Articles

type: Conference
Title Date Conference / journal
بهبود شناسايي آنومالي هاي ژئوشيميايي رسوبات آبراهه اي مس با استفاده از پارامتر شدت زهكشي در برگه 1:100000 ورزقان 14th Iranian Mining Enineering conference
چهاردهمين كنفرانس ملي مهندسي معدن ايران
ارزيابي ميزان آلودگي سرب و روي با استفاده از تحليل آماري داده هاي ژئوشيميايي در ورقه 1:100000 خنداب 13th Iranian Mining Engineering Conference and 8th International Mine and Mining Industries Congress
سيزدهمين كنفرانس مهندسي معدن ايران و هشتمين كنگره بين المللي معدن و صنايع معدني
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
استفاده از شبكه هاي عصبي كانولوشني سه بعدي در بهبود عملكرد جداسازي دگرساني هاي مربوط به كاني زايي مس پورفيري در محدوده جنوب غربي استان كرمان
ارزيابي اثر آناليز داده هاي تركيبي در استخراج ويژگي هاي ژئوشيميايي با مدل فاكتور مرحله اي
type: Journal
Title DOI Date Conference / journal
Multi-element geochemical anomaly recognition applying geologically-constrained convolutional deep learning algorithm with Butterworth filtering of frequency domain information 10.1038/s41598-025-27332-y Scientific Reports
Optimization of multi-element geochemical anomaly recognition in the Takht-e Soleyman area of northwestern Iran using swarm-intelligence support vector machine 10.3389/feart.2025.1352912 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 10.1016/j.oregeorev.2024.106175 ORE GEOLOGY REVIEWS
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data 10.1038/s41598-024-56644-8
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 10.1016/j.jaesx.2023.100166
Blind Source Separation of Spectrally Filtered Geochemical Signals to Recognize Multi-depth Ore-Related Enrichment Patterns 10.1007/s11004-023-10101-w
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization 10.1016/j.cageo.2023.105341
Data-driven logistic function for weighting of geophysical evidence layers in mineral prospectivity mapping 10.1016/j.jappgeo.2023.104986
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 10.1016/j.gexplo.2023.107157
Regimentation of geochemical indicator elements employing convolutional deep learning algorithm 10.3389/fenvs.2023.1076302
Execution of an applicable hybrid integration procedure for mineral prospectivity mapping 10.1007/s12517-022-11094-2
3DU-TA: A new multifractal model involving surface topography for separation of geochemical anomalies 10.1016/j.gexplo.2022.107061
Application of the most competent knowledge-driven integration method for deposit-scale studies 10.1007/s12517-022-10217-z
Detection of alteration zones using the Dirichlet process Stick-Breaking model-based clustering algorithm to hyperion data: the case study of Kuh-Panj porphyry copper deposits, Southern Iran 10.1080/10106049.2022.2025917
Application of Dirichlet Process and Support Vector Machine Techniques for Mapping Alteration Zones Associated with Porphyry Copper Deposit Using ASTER Remote Sensing Imagery 10.3390/min11111235