Geosciences and Engineering https://ojs.uni-miskolc.hu/index.php/geosciences <p><big><strong>GEOSCIENCES AND ENGINEERING</strong></big></p> <p><big><strong>HU ISSN 2063-6997</strong><br /><strong>A Publication of the University of Miskolc</strong><br /><strong>UNIVERSITY OF MISKOLC</strong><br /><strong>Faculty of Earth and Environmental Sciences and Engineering<br />Miskolc, University Press<br />Hungary</strong></big></p> en-US norbert.szabo@uni-miskolc.hu (Dr. Norbert Péter Szabó) zoltan.virag@uni-miskolc.hu (Assoc. Prof. Zoltán Virág) Thu, 26 Mar 2026 08:22:30 +0100 OJS 3.2.1.4 http://blogs.law.harvard.edu/tech/rss 60 Integrated transport service development through interregional cooperation between Miskolc and Košice https://ojs.uni-miskolc.hu/index.php/geosciences/article/view/4401 <p>The study examines the development opportunities of cross-border public transport services between Miskolc and Košice. Despite the strengthening of economic, educational and labor market relations in the Košice–Miskolc Euroregion in recent years, the public transport offer has only partially adapted to the changed mobility needs. The article reviews the current rail and bus services and then outlines realistic service development directions (adapting to travel needs and considering infrastructure constraints), based on interregional cooperation. The expansion of the offer and intermodal developments can contribute to the transport integration and sustainable development not only of the border region, but also of the entire Euroregion.</p> László Tamás Kaposvári; Róbert Skapinyecz Copyright (c) 2026 Geosciences and Engineering https://ojs.uni-miskolc.hu/index.php/geosciences/article/view/4401 Thu, 26 Mar 2026 00:00:00 +0100 Robust MFV analysis of geoelectrical data in heterogeneous subsurface media https://ojs.uni-miskolc.hu/index.php/geosciences/article/view/4436 <p>Geoelectrical datasets in heterogeneous environments often show non-Gaussian distributions and outliers, limiting conventional averaging. This study evaluates the Most Frequent Value (MFV) method for robust characterization of vertically structured geophysical data. Results show that the fixed <em>ε</em> parameter, the scale parameter of the weighting function, provides stable representations, while the conventional iterative <em>ε</em> method enhances locally dominant structures. Quantitative comparison confirms that method performance depends on data variability and sampling density. The method offers a flexible alternative for interpreting complex subsurface conditions.</p> Marcell Szilvási Copyright (c) 2026 Geosciences and Engineering https://ojs.uni-miskolc.hu/index.php/geosciences/article/view/4436 Tue, 14 Apr 2026 00:00:00 +0200