[HTML][HTML] Geo-constrained clustering of resistivity data revealing the heterogeneous lithological architectures and the distinctive geoelectrical signature of shallow …
For all applications, subsurface models should be consistent with all available geological
and geophysical knowledge. Current practices for synergistic interpretation of geological …
and geophysical knowledge. Current practices for synergistic interpretation of geological …
Probabilistic petrophysical reconstruction of Danta's Alpine peatland via electromagnetic induction data
N Zaru, S Silvestri, M Assiri, P Bai… - Earth and Space …, 2024 - Wiley Online Library
Peatlands are fundamental deposits of organic carbon. Thus, their protection is of crucial
importance to avoid emissions from their degradation. Peat is a mixture of organic soil that …
importance to avoid emissions from their degradation. Peat is a mixture of organic soil that …
[HTML][HTML] Enhanced lithological mapping via remote sensing: Employing SVM, random trees, ANN, with MNF and PCA transformations
MA El-Omairi, M El Garouani, A El Garouani - The Egyptian Journal of …, 2025 - Elsevier
This study examines the performance of three classification algorithms—Support Vector
Machines (SVM), Random Trees (RT), and Artificial Neural Networks (ANN)—applied to …
Machines (SVM), Random Trees (RT), and Artificial Neural Networks (ANN)—applied to …