@article{MTMT:33589060,
	title = {A New Feature Selection Algorithm for Evolutionary Analysis of Aramaic and Arabic Script Variants},
	url = {https://m2.mtmt.hu/api/publication/33589060},
	author = {Khafajy, Osama Ali Salman and Hosszú, Gábor László and Kovács, Ferenc},
	doi = {10.1504/IJIEI.2022.128892},
	journal-iso = {INT J INTELL ENG INF},
	journal = {INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS},
	volume = {10},
	unique-id = {33589060},
	issn = {1758-8715},
	abstract = {This paper deals with applying phylogenetic modelling to the
		evolution of scripts (writing systems) as taxa. Aramaic and Arabic script
		variants are studied in the present cladistic analysis. The selection of the most
		suitable features of taxa for accurate modelling as part of the feature
		engineering step could improve the result of the cladistic analysis. The main
		objective is to filter out features of the taxa under study that could potentially
		cause homoplasy. The effect of feature filtering is investigated using some
		widely used phylogenetic software products for biological databases. Studies
		have consistently shown that the phylogenetic tree (cladogram) generated after
		filtering out the most variable features is more optimal for less homoplasy than
		the tree obtained without feature filtering. Hence, the proposed algorithm
		effectively pre-filters the features that may cause homoplasy. Furthermore, the
		results also demonstrated that different cladistic methods investigated gave
		similar results for the dataset under study.},
	keywords = {feature selection; maximum parsimony; Maximum likelihood; cladistics; BAYESIAN PHYLOGENETIC INFERENCE; evolutionary analysis; scriptinformatics; pattern evolution; Arabic script; Aramaic script; pattern system},
	year = {2022},
	eissn = {1758-8723},
	pages = {313-331},
	orcid-numbers = {Hosszú, Gábor László/0000-0002-2856-9552}
}

@inproceedings{MTMT:31978558,
	title = {Special Purpose Network Simulator for Transport Protocol Analysis},
	url = {https://m2.mtmt.hu/api/publication/31978558},
	author = {Tegze, Dávid and Kovács, Ferenc and Hosszú, Gábor László},
	booktitle = {LISS 2020},
	doi = {10.1007/978-981-33-4359-7_32},
	unique-id = {31978558},
	keywords = {TCP; Network simulator; Protocol fairness; Transport protocol},
	year = {2021},
	pages = {447-460},
	orcid-numbers = {Hosszú, Gábor László/0000-0002-2856-9552}
}

@inproceedings{MTMT:31978580,
	title = {Deciphering Historical Inscriptions Using Machine Learning Methods},
	url = {https://m2.mtmt.hu/api/publication/31978580},
	author = {Tóth, Loránd and Hosszú, Gábor László and Kovács, Ferenc},
	booktitle = {LISS 2020},
	doi = {10.1007/978-981-33-4359-7_30},
	unique-id = {31978580},
	keywords = {Pattern recognition; Similarity metrics; Topological features; scriptinformatics; Computational palaeography; Deciphering ancient inscriptions},
	year = {2021},
	pages = {419-435},
	orcid-numbers = {Hosszú, Gábor László/0000-0002-2856-9552}
}

@inproceedings{MTMT:32176674,
	title = {Phonography-based Measurement of Fetal Heart Rate and Fetal Breathing Movements},
	url = {https://m2.mtmt.hu/api/publication/32176674},
	author = {Üveges, Bálint Áron and Kovács, Ferenc},
	booktitle = {2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (IEEE BHI 2021)},
	unique-id = {32176674},
	abstract = {Fetal phonography is a passive measurement method to monitor the fetus’ physiological activity by collecting acoustic signals from the mother’s abdomen with a special acoustic sensor. Initial application of fetal phonography targeted fetal heart rate monitoring, while in recent years the scope has been extended to cover fetal breathing movements. Each physiological phenomenon provides key information about the fetus’ overall medical condition, while the passive measurement does not impose burden neither on the mother, nor on the fetus. Based on the analysis of fetal phonographic signals our findings suggest the feasibility of measuring fetal heart rate and fetal breathing movements from the same phonographic signal within the same temporal section.  I. INTRODUCTION  Fetal phonography, as a passive measurement method provides means to monitor the fetus’ physiological activity for an extended period, without imposing burden on the mother or on the fetus. With the aid of signal processing, it is possible to detect fetal heart sounds (FHS) in fetal phonographic signals and calculate fetal heart rate (FHR), starting from the 28th week of gestation [1]. Fetal breathing movement (FBM) plays an important role in lung development, by enabling fetal lung expansion [2]. As shown by Goda et al. [3] it is possible to measure FBM episodes (single complete breathing movement) and FBM epochs (subsequent series of FBM episodes) via fetal phonography.  II. METHODS & RESULTS  Fetal phonographic measurement data, collected by M. Á. Goda was evaluated from FHS, FHR and FBM point of view. Via the analysis of several recording’s filtered waveform, Velocity Synchronous Linear Chirplet Transform (VSLCT) [4] and General Parameterized Time-Frequency Transform’s Spline Chirplet Transform (GPTF-SCT) [5] time-frequency representation (TFR) it was possible to identify S1 and S2 FHS components and FBM in the same temporal section, as shown in Fig. 1.  In case of signals, where both FHS and FBM is present, FHR calculation was performed and FBM epochs were identified. It was possible to retrieve the FHR and FBM episodes from a phonographic signal’s same temporal section, as shown in Fig 2.},
	keywords = {Fetal heart rate; FHR; fetal phonography; fetal breathing movements; FBM},
	year = {2021}
}

@article{MTMT:31795646,
	title = {Novel Phonography-Based Measurement for Fetal Breathing Movement in the Third Trimester},
	url = {https://m2.mtmt.hu/api/publication/31795646},
	author = {Goda, Márton Áron and Telek, Tamás and Kovács, Ferenc},
	doi = {10.3390/s21010211},
	journal-iso = {SENSORS-BASEL},
	journal = {SENSORS},
	volume = {21},
	unique-id = {31795646},
	abstract = {The detailed assessment of fetal breathing movement (FBM) monitoring can be a pre-indicator of many critical cases in the third trimester of pregnancy. Standard 3D ultrasound monitoring is time-consuming for FBM detection. Therefore, this type of measurement is not common. The main goal of this research is to provide a comprehensive image about FBMs, which can also have potential for application in telemedicine. Fifty pregnancies were examined by phonography, and nearly 9000 FBMs were identified. In the case of male and female fetuses, 4740 and 3100 FBM episodes were detected, respectively. The measurements proved that FBMs are well detectable in the 20–30 Hz frequency band. For these episodes, an average duration of 1.008 ± 0.13 s (p < 0.03) was measured in the third trimester. The recorded material lasted for 16 h altogether. Based on these measurements, an accurate assessment of FBMs could be performed. The epochs can be divided into smaller-episode groups separated by shorter breaks. During the pregnancy, the rate of these breaks continuously decreases, and episode groups become more contiguous. However, there are significant differences between male and female fetuses. The proportion of the episodes which were classified into minimally 10-member episode groups was 19.7% for males and only 12.1% for females, even at the end of the third trimester. In terms of FBM detection, phonography offers a novel opportunity for long-term monitoring. Combined with cardiac diagnostic methods, it can be used for fetal activity assessment in the third trimester and make measurement appreciably easier than before.},
	keywords = {Photogrammetry; Ultrasound sonography; fetal breathing movement (FBM); biophysical profile (BPP); phonography; FBM epoch; FBM episode},
	year = {2020},
	eissn = {1424-8220}
}

@inproceedings{MTMT:31608948,
	title = {A Proposed Phonography-Based Measurement of Fetal Breathing Movement Using Segmented Structures with Frequency Splitting},
	url = {https://m2.mtmt.hu/api/publication/31608948},
	author = {Kovács, Ferenc and Goda, Márton Áron and Hosszú, Gábor László and Telek, T.},
	booktitle = {42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)},
	doi = {10.1109/EMBC44109.2020.9175477},
	unique-id = {31608948},
	year = {2020},
	pages = {4483-4486},
	orcid-numbers = {Hosszú, Gábor László/0000-0002-2856-9552}
}

@techreport{MTMT:3403669,
	title = {Phonocardiography based Method to Detect Fetal Breathing Movements},
	url = {https://m2.mtmt.hu/api/publication/3403669},
	author = {Goda, Márton Áron and Kovács, Ferenc},
	doi = {10.13140/RG.2.2.18493.51681},
	unique-id = {3403669},
	year = {2017}
}

@inproceedings{MTMT:3143558,
	title = {Topological Analysis of Ancient Glyphs},
	url = {https://m2.mtmt.hu/api/publication/3143558},
	author = {Hosszú, Gábor László and Kovács, Ferenc},
	booktitle = {2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)},
	doi = {10.1109/SMC.2016.7844573},
	unique-id = {3143558},
	abstract = {This paper presents a machine learning approach to explore the phenetic relations of historical scripts and their glyphs. Its first step is the identification of the observable topological transformations in the development of the glyphs, and with the use of these transformations, the method collects the possible cognate glyphs by minimizing the necessary topological transformations between the glyphs. In these investigations, the phonetic properties of the graphemes were consistently considered. The second step of our method is selecting similarity groups of possible cognate glyphs by minimizing the differences of their topological properties. The third step is multidimensional scaling and different cluster analyses based on the similarity groups of the glyphs of the historical scripts in order to explore the phenetic relationships between these scripts. The resulting phenetic structure of the scripts could be used for paleographical research, especially in deciphering ancient hard-to-read inscriptions.},
	keywords = {machine learning; klaszterezés; számítógépes paleográfia},
	year = {2016},
	pages = {2248-2253},
	orcid-numbers = {Hosszú, Gábor László/0000-0002-2856-9552}
}

@article{MTMT:3056101,
	title = {Semi-Automatic RTL Methods for System-on-Chip IP Delivery in the Cyber-Physical System Era},
	url = {https://m2.mtmt.hu/api/publication/3056101},
	author = {Horváth, Péter and Hosszú, Gábor László and Kovács, Ferenc},
	doi = {10.3311/PPee.8527},
	journal-iso = {PERIOD POLYTECH ELECTR ENG COMP SCI},
	journal = {PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE},
	volume = {60},
	unique-id = {3056101},
	issn = {2064-5260},
	year = {2016},
	eissn = {2064-5279},
	pages = {107-124},
	orcid-numbers = {Horváth, Péter/0000-0002-5926-6650; Hosszú, Gábor László/0000-0002-2856-9552}
}

@article{MTMT:3119786,
	title = {Preprocessing Algorithm for Deciphering Historical Inscriptions Using String Metric},
	url = {https://m2.mtmt.hu/api/publication/3119786},
	author = {Tóth, Loránd and Pardede, Raymond Eliza Ivan and Jeney, György András and Kovács, Ferenc and Hosszú, Gábor László},
	journal-iso = {IN J ENGIN TECHNOL INNOV (IJETI)},
	journal = {INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION},
	volume = {6},
	unique-id = {3119786},
	issn = {2223-5329},
	abstract = {The article presents the improvements in the preprocessing part of the deciphering method (shortly preprocessing algorithm) for historical inscriptions of unknown origin. Glyphs used in historical inscriptions changed through time; therefore, various versions of the same script may contain different glyphs for each grapheme. The purpose of the preprocessing algorithm is reducing the running time of the deciphering process by filtering out the less probable interpretations of the examined inscription. However, the first version of the preprocessing algorithm leads incorrect outcome or no result in the output in certain cases. Therefore, its improved version was developed to find the most similar words in the dictionary by relaying the search conditions more accurately, but still computationally effectively. Moreover, a sophisticated similarity metric used to determine the possible meaning of the unknown inscription is introduced. The results of the evaluations are also detailed.},
	keywords = {computational paleography; Mathematical optimizations},
	year = {2016},
	eissn = {2226-809X},
	pages = {202-213},
	orcid-numbers = {Hosszú, Gábor László/0000-0002-2856-9552}
}