@article{MTMT:34833096,
	title = {The historical Szekely Land and its present-day spatial division},
	url = {https://m2.mtmt.hu/api/publication/34833096},
	author = {Elekes, Tibor and Gyenizse, Péter},
	doi = {10.15196/RS140208},
	journal-iso = {REG STAT},
	journal = {REGIONAL STATISTICS},
	unique-id = {34833096},
	issn = {2063-9538},
	year = {2024},
	eissn = {2064-8243},
	orcid-numbers = {Gyenizse, Péter/0000-0002-8175-9734}
}

@CONFERENCE{MTMT:34831544,
	title = {Long Short - Term Memory in use of eliminating geometric distortions in side-scan sonar imaging},
	url = {https://m2.mtmt.hu/api/publication/34831544},
	author = {Lovász, Virág and Halmai, Ákos},
	booktitle = {Absztraktkötet: XII. Interdiszciplináris Doktorandusz Konferencia = Book of Abstract: XII. Interdisciplinary Doctoral Conference},
	unique-id = {34831544},
	year = {2024},
	pages = {125-125},
	orcid-numbers = {Halmai, Ákos/0000-0001-5722-8119}
}

@article{MTMT:34781563,
	title = {A műholdradar-interferometria alkalmazásának lehetőségei a kőbányászati szektorban. InSAR applications for quarry monitoring},
	url = {https://m2.mtmt.hu/api/publication/34781563},
	author = {Kovács, István Péter and Ronczyk, Levente and Adorján, Erik and Keszthelyi, Ádám and Kovács, Dániel Márton and Orbán, Zoltán and Kertész, Botond},
	journal-iso = {BKL},
	journal = {BÁNYÁSZATI ÉS KOHÁSZATI LAPOK (2023-)},
	volume = {157},
	unique-id = {34781563},
	year = {2024},
	eissn = {2498-9322},
	pages = {12-21},
	orcid-numbers = {Kovács, Dániel Márton/0000-0001-5403-6410; Orbán, Zoltán/0000-0002-9721-6216}
}

@{MTMT:34571802,
	title = {Example code for "Paul Bourke, 1998: Determining whether or not a polygon (2D) has its vertices ordered clockwise or counter-clockwise".},
	url = {https://m2.mtmt.hu/api/publication/34571802},
	author = {Halmai, Ákos},
	unique-id = {34571802},
	abstract = {# Ákos Halmai, 2023.
		import math
		
		
		def getArea(points) -> float:
		    """Expects iterable of two-element-tuples.
		    For example:
		    points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))"""
		
		    area = 0.0
		    (x1, y1) = points[0]
		    for (x2, y2) in points[1:]:
		        area += x1 * y2 - y1 * x2
		        (x1, y1) = (x2, y2)
		
		    return 0.5 * area
		
		
		def getAreaAbs(points) -> float:
		    """Expects iterable of two-element-tuples.
		    For example:
		    points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))"""
		
		    # Returns float (always):
		    return math.fabs(getArea(points))
		
		
		def getAreaPrecise(points) -> float:
		    """Expects iterable of two-element-tuples.
		    For example:
		    points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))"""
		
		    def getPartArea(points):
		        (x1, y1) = points[0]
		        for (x2, y2) in points[1:]:
		            yield x1 * y2
		            yield -y1 * x2
		            (x1, y1) = (x2, y2)
		
		    # Avoids loss of precision by tracking multiple
		    # intermediate partial sums:
		    return 0.5 * math.fsum(getPartArea(points))
		
		
		def getAreaPreciseAbs(points) -> float:
		    """Expects iterable of two-element-tuples.
		    For example:
		    points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))"""
		
		    # Returns float (always):
		    return math.fabs(getAreaPrecise(points))
		
		
		def __isClockwise(*args) -> bool:
		    """Private. Do not use it!"""
		
		    (x0, y0), (x1, y1), (x2, y2), *_ = args
		    return ((x1 - x0) * (y2 - y1) - (y1 - y0) * (x2 - x1)) > 0.0
		
		
		def isClockwise(points) -> bool:
		    """Expects iterable of two-element-tuples.
		    For example:
		    points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))"""
		
		    return __isClockwise(*points)
		
		
		def isConcave(points) -> bool:
		    """Expects iterable of two-element-tuples.
		    For example:
		    points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))"""
		
		    (x0, y0), (x1, y1), (x2, y2), *_ = points
		    switch = __isClockwise((x0, y0), (x1, y1), (x2, y2))
		    for (xn, yn) in points[3:]:
		
		        if switch != __isClockwise((x1, y1), (x2, y2), (xn, yn)):
		            return True
		
		        # Delayed for performance:
		        ((x0, y0), (x1, y1), (x2, y2)) = ((x1, y1), (x2, y2), (xn, yn))
		
		    return False},
	year = {2023},
	orcid-numbers = {Halmai, Ákos/0000-0001-5722-8119}
}

@article{MTMT:34500547,
	title = {Channel-reach morphometric analysis on a headwater stream in a low-mountainous region: a case study from Mecsek Hills},
	url = {https://m2.mtmt.hu/api/publication/34500547},
	author = {Víg, Balázs and Varga, Gábor and Balogh, Richárd and Lóczy, Dénes and Nagyváradi, László and Fábián, Szabolcs Ákos},
	doi = {10.15201/hungeobull.72.4.3},
	journal-iso = {HUNG GEOGR BULL (2009-)},
	journal = {HUNGARIAN GEOGRAPHICAL BULLETIN (2009-)},
	volume = {72},
	unique-id = {34500547},
	issn = {2064-5031},
	abstract = {Small catchments in mountainous regions affect downstream rivers as a primary source of sediment supply and also generate flash swasfloods, especially during extreme events. These floods have significantly shaped the catchments of small streams in the Mecsek Hills and some rural areas over the past two decades. However, there has been no previous study examining the hydromorphology of headwater catchments in low mountain environments in Hungary. The present study was meant to investigate the fundamental hydrogeomorphological properties of a first-order catchment. A customary and detailed GIS survey of 50-metre sections was aimed at deciphering flash flood vulnerability and geomorphic interrelations within a micro watershed. We found moderate susceptibility to flash floods compared to the whole Mecsek Hills. Stable large woody debris jams were identified during the field survey as major geomorphic channel features functioning as natural barriers which drive channel evolution and reduce flood hazards.},
	year = {2023},
	eissn = {2064-5147},
	pages = {365-381},
	orcid-numbers = {Lóczy, Dénes/0000-0002-2542-6775; Fábián, Szabolcs Ákos/0000-0001-9127-2113}
}

@article{MTMT:34445353,
	title = {Historical and archaeological data for integrated environmental historical analyses on the moat profile of the türbe complex of Sultan Suleiman I at Szigetvár - Turbék Wineyard Hill site (Hungary)},
	url = {https://m2.mtmt.hu/api/publication/34445353},
	author = {Pap, Norbert and Fodor, Pál and Kitanics, Máté and Gyenizse, Péter and Hancz, Erika},
	doi = {10.55023/issn.1786-271X.2023-016},
	journal-iso = {ARCHEOMETRIAI MŰHELY},
	journal = {ARCHEOMETRIAI MŰHELY},
	volume = {20},
	unique-id = {34445353},
	issn = {1786-271X},
	abstract = {Sultan Suleiman I the Magnificent (1526–1566) died during the siege of Szigetvár in 1566 (between 1 and 2 a.m. on 7th September 1566) in his imperial tent 4.5 kilometers from the castle, on the vineyard hill of Szigetvár – Turbék, Hungary. Later, around 1575 a makam türbe (memorial mausoleum) with a mosque and a dervish lodge was built on the place of his death; the complex was protected by a palisade and surrounded by a deep moat. The layout of the complex was drawn by Count Pál Esterházy (1635–1713) (later palatine and imperial prince) in 1664, during the Winter Campaign. Part of the memorial site and the adjoining small town (Turkish name: Türbe kasabası) burnt down in 1688, most of the buildings were removed by 1691, and by 1693 only the remains of the mausoleum’s wall were left standing, which were soon pulled down. Later the area was used for agricultural purposes, with fields, orchards, gardens, and vineyards. The türbe and other associated buildings were covered with a layer of rubble from the demolition and soil. The significant site was identified in 2014 and was excavated by remote sensing, geophysical, geological, and archaeological investigations between 2015 and 2019.},
	year = {2023},
	pages = {195-200},
	orcid-numbers = {Pap, Norbert/0000-0001-8243-4213; Fodor, Pál/0000-0002-2097-2988; Kitanics, Máté/0000-0003-0073-7451; Gyenizse, Péter/0000-0002-8175-9734}
}

@article{MTMT:34441365,
	title = {Assessment of air quality and consequent in Erbil, Iraqi Kurdistan region based GEE, GIS, and remote sensing techniques},
	url = {https://m2.mtmt.hu/api/publication/34441365},
	author = {Ali, Z.F. and Khoshnaw, Dedar Salam Ahmad and Pirisi, Gábor and Kiss, Kinga},
	doi = {10.1051/e3sconf/202343610007},
	journal-iso = {E3S WEB CONF},
	journal = {E3S WEB OF CONFERENCES},
	volume = {436},
	unique-id = {34441365},
	issn = {2555-0403},
	abstract = {The global peril of air quality deterioration imperils the well-being of all living beings. Erbil, like many other regions, has suffered severe environmental degradation due to urban expansion, vehicular escalation, industrialisation, and substandard fuel usage. This research employs Google Earth Engine, GIS, and Remote Sensing to scrutinise alterations in pollutants (NO2, SO2, CH4, CO, O3, UV) spanning 2018 to 2022. It also incorporates PM2.5 data from Ankawa station (Jan 14, 2023 - May 4, 2023) and land use data (2005-2022) from Modis and Sentinel 2 satellites. The findings reveal a substantial increase in the levels of various pollutants during the specified period. However, in June 2020, most of these levels experienced a decrease due to the coronavirus quarantine measures. For instance, the concentration of NO2 decreased from 0.000256 mol/m2 in 2018 to 0.000166 mol/m2 in 2020. Conversely, by June 2022, the levels had significantly risen to 0.000277 mol/m2. Moreover, among the 107 days record, PM2.5 concentrations reached unhealthy levels on 44 days, while only five exhibited healthy PM2.5 levels. Furthermore, regions at lower sea levels, like Erbil and Khabat, exhibit the highest concentrations of these gases. In contrast, areas at higher sea levels, such as Mergasur and Choman, demonstrate these pollutants’ lowest levels. © 2023 EDP Sciences. All rights reserved.},
	year = {2023},
	eissn = {2267-1242},
	orcid-numbers = {Pirisi, Gábor/0000-0003-0179-3228}
}

@article{MTMT:34034637,
	title = {Shoreline change dynamics along the Augusta coast, eastern Sicily, South Italy},
	url = {https://m2.mtmt.hu/api/publication/34034637},
	author = {Laksono, Fx Anjar Tri and Borzi, Laura and Distefano, Salvatore and Czirok, Lili and Halmai, Ákos and Di Stefano, Agata and Kovács, János},
	doi = {10.1002/esp.5644},
	journal-iso = {EARTH SURF PROCESS LANDF},
	journal = {EARTH SURFACE PROCESSES AND LANDFORMS},
	volume = {48},
	unique-id = {34034637},
	issn = {0197-9337},
	year = {2023},
	eissn = {1096-9837},
	pages = {1-12},
	orcid-numbers = {Laksono, Fx Anjar Tri/0000-0002-6061-6136; Halmai, Ákos/0000-0001-5722-8119; Kovács, János/0000-0001-7742-5515}
}

@article{MTMT:33793773,
	title = {Állapotmonitoring roncsolásmentes diagnosztika és műholdradar alapú mérések alkalmazásával},
	url = {https://m2.mtmt.hu/api/publication/33793773},
	author = {Orbán, Zoltán and Dormány, András and Kovács, Dániel Márton},
	journal-iso = {HÍDÉPÍTŐK},
	journal = {HÍDÉPÍTŐK},
	volume = {50},
	unique-id = {33793773},
	year = {2023},
	pages = {42-47},
	orcid-numbers = {Orbán, Zoltán/0000-0002-9721-6216; Kovács, Dániel Márton/0000-0001-5403-6410}
}

@article{MTMT:33733477,
	title = {Application of a CNN to the Boda Claystone Formation for high-level radioactive waste disposal},
	url = {https://m2.mtmt.hu/api/publication/33733477},
	author = {Lovász, Virág and Halász, Amadé and Molnár, Péter and Karsa, Róbert and Halmai, Ákos},
	doi = {10.1038/s41598-023-31564-1},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {13},
	unique-id = {33733477},
	issn = {2045-2322},
	abstract = {Nations relying on nuclear power generation face great responsibilities when designing their firmly secured final repositories. In Hungary, the potential host rock [the Boda Claystone Formation (BCF)] of the deep geological repository is under extensive examination. To promote a deeper comprehension of potential radioactive isotope transport and ultimately synthesis for site evaluation purposes, we have efficiently tailored geospatial image processing using a convolutional neural network (CNN). We customized the CNN according to the intricate nature of the fracture geometries in the BCF, enabling the recognition process to be particularly sensitive to details and to interpret them in the correct tectonic context. Furthermore, we set the highest processing scale standards to measure the performance of our model, and the testing circumstances intentionally involved various technological and geological hindrances. Our presented model reached ~ 0.85 precision, ~ 0.89 recall, an ~ 0.87 F1 score, and a ~ 2° mean error regarding dip value extraction. With the combination of a CNN and geospatial methodology, we present the description, performance, and limits of a fully automated workflow for extracting BCF fractures and their dipping data from scanned cores.},
	keywords = {Convolutional Neural Networks (CNN); Boda Claystone},
	year = {2023},
	eissn = {2045-2322},
	orcid-numbers = {Halász, Amadé/0000-0003-4582-8883; Karsa, Róbert/0000-0003-0502-1508; Halmai, Ákos/0000-0001-5722-8119}
}