Dr. Seyed Hassan Tabatabaei

Dr. Seyed Hassan Tabatabaei

Dr. Seyed Hassan Tabatabaei
tabatabaei@iut.ac.ir
Office
Department of Mining Engineering, Isfahan University of Technology (IUT), Isfahan, Iran. P.C: 84156883111
Phone
+98 311 3915104
Fax
+98 311 3912776
Positions
Professor of Mining Engineering
Research Interests
Geochemical exploration of metallic and non-metallic deposits
GIS & RS
Data Mining
Environmental Geochemistry
type: Journal
Title Conference / Journal Date
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information Scientific Reports
Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine Frontiers in Earth Science
Adopting a cell-based method to identify mineralized geological structures in support of mineral prospectivity mapping at the Kuh-Lakht epithermal gold deposit, Central Iran ORE GEOLOGY REVIEWS
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data
Improving the accuracy of detecting and ranking favorable porphyry copper prospects in the east of Sarcheshmeh copper mine region using a two-step sequential Fuzzy - Fuzzy TOPSIS integration approach
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization
Data-driven logistic function for weighting of geophysical evidence layers in mineral prospectivity mapping
Empirical mode decomposition and power spectrum filtering for detection of frequency channels related to multi-scale geochemical anomalies: Metal exploration targeting in Moalleman district, NE Iran
type: Conference
Title Date
بهبود شناسايي دگرساني هاي مرتبط با كاني زايي مس پورفيري در محدوده كانساركوه پنج استان كرمان با استفاده از روشهاي تقويت داده در ساختار شبكه عميق U-net
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