Geological map of Varcheh, 1: 100,000 scale

Bioactive peptide fractions from collagen hydrolysate of common carp fish by-product: antioxidant and functional properties

JM Lorenzo Bioactive Peptide Fractions from Collagen Hydrolysate of Common Carp Fish Byproduct: Antioxidant and Functional Properties., 2022, 11 …

Design and simulation of the artificial magnetic conductors in the microwave frequency band

www.sciencedirect.com/science/article/pii/S0375674225000871

A semi-supervised learning framework for intelligent mineral prospectivity mapping: Incorporation of the CatBoost and Gaussian mixture model algorithms

… This research endeavors to present a prospective model for Mississippi Valley-Type lead and zinc deposits employing a semi-supervised approach in the Varcheh district, western Iran. …

link.springer.com/article/10.1007/s12145-024-01404-5

Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms

The current research employed the least absolute shrinkage and selection operator (Lasso) and Elastic-net algorithms to examine their potential utilization in MVT Pb-Zn prospectivity …

www.scirp.net/pdf/ojg_2016091414242786.pdfPDF

Conditions of Ore-Mineralization and Geochemical Correlation of Rare-Elements at the Robat Pb-Zn Deposit, West of Khomein, Central Iran

The Robat geological study area is located 32 Km west-northwest of Khomein town. From the geo-structural point of view, it is in the median part of the Sanandaj-Sirjan zone [1], and …

link.springer.com/article/10.1007/s11053-023-10249-6

A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm …

… We realized that in the Varcheh district, the minimum distance between any Pb–Zn deposit site and another Pb– Zn deposit location in which there is an 80% chance of a nearby Pb–Zn …

link.springer.com/article/10.1007/s12145-025-01843-8

Enhancing regional-scale Pb–Zn prospectivity mapping through data augmentation: Joint application of unsupervised random forests and convolutional neural …

… This paper utilizes various data types, including the 1:100,000 geological map of the Varcheh region, ASTER satellite image, and 1292 stream sediment geochemical samples, to …

www.sciencedirect.com/science/article/pii/S0169136825003439

A semi-supervised approach for mineral prospectivity mapping via weighted positive-unlabeled learning and tree-structured parzen estimator for …

… To demonstrate its applicability, the proposed approach is applied to the Varcheh Pb-Zn deposit in western Iran. This framework enables the prediction of mineral potential in previously …