Integrated remote sensing and geochemical studies for enhanced prospectivity mapping of porphyry copper deposits: A case study from the Pariz district, Urmia …

M Saremi, Z Hoseinzade, SAAS Mirzabozorg… - Remote Sensing …, 2024 - Elsevier
Mapping hydrothermal alteration zones associated with porphyry copper deposits (PCDs) is
crucial for identifying new exploration targets on a regional scale. Hydrothermal alteration …

[HTML][HTML] A state-of-the-art review of the BWM method and future research agenda

F Ecer - Technological and Economic Development of …, 2024 - aviation.vgtu.lt
The superiority of BWM over other weighting methods for obtaining the weight values of the
attributes is that it achieves high-confidence results with a reasonable number of pairwise …

Optimized AI-MPM: Application of PSO for tuning the hyperparameters of SVM and RF algorithms

M Daviran, A Maghsoudi, R Ghezelbash - Computers & Geosciences, 2025 - Elsevier
Modern computational techniques, particularly Support Vector Machines (SVM) and
Random Forest (RF) models, are revolutionizing predictive mineral prospectivity mapping …

3D inversion of gravity data using mixed Lp–Lq norm regularization, a case study for potash targeting at the Ghare-Aghaj deposit in Iran

B Sadraeifar, M Abedi - Carbonates and Evaporites, 2024 - Springer
Abstract The Ghare-Aghaj potash resource is one of the largest halokinetic-type potash-
bearing salt deposits in the northern part of the central Iran zone, within the Zanjan Province …

A three-stage evaluation model for biomass co-firing combined with carbon capture and storage (in oil wells) retrofit in coal-fired power plants based on multi-criteria …

Y Huang, L Liu, Y Zhen, C Wang, X Ning, K Li, T Wang… - Energy, 2024 - Elsevier
Coal-fired power plants can be retrofitted by biomass co-firing combined with CO 2 capture
and storage, reducing carbon emissions significantly. Site selection is an important task for …

Harnessing FinTech for sustainable mineral development with innovative financing strategies in China

J Niu, J He, Y He - Resources Policy, 2024 - Elsevier
The mining industry, a cornerstone of China's economic growth, stands at a crossroads,
facing the dual challenges of resource depletion and environmental degradation. In …

Evaluation and selection of sustainable hydrogen production technologies with unknown expert weights based on extended MARCOS under hybrid information

M Zhan, YL Li - International Journal of Hydrogen Energy, 2024 - Elsevier
The selection of sustainable hydrogen production technologies (HPT) is a paradigm
transformation for industrial enterprises to pursue commercial benefits and environmental …

Z-number based fuzzy MCDM models for analyzing non-traditional security threats to finance supply chains: A case study from Vietnam

PH Nguyen, LAT Nguyen, KA Nguyen, MAN Nguyen… - Heliyon, 2024 - cell.com
Non-traditional security (NTS) threats have a vast and profound impact on many aspects of
economic, political, social, and many other areas, especially supply chain finance (SCF) …

Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector …

M Daviran, R Ghezelbash, M Hajihosseinlou… - Modeling Earth Systems …, 2025 - Springer
This study investigates the challenges and opportunities presented by integrating genetic
algorithm (GA) with artificial intelligence-based mineral prospectivity mapping (AI-MPM) for …

Enhanced prediction of copper-polymetallic deposits in the Kalatag mining district using integrated SVM and GIS technology

W Xi, YY Ping, JT Tao, XY Ye, MR Fu, YW Zhang… - Earth Science …, 2025 - Springer
With the continuous depletion of shallow mineral resources, the exploration of deeper
mineral deposits has become increasingly crucial for sustaining global metal supply …