@inproceedings{MTMT:35615103, title = {Pressure dependence of elasticity parameters}, url = {https://m2.mtmt.hu/api/publication/35615103}, author = {Turainé Vurom, Brigitta and Szűcs, István and Dobróka, Mihály}, booktitle = {Új eredmények a műszaki föld- és környezettudományban 2024}, unique-id = {35615103}, year = {2024}, pages = {126-135}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @inbook{MTMT:35166274, title = {Well Log Analysis by Global Optimization-Based Interval Inversion Method}, url = {https://m2.mtmt.hu/api/publication/35166274}, author = {Dobróka, Mihály and Szabó, Norbert Péter}, booktitle = {Artificial Intelligent Approaches in Petroleum Geosciences}, doi = {10.1007/978-3-031-52715-9_9}, unique-id = {35166274}, year = {2024}, pages = {233-255}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @article{MTMT:35135885, title = {Edge detection of tomographic images using traditional and Deep Learning tools}, url = {https://m2.mtmt.hu/api/publication/35135885}, author = {Dobróka, Tünde Edit and Szűcs, István and Dobróka, Mihály}, doi = {10.33030/geosciences.2024.01.009}, journal-iso = {GEOSCIENCES AND ENGINEERING}, journal = {GEOSCIENCES AND ENGINEERING: A PUBLICATION OF THE UNIVERSITY OF MISKOLC}, volume = {12}, unique-id = {35135885}, issn = {2063-6997}, year = {2024}, pages = {125-138}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @inproceedings{MTMT:34900352, title = {A Quantitative Model to Describe the Hysteresis of P- and S Acoustic/Seismic Waves}, url = {https://m2.mtmt.hu/api/publication/34900352}, author = {Turainé Vurom, Brigitta and Molnár, Judit and Dobróka, T. and Dobróka, Mihály and Nádasi, Endre and Szabó, Norbert Péter}, booktitle = {85th EAGE Annual Conference & Exhibition (including the Workshop Programme)}, doi = {10.3997/2214-4609.2024101360}, unique-id = {34900352}, year = {2024}, pages = {1-5}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070; Nádasi, Endre/0000-0001-5325-6657} } @article{MTMT:34889369, title = {Chebyshev polynomial-based Fourier transformation and it’s use in low pass filter of gravity data}, url = {https://m2.mtmt.hu/api/publication/34889369}, author = {Al Marashly, Omar and Dobróka, Mihály}, doi = {10.1007/s40328-024-00444-z}, journal-iso = {ACTA GEOD GEOPHYS}, journal = {ACTA GEODAETICA ET GEOPHYSICA}, volume = {59}, unique-id = {34889369}, issn = {2213-5812}, abstract = {In this paper, we introduce the novel Chebyshev Polynomials Least-Squares Fourier Transformation (C-LSQ-FT) and its robust variant with the Iteratively Reweighted Least-Squares technique (C-IRLS-FT). These innovative techniques for Fourier transformation are predicated on the concept of inversion, and the C-LSQ-FT method establishes an overdetermined inverse problem within the realm of Fourier transformation. However, given the LSQ approach’s vulnerability to data outliers, we note the potential for considerable errors and potentially unrepresentative model estimations. To circumvent these shortcomings, we incorporate Steiner’s Most Frequent Value method into our framework, thereby providing a more reliable alternative. The fusion of the Iteratively Reweighted Least-Squares (IRLS) algorithm with Cauchy-Steiner weights enhances the robustness of our Fourier transformation process, culminating in the C-IRLS-FT method. We use Chebyshev polynomials as the basis functions in both methods, leading to the approximation of continuous Fourier spectra through a finite series of Chebyshev polynomials and their corresponding coefficients. The coefficients were obtained by solving an overdetermined non-linear inverse problem. We validated the performance of both the traditional Discrete Fourier Transform (DFT) and the newly developed C-IRLS-FT through numerical tests on synthetic datasets. The results distinctly exhibited the reduced sensitivity of the C-IRLS-FT method to outliers and dispersed noise, in comparison with the traditional DFT. We leveraged the newly proposed (C-IRLS-FT) technique in the application of low-pass filtering in the context of gravity data. The results corroborate the technique’s robustness and adaptability, making it a promising method for future applications in geophysical data processing.}, year = {2024}, eissn = {2213-5820}, pages = {159-181}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @article{MTMT:34527979, title = {Combined inversion and statistical workflow for advanced temporal analysis of the Nile River’s long term water level records}, url = {https://m2.mtmt.hu/api/publication/34527979}, author = {Szűcs, Péter and Dobróka, Mihály and Turai, Endre and Szarka, László Csaba and Ilyés, Csaba and Hemida, Mohamed Hamdy Eid and Szabó, Norbert Péter}, doi = {10.1016/j.jhydrol.2024.130693}, journal-iso = {J HYDROL}, journal = {JOURNAL OF HYDROLOGY}, volume = {630}, unique-id = {34527979}, issn = {0022-1694}, year = {2024}, eissn = {1879-2707}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070; Ilyés, Csaba/0000-0002-5328-8023} } @article{MTMT:34855220, title = {Laboratóriumi akusztikussebesség- és jóságitényező-adatok együttes inverziója}, url = {https://m2.mtmt.hu/api/publication/34855220}, author = {Turainé Vurom, Brigitta and Dobróka, Tünde Edit and Dobróka, Mihály}, journal-iso = {MAGYAR GEOFIZIKA}, journal = {MAGYAR GEOFIZIKA}, volume = {64}, unique-id = {34855220}, issn = {0025-0120}, abstract = {In order to explain the rock physical background of an extensively used empirical formula we present new rock-physical models describing the velocity-pressure and Quality factor-pressure dependences. Acoustic laboratory data for P-wave velocity and Quality factor were measured on a sandstone sample at 40 different pressures. The spectral ratio method was used to measure the Quality factor data utilizing an aluminum sample (with the size and geometry of the rock sample) as a reference. The measured velocity and Quality factor data were processed in independent and also in joint inversion procedures. The results showed that both the velocity–pressure and the Quality factor pressure dependence can be well-described utilizing the newly developed rock-physical model in forward modeling. © 2023 Magyar Geofizikusok Egyesülete.}, keywords = {modellfejlesztés, akusztikus P-hullám-sebesség és jósági tényező mérése, inverzió, nyomásfüggés}, year = {2023}, eissn = {2677-1497}, pages = {123-130}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @article{MTMT:34450465, title = {Determining the quality factor of sandstone using acoustic laboratory measurements}, url = {https://m2.mtmt.hu/api/publication/34450465}, author = {Turainé Vurom, Brigitta and Dobróka, Mihály}, doi = {10.35925/j.multi.2023.3.25}, journal-iso = {MULTIDISZCIPLINÁRIS TUDOMÁNYOK}, journal = {MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A MISKOLCI EGYETEM KÖZLEMÉNYE}, volume = {13}, unique-id = {34450465}, issn = {2062-9737}, year = {2023}, eissn = {2786-1465}, pages = {257-267}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @article{MTMT:34413418, title = {Joint inversion of laboratory-measured acoustic phase velocity and quality factor data}, url = {https://m2.mtmt.hu/api/publication/34413418}, author = {Turainé Vurom, Brigitta and Dobróka, Mihály}, doi = {10.33030/geosciences.2024.01.001}, journal-iso = {GEOSCIENCES AND ENGINEERING}, journal = {GEOSCIENCES AND ENGINEERING: A PUBLICATION OF THE UNIVERSITY OF MISKOLC}, volume = {12}, unique-id = {34413418}, issn = {2063-6997}, year = {2023}, pages = {5-19}, orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070} } @inproceedings{MTMT:34157605, title = {Fourier Transformation and Unsupervised Learning for Extracting Hydrogeological Information from Time Series Data}, url = {https://m2.mtmt.hu/api/publication/34157605}, author = {Szabó, Norbert Péter and Ilyés, Csaba and Turai, Endre and Dobróka, Mihály and Kilik, Roland and Miklós, Rita and Hemida, Mohamed Hamdy Eid and Szűcs, Péter}, booktitle = {2023 14th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)}, doi = {10.1109/CogInfoCom59411.2023.10397478}, unique-id = {34157605}, year = {2023}, pages = {19-24}, orcid-numbers = {Ilyés, Csaba/0000-0002-5328-8023; Dobróka, Mihály/0000-0003-3956-2070} }