train an effective classifier by exploiting labeled
and unlabeled samples. Recently, a self-training method based on density peaks of data …
and unlabeled samples. Recently, a self-training method based on density peaks of data …