@article{MTMT:34821718,
	title = {Competitive balance in the post-2024 Champions League and the European Super League: A simulation study},
	url = {https://m2.mtmt.hu/api/publication/34821718},
	author = {Gyimesi, András},
	doi = {10.1177/15270025241249362},
	journal-iso = {J SPORTS ECON},
	journal = {JOURNAL OF SPORTS ECONOMICS},
	unique-id = {34821718},
	issn = {1527-0025},
	abstract = {The proposal of the European Super League and the 2024/25 reform of the UEFA Champions League are both major events in European club football. This study compares the competitive balance (CB) of these new tournament formats with the previous Champions League format. Short-, mid- and long-term CB are quantified by measuring the average uncertainty of match outcomes, the ratio of stakeless matches, and the recurrence ratio of teams in knockout rounds. A simulation method is applied using the teams, their seeding, and Elo ratings in the 2020/21 and 2021/22 Champions League seasons. Results suggest that the 2024/25 reform improves CB, especially in match uncertainty and the occurrence of stakeless matches. In comparison, the Star League of the European Super League concept of December 2023 is superior concerning average match uncertainty. However, it has a worse CB regarding stakeless matches and dynamic CB. Reasons and suggestions for improvement are also discussed.},
	year = {2024},
	eissn = {1552-7794},
	orcid-numbers = {Gyimesi, András/0000-0002-6333-3318}
}

@inproceedings{MTMT:34795721,
	title = {Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum},
	url = {https://m2.mtmt.hu/api/publication/34795721},
	author = {Kiss, T and Ullah, A and Terstyanszky, G and Kao, O and Becker, S and Verginadis, Y and Michalas, A and Stankovski, V and Kertész, Attila and Ricci, E and Altmann, J and Egger, B and Tusa, F and Kovács, József and Lovas, Róbert},
	booktitle = {Advanced Information Networking and Applications},
	doi = {10.1007/978-3-031-57931-8_9},
	unique-id = {34795721},
	year = {2024},
	pages = {89-100},
	orcid-numbers = {Kertész, Attila/0000-0002-9457-2928; Kovács, József/0000-0002-7293-3016; Lovas, Róbert/0000-0001-9409-2855}
}

@book{MTMT:34794830,
	title = {Active Anti-Roll Bar Control Design for Heavy Vehicles},
	url = {https://m2.mtmt.hu/api/publication/34794830},
	isbn = {9789819713585},
	author = {Vu, V T and Sename, O and Gáspár, Péter and Trong, T D},
	doi = {10.1007/978-981-97-1359-2},
	publisher = {Springer Nature Singapore Pte Ltd},
	unique-id = {34794830},
	year = {2024},
	orcid-numbers = {Gáspár, Péter/0000-0003-3388-1724}
}

@article{MTMT:34788066,
	title = {Multiobjective Model Predictive Control Based on Urban and Emission Macroscopic Fundamental Diagrams},
	url = {https://m2.mtmt.hu/api/publication/34788066},
	author = {Tesone, Alessio and Tettamanti, Tamás and Varga, Balázs and Bifulco, Gennaro Nicola and Pariota, Luigi},
	doi = {10.1109/ACCESS.2024.3387664},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {12},
	unique-id = {34788066},
	issn = {2169-3536},
	abstract = {Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance because of its strong economic, social, and environmental implications. Macroscopic Fundamental Diagram (MFD) based traffic control is a popular and efficient approach in this scientific field. In our research work the urban network has been divided into homogeneous regions, each of them characterized by its own MFD, and they are regulated using a network-level control scheme. The proposed Multiobjective Model Predictive Control (M-MPC) takes into account the congestion and <italic>CO</italic>2 emission levels of the urban network, modelled by the emerging Emission Macroscopic Fundamental Diagram (e-MFD). The applied strategy has been demonstrated in a realistic traffic scenario (Luxembourg City) using validated microscopic traffic simulation. According to the introduced multiobjective approach, the control method can better exploit the road network capacity while efficiently reducing traffic-induced emissions. Authors},
	year = {2024},
	eissn = {2169-3536},
	pages = {52583-52602},
	orcid-numbers = {Tesone, Alessio/0000-0002-8093-8175; Tettamanti, Tamás/0000-0002-8934-3653; Varga, Balázs/0000-0002-2945-7974; Pariota, Luigi/0000-0001-9173-666X}
}

@article{MTMT:34786414,
	title = {Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals},
	url = {https://m2.mtmt.hu/api/publication/34786414},
	author = {Dózsa, Tamás and Jurdana, V and Segota, S B and Volk, János and Radó, János and Soumelidis, Alexandros and Kovács, Péter},
	doi = {10.1109/ACCESS.2024.3382931},
	journal-iso = {IEEE ACCESS},
	journal = {IEEE ACCESS},
	volume = {12},
	unique-id = {34786414},
	issn = {2169-3536},
	year = {2024},
	eissn = {2169-3536},
	pages = {53361-53372},
	orcid-numbers = {Volk, János/0000-0003-3633-6190; Soumelidis, Alexandros/0000-0002-0067-7746; Kovács, Péter/0000-0002-0772-9721}
}

@article{MTMT:34786003,
	title = {Exploring hidden pathways to sustainable manufacturing for cyber-physical production systems},
	url = {https://m2.mtmt.hu/api/publication/34786003},
	author = {Pedone, Gianfranco and Váncza, József and Szaller, Ádám},
	doi = {10.1016/j.heliyon.2024.e29004},
	journal-iso = {HELIYON},
	journal = {HELIYON},
	volume = {10},
	unique-id = {34786003},
	year = {2024},
	eissn = {2405-8440},
	orcid-numbers = {Váncza, József/0000-0003-0054-0560; Szaller, Ádám/0000-0001-9555-4070}
}

@article{MTMT:34779718,
	title = {Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning},
	url = {https://m2.mtmt.hu/api/publication/34779718},
	author = {Liu, Y and Wang, P and Lee, C and Tóth, Roland},
	doi = {10.1109/TAES.2024.3361886},
	journal-iso = {IEEE T AERO ELEC SYS},
	journal = {IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS},
	unique-id = {34779718},
	issn = {0018-9251},
	year = {2024},
	eissn = {1557-9603},
	pages = {1-17}
}

@article{MTMT:34776261,
	title = {Assessment of HPV Knowledge and Awareness among Students and Staff at IBB University, Niger State, Nigeria: Implications for Health Education and Prevention},
	url = {https://m2.mtmt.hu/api/publication/34776261},
	author = {Ogbolu, Melvin and Kozlovszky, Miklós},
	doi = {10.3390/healthcare12060665},
	journal-iso = {HEALTHCARE-BASEL},
	journal = {HEALTHCARE},
	volume = {12},
	unique-id = {34776261},
	abstract = {In Nigeria, statistics reveal that there is a high rate of cervical cancer among women and a significant lack of awareness surrounding Human Papillomavirus (HPV), which poses a substantial risk of HPV infection. This cross-sectional survey, conducted at Ibrahim Badamasi Babangida (IBB) University, focuses on adapting and exploring the factors that influence a 20-item scale to measure HPV knowledge, evaluating knowledge-associated patterns and HPV-associated risk factors. We examined HPV vaccination rates, infection awareness, vaccine awareness, and the impact of ethnicity on HPV knowledge. Various validated forms were adapted to measure HPV awareness and knowledge. Non-parametric tests addressed non-normality. Data were presented using median and IQR and categorical data were frequency-based. Bivariate tests (Mann–Witney, Kruskal Wallis) explored knowledge-associated factors, while quantile regression (75th percentile) examined HPV knowledge factors. Variables were considered statistically significant at p < 0.05. The adapted 20-item knowledge scale revealed strong reliability (Cronbach’s alpha = 0.913), ensuring internal consistency. The median knowledge score was 0, with an interquartile range (IQR) of 0–5. Our findings revealed a significant lack of awareness and knowledge about HPV; only 34.8% of the population were aware of HPV infection and 25.0% were familiar with HPV vaccination. Furthermore, ethnicity was found to be significantly associated with knowledge of HPV. This study emphasizes the necessity for targeted interventions to enhance HPV awareness, especially within specific ethnic groups. Despite a robust knowledge scale, educational initiatives such as seminars/conferences about HPV and cervical cancer remain crucial in addressing this gap, ultimately reducing HPV infection and cervical cancer risks in Nigeria.},
	year = {2024},
	eissn = {2227-9032},
	pages = {665-681}
}

@article{MTMT:34758553,
	title = {Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning},
	url = {https://m2.mtmt.hu/api/publication/34758553},
	author = {Dózsa, Tamás and Őri, P and Szabari, M and Simonyi, Ernő and Soumelidis, Alexandros and Lakatos, István},
	doi = {10.3390/machines12040214},
	journal-iso = {MACHINES},
	journal = {MACHINES},
	volume = {12},
	unique-id = {34758553},
	abstract = {In this work we propose proof-of-concept methods to detect malfunctions of the braking system in passenger vehicles. In particular, we investigate the problem of detecting deformations of the brake disc based on data recorded by acceleration sensors mounted on the suspension of the vehicle. Our core hypothesis is that these signals contain vibrations caused by brake disc deformation. Since faults of this kind are typically monitored by the driver of the vehicle, the development of automatic fault-detection systems becomes more important with the rise of autonomous driving. In addition, the new brake boosters separate the brake pedal from the hydraulic system which results in less significant effects on the brake pedal force. Our paper offers two important contributions. Firstly, we provide a detailed description of our novel measurement scheme, the type and placement of the used sensors, signal acquisition and data characteristics. Then, in the second part of our paper we detail mathematically justified signal representations and different algorithms to distinguish between deformed and normal brake discs. For the proper understanding of the phenomenon, different brake discs were used with measured runout values. Since, in addition to brake disc deformation, the vibrations recorded by our accelerometers are nonlinearly dependent on a number of factors (such as the velocity, suspension, tire pressure, etc.), data-driven models are considered. Through experiments, we show that the proposed methods can be used to recognize faults in the braking system caused by brake disc deformation.},
	year = {2024},
	eissn = {2075-1702},
	orcid-numbers = {Őri, P/0000-0002-4706-6432; Soumelidis, Alexandros/0000-0002-0067-7746; Lakatos, István/0000-0002-3855-7379}
}

@inproceedings{MTMT:34754671,
	title = {Modeling CT images in the presence of beam hardening​},
	url = {https://m2.mtmt.hu/api/publication/34754671},
	author = {Dózsa, Tamás and Fridli, Sándor and Kovács, Péter},
	booktitle = {Proceedings of the Workshop Biosignal 2024},
	unique-id = {34754671},
	year = {2024},
	pages = {1-5},
	orcid-numbers = {Fridli, Sándor/0000-0003-3531-2576; Kovács, Péter/0000-0002-0772-9721}
}