@inproceedings{MTMT:34727707,
	title = {Effect of silicic acid on thermal and rheological properties of some lava analog mixtures},
	url = {https://m2.mtmt.hu/api/publication/34727707},
	author = {Bokharaeian, Mahsa and Novák, Levente and Tóth, László and Csámer, Árpád},
	booktitle = {XXII International Conference of Young Geologists},
	unique-id = {34727707},
	year = {2023},
	pages = {20-22},
	orcid-numbers = {Tóth, László/0000-0003-3560-1044; Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:34397785,
	title = {The geochemistry, origin, and hydrothermal alteration mapping associated with the gold-bearing quartz veins at Hamash district, South Eastern Desert, Egypt},
	url = {https://m2.mtmt.hu/api/publication/34397785},
	author = {Abdel-Rahman, Ahmed M. and El-Desoky, Hatem M. and Rady, Ali Shebl and El-Awny, Hamada and Amer, Yahia Z. and Csámer, Árpád},
	doi = {10.1038/s41598-023-42313-9},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {13},
	unique-id = {34397785},
	issn = {2045-2322},
	abstract = {Integrating diverse techniques and datasets, significantly enhances the accurate identification of various mineral deposits. This work aims to determine different types of mineral deposits in the Hamash district (Southern Eastern Desert, Egypt) by combining structural features (derived from ALOS PALSAR DEM), alteration zones (detected using ASTER and Sentinel-2), and ore mineralogy. Multispectral imaging, such as ASTER and Sentinel-2 satellite data, provides a cost-effective and efficient tool for lithological and hydrothermal alteration mapping utilizing selective band ratios (SBR), directed principal component analysis (DPCA), feature-oriented false-color composites (FFCC), and constrained energy minimization (CEM). The deductions drawn from the analysis of ASTER and Sentinel 2 satellite data are solidly corroborated through meticulous investigations of pre-existing lithological maps in the study area, on-site validation via fieldwork, and robust laboratory analysis, attesting to reliable results. Validation of remote sensing results was performed through field observations, petrographic investigations, X-ray diffraction technique (XRD), and SEM–EDX analyses. Based on ore mineralogy derived from XRD and SEM results the quartz-vein-associated ore minerals in the Hamash district include chalcopyrite, pyrite, hematite, goethite, bornite, covellite, and gold. According to the present paragenesis, the mineralization in the study area is classified into three types: sulfide mineralized zone, transitional zone, and supergene zone. Using an ore microscope, our studies identified that the alteration zones include gold-bearing sulfide minerals as well as the minerals goethite and malachite. In gold-bearing quartz samples, the concentrations of Cu, As, Ag, and Sb are positively correlated with Au at the degree of shear deformation. According to data gathered from the fire assay results, Au content varied from 0.027 to 57.20 ppm, along with Cu (10–6484 ppm), Ag (0.5–20.5 ppm), As (5–2046 ppm), Zn (3–1095 ppm), Pb (2–1383 ppm), and Sb (5–23). Our results confirmed that the Hamash region is one of the most important gold-bearing sites, with gold concentrations ranging from 0.027 up to 57.20 ppm. Furthermore, the current contribution highlighted four stages in the paragenetic sequence of the recorded ores, including magmatic, metamorphic, hydrothermal, and supergene by origin, indicating a considered similarity with the known Egyptian gold sites regarding host rocks, mineralization style, alteration assemblage, and several ore mineral conditions.},
	year = {2023},
	eissn = {2045-2322},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:34127620,
	title = {PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the Support Vector Machine, Random Forest, and XG Boost Machine Learning Algorithms},
	url = {https://m2.mtmt.hu/api/publication/34127620},
	author = {Rady, Ali Shebl and Abriha, Dávid and Fahil, Amr S. and El-Dokouny, Hanna A. and Elrasheed, Abdelmajeed A. and Csámer, Árpád},
	doi = {10.1016/j.oregeorev.2023.105652},
	journal-iso = {ORE GEOL REV},
	journal = {ORE GEOLOGY REVIEWS},
	volume = {161},
	unique-id = {34127620},
	issn = {0169-1368},
	abstract = {In essence, targeting mineralization necessitates exact structural delineation and thorough lithological mapping. The latter is still a challenge for geologists and its lack hinders meticulous exploration for various mineralizations. Here we show for the first time over a case study from Arabian Nubian Shield (ANS), the application of hyperspectral PRISMA (PRecursore IperSpettrale della Missione Applicativa) data for objective lithological mapping using the well-known Random Forest (RF), XGboost (XGB), and Support Vector Machine (SVM) algorithms. Our results manifested the worthiness of PRISMA data in further lithological mapping, especially with SVM with a resultant accuracy depending mainly on the input data combination. Upon field verification, the current research reveals the usefulness of PRISMA and its preceding four principal components in delivering a detailed lithological map for the study area. Additionally, the eligibility of RF, XGB, and SVM was confirmed in delivering acceptable results. SVM exceeds XGB and RF in their overall accuracy (95 %, 92 %, and 90 % for SVM, XGB, and RF respectively). Our research strongly recommends blending the vantages of Machine Learning Algorithms' (MLAs) objectivity and the wealth of PRISMA spectral coverage for further precise lithological mapping before applicable mineral exploration programs in similar terrains.},
	year = {2023},
	eissn = {1872-7360},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:34071765,
	title = {Rheological study of lava flow analog mixtures},
	url = {https://m2.mtmt.hu/api/publication/34071765},
	author = {Bokharaeian, Mahsa and Novák, Levente and Csámer, Árpád},
	doi = {10.13168/AGG.2023.0002},
	journal-iso = {ACTA GEODYN GEOMATER},
	journal = {ACTA GEODYNAMICA ET GEOMATERIALIA},
	volume = {20},
	unique-id = {34071765},
	issn = {1214-9705},
	year = {2023},
	pages = {11-18},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:34037424,
	title = {Impact of DEMs for Improvement Sentinel 2 Lithological Mapping Utilizing Support Vector Machine: A Case Study of Mineralized Fe-Ti-Rich Gabbroic Rocks from the South Eastern Desert of Egypt},
	url = {https://m2.mtmt.hu/api/publication/34037424},
	author = {Shebl, Ali and El-Desoky, Hatem M. and Abdel-Rahman, Ahmed M. and Fahmy, Wael and El-Awny, Hamada and El-Sherif, Anas and El-Rahmany, Mahmoud M. and Csámer, Árpád},
	doi = {10.3390/min13060826},
	journal-iso = {MINERALS-BASEL},
	journal = {MINERALS},
	volume = {13},
	unique-id = {34037424},
	abstract = {Fused remote sensing datasets have greatly contributed to enhancing lithological targets and providing significant information for mineral exploration. For instance, multispectral datasets can discriminate rock units through their unique spectral signatures. Digital Elevation Models (DEMs) could be an effective tool boosting lithological discrimination based mainly on their topographic variations. Consequently, the current study applied the power of the support vector machine (SVM) algorithm and the integrated Phased Array L-type band Synthetic Aperture Radar (PALSAR) DEM and multispectral Sentinel 2 data to: 1—Create an updated lithological map of a poorly mapped arid terrain (Khashir-Ras El-Kharit district, Eastern Desert of Egypt), and 2—Compare and assess the distribution of ferrogabbros with the aim of improving the localization of these rock bodies and investigating their mineral content. Our results enhanced the lithological mapping and revealed a better generalization of mineralized ferrogabbros when the input was a fused DEM with Sentinel 2 compared to the salt and pepper effect observed when adopting the Sentinel 2 solely as the input data. Additionally, the current research strongly recommends detailed exploration programs for Fe-Ti oxide ores within the gabbroic rocks delineated through the resultant thematic map. The ferrogabbros were subjected to a comprehensive analysis involving whole rock geochemistry, XRD, EDX, and light-reflecting investigations, which revealed the existence of magnetite, titanomagnetite, and hematite. The titanomagnetite crystals display subhedral morphology and exhibit fine- to medium-grained surfaces with irregular shapes. X-ray diffraction (XRD) analysis revealed the presence of magnetite and hematite in the concentrated Fe-Ti oxides. Additionally, the whole rock geochemistry highlighted the origin of the ferrogabbros and their proposed tectonic setting as an alkaline to calc-alkaline magma type that developed in a continental arc setting.},
	year = {2023},
	eissn = {2075-163X},
	orcid-numbers = {Shebl, Ali/0000-0001-7285-285X; Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:33801641,
	title = {Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data},
	url = {https://m2.mtmt.hu/api/publication/33801641},
	author = {Rady, Ali Shebl and Abdellatif, Mahmoud and Badawi, Mohamed and Dawoud, Maher and Fahil, Amr S. and Csámer, Árpád},
	doi = {10.1038/s41598-023-34531-y},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {13},
	unique-id = {33801641},
	issn = {2045-2322},
	abstract = {Integrating various tools in targeting mineral deposits increases the chance of adequate detection and characterization of mineralization zones. Selecting a convenient dataset is a key for a precise geological and hydrothermal alteration mapping. Remote sensing and airborne geophysical data have proven their efficiency as tools for reliable mineral exploration. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced land imager (ALI), Landsat 8 (L8), and Sentinel 2 data are widely-used data among various types of remote sensing images in resolving lithological and hydrothermal alteration mapping over the last two decades. ASTER is a well-established satellite in geological remote sensing with detailed Short-wave infrared (SWIR) range compared to visible and near-infrared region (VNIR) that controls iron-associated alteration detection. On contrary, ALI has excellent coverage of the VNIR area (6 bands), but does not possess the potentiality of ASTER for the SWIR and thermal regions. Landsat 8 is widely used and highly recommended for lithological and hydrothermal alteration mapping. The higher spatial (up to 10 m) resolution of Sentinel 2 MSI has preserved its role in producing accurate geological mapping. Notwithstanding the foregoing, implementing the four datasets in a single study is time-consuming. Thus, an important question when commencing an exploration project for hydrothermal alterations-related mineralization (orogenic mineral deposits in the current research) is: which dataset should be adopted to fulfill proper and adequate outputs? Here the four widely recommended datasets (ASTER, ALI, L8, and sentinel 2) have been tested by applying the widely-accepted techniques (false color combinations, band ratios, directed principal component analysis, and constrained energy minimization) for geological and hydrothermal alteration mapping of Gabal El Rukham-Gabal Mueilha district, Egypt. The study area is covered mainly by Neoproterozoic heterogeneous collection of ophiolitic components, island arc assemblage, intruded by enormous granitic rocks. Additionally, airborne magnetic and radiometric data were applied and compared with the remote sensing investigations for deciphering the structural and hydrothermal alteration patterns within the study area. The results demonstrated a different extent from one sensor to another, highlighting their varied efficacy in detecting hydrothermal alterations (mainly hydroxyl-bearing alterations and iron oxides). Moreover, the analysis of airborne magnetic and radiometric data showed hydrothermal alteration zones that are consistent with the detected alteration pattern. The coincidence between high magnetic anomalies, high values of the K/eTh ratio, and the resultant alterations confirm the real alteration anomalies. Over and above that, the remote sensing results and airborne geophysical indications were verified with fieldwork and petrographic investigations, and strongly recommend combining ASTER and Sentinel 2 results in further investigations. Based on the outputs of the current research, we expect better hydrothermal alteration delineation by adopting the current findings as they sharply narrow the zones to be further investigated via costly geophysical and geochemical methods in mineral exploration projects.},
	year = {2023},
	eissn = {2045-2322},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@inproceedings{MTMT:34727801,
	title = {Numerical simulation of Mudflow by SPH method},
	url = {https://m2.mtmt.hu/api/publication/34727801},
	author = {Bokharaeian, Mahsa and Naderi, Reza and Csámer, Árpád},
	booktitle = {Az Elmélet És a Gyakorlat Találkozása a Térinformatikában Xiii. Theory Meets Practice in Gis},
	unique-id = {34727801},
	year = {2022},
	pages = {83-88},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:33252233,
	title = {Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area, Central Eastern Desert, Egypt},
	url = {https://m2.mtmt.hu/api/publication/33252233},
	author = {Abdelkader, Mohamed A. and Watanabe, Yasushi and Rady, Ali Shebl and El-Dokouny, Hanna A. and Dawoud, Maher and Csámer, Árpád},
	doi = {10.1016/j.oregeorev.2022.105184},
	journal-iso = {ORE GEOL REV},
	journal = {ORE GEOLOGY REVIEWS},
	volume = {150},
	unique-id = {33252233},
	issn = {0169-1368},
	year = {2022},
	eissn = {1872-7360},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:33139762,
	title = {Multiscale mineralogical investigations for mineral potentiality mapping of Ras El-Kharit-Wadi Khashir district, Southern Eastern Desert, Egypt},
	url = {https://m2.mtmt.hu/api/publication/33139762},
	author = {El-Desoky, Hatem M. and Rady, Ali Shebl and Abdel-Rahman, Ahmed M. and Fahmy, Wael and El-Awny, Hamada and El-Sherif, Anas M. and El-Rahmany, Mahmoud M. and Csámer, Árpád},
	doi = {10.1016/j.ejrs.2022.09.001},
	journal-iso = {EGYPT J REMOTE SENS},
	journal = {Egyptian Journal of Remote Sensing and Space Science},
	volume = {25},
	unique-id = {33139762},
	issn = {1110-9823},
	year = {2022},
	eissn = {2090-2476},
	pages = {941-960},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}

@article{MTMT:32996710,
	title = {Multi-criteria ground water potentiality mapping utilizing remote sensing and geophysical data: A case study within Sinai Peninsula, Egypt},
	url = {https://m2.mtmt.hu/api/publication/32996710},
	author = {Rady, Ali Shebl and Abdelaziz, Mahmoud Ibrahim Mahmoud and Ghazala, Hosni and Araffa, Sultan Awad Sultan and Abdellatif, Mahmoud and Csámer, Árpád},
	doi = {10.1016/j.ejrs.2022.07.002},
	journal-iso = {EGYPT J REMOTE SENS},
	journal = {Egyptian Journal of Remote Sensing and Space Science},
	volume = {25},
	unique-id = {32996710},
	issn = {1110-9823},
	year = {2022},
	eissn = {2090-2476},
	pages = {765-778},
	orcid-numbers = {Csámer, Árpád/0000-0003-2374-2413}
}