Quantification of model uncertainty and variability for landslide displacement prediction based on Monte Carlo simulation
Reliable and accurate prediction of landslide displacement is essential for early warning
systems, as well as for disaster prevention and mitigation. Machine learning and deep …
systems, as well as for disaster prevention and mitigation. Machine learning and deep …
[HTML][HTML] Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system …
Various mineral prospectivity modelling (MPM) approaches are available for targeting
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …
mineral deposits, each method capable of predicting areas of high prospectivity. Given the …
[HTML][HTML] Decision-making within geochemical exploration data based on spatial uncertainty–A new insight and a futuristic review
In mineral prospectivity mapping, limitations in the density of geochemical sampling that can
be collected across a region may generate the need for interpolation of data between …
be collected across a region may generate the need for interpolation of data between …
3-D Structural geological models: Concepts, methods, and uncertainties
F Wellmann, G Caumon - Advances in geophysics, 2018 - Elsevier
The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …
investigations. Even though most practitioners would agree that all available information …
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid …
M Abbaszadeh, S Soltani-Mohammadi… - Computers & …, 2022 - Elsevier
The support vector classifier (SVC) is one of the most powerful machine learning algorithms.
This algorithm has been accepted as an effective method in three-dimensional geological …
This algorithm has been accepted as an effective method in three-dimensional geological …
[HTML][HTML] Multi-level voxel representations for digital twin models of tunnel geological environment
H Wu, Q Zhu, Y Guo, W Zheng, L Zhang… - International Journal of …, 2022 - Elsevier
Intelligent tunnel engineering requires accurate and comprehensive digital twin models to
represent complex geological environments. The digital twin model of tunnel geological …
represent complex geological environments. The digital twin model of tunnel geological …
3D geological structure inversion from Noddy-generated magnetic data using deep learning methods
Using geophysical inversion for three-dimensional (3D) geological modeling is an effective
way to model underground geological structures. In this study, we propose and investigate a …
way to model underground geological structures. In this study, we propose and investigate a …
Multi-view spectral clustering for uncertain objects
In the machine learning and pattern recognition fraternity, uncertain data clustering is an
essential job because uncertainty in data makes the clustering process more difficult …
essential job because uncertainty in data makes the clustering process more difficult …
Outlier-robust multi-view clustering for uncertain data
Nowadays, multi-view clustering is drawn more and more attention in the area of machine
learning because real-world datasets frequently consist of multiple views. Moreover, it …
learning because real-world datasets frequently consist of multiple views. Moreover, it …
A simulation-based framework for modulating the effects of subjectivity in greenfield mineral prospectivity mapping with geochemical and geological data
M Parsa, AB Pour - Journal of Geochemical Exploration, 2021 - Elsevier
Abstract Mineral Prospectivity Mapping (MPM) is a multifaceted process relying heavily on
experts' judgments. Notwithstanding the importance of human interpretations and cognitive …
experts' judgments. Notwithstanding the importance of human interpretations and cognitive …