Detecting Mineralization Using Partial Element Extractions: A Case Study

Characterization of rare earth elements by coupling multivariate analysis, factor analysis, and geostatistical simulation; case-study of Gazestan deposit, central Iran

The traditional approaches of modeling and estimation of highly skewed deposits have led to incorrect evaluations, creating challenges and risks in resource management. The low concentration of the rare earth element (REE) deposits, on one hand, and their strategic importance, on the other, enhances the necessity of multivariate modeling of these deposits. The wide variations of the grades and ...

Detection of zinc-lead mineralization and associated alteration in the Mehdiabad deposit, Yazd province, using ASTER and Landsat 8-OLI satellite images

The Mehdiabad zinc-lead deposit, which is located at the East of Mehriz city, is a carbonate-hosted ore deposit lying in the dolomitic rocks of Taft Formation. This deposit is composed of oxide-carbonate and sulfide ores. Different spectral processing techniques were applied to ASTER and Landsat 8-OLI multispectral images to detect different mineralization zones and associated alterations. In O...

Detecting and Assessing Desertification using Landscape Metrics in GIS Environment (Case Study: Ain-e-khosh Region, Iran)

The processing and comprehension of wh-questions among second language speakers of German

Using the self-paced reading paradigm, the present study examines whether highly proficient second language (L2) speakers of German (English first language) use case-marking information during the on-line comprehension of unambiguous wh-extractions, even when task demands do not draw explicit attention to this morphosyntactic feature in German. Results support previous findings, in that both th...

عیب‌یابی سازه‌ها با استفاده از شاخص تابع پاسخ فرکانسی و مدل جایگزین مبتنی بر الگوریتم ماشین یادگیری حداکثر بهینه شده

Utilizing surrogate models based on artificial intelligence methods for detecting structural damages has attracted the attention of many researchers in recent decades. In this study, a new kernel based on Littlewood-Paley Wavelet (LPW) is proposed for Extreme Learning Machine (ELM) algorithm to improve the accuracy of detecting multiple damages in structural systems.  ELM is used as metamo...