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Found 6383 publications
FROM PRIVATE REGULATION TO PUBLIC IMPACT: RETHINKING PLATFORM GOVERNANCE THROUGH DIGITAL CONSTITUTIONALISM
Publication Name: Studia Iuridica Cassoviensia
Publication Date: 2025-12-19
Volume: 13
Issue: Special Issue
Page Range: 91-106
Description:
This paper explores the growing regulatory role of very large online platforms (VLOPs) through the lens of digital constitutionalism. It argues that while these platforms operate under private legal frameworks, their governance functions—especially content moderation and algorithmic decision-making—closely resemble public regulatory authority. As platforms increasingly shape the terms of civic participation, public discourse, and access to information, a normative gap has emerged between the private character of their power and its public consequences. The study identifies three core questions: what motivates platform self-regulation, whether platforms exercise public-like functions, and whether digital constitutionalism provides a viable framework for constraining their power. Drawing primarily on a comprehensive literature review, the analysis confirms that platform self-regulation is strategically motivated, that platforms exercise quasi-public authority, and that digital constitutionalism offers a promising—though still evolving—response. The findings suggest that constitutional values such as transparency, due process, and the protection of fundamental rights must increasingly be applied to powerful private actors in the digital environment to uphold rule-of-law standards and democratic legitimacy.
Open Access: Yes
Applicability of fuzzy flip-flops in the implementation of neural networks
Publication Name: 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics Cinti 2008
Publication Date: 2008-12-01
Volume: Unknown
Issue: Unknown
Page Range: 333-344
Description:
The concept of various type fuzzy flip-flops (F3) has already been proposed. We have done some investigations on a large scope of F 3s based on different t-norms and conorms. Also we have shown that a few F3 types are suitable for realizing neurons in multilayer perceptrons. The aim of this paper is to present a comparison of the performance of several type neural networks based on fuzzy J-K and also fuzzy D flip-flops (the latter derived from the former type). The behavior of algebraic, Yager, Dombi and Hamacher type fuzzy flip-flop neural networks are presented. The best fitting t-norm and corresponding fuzzy flip-flop type will be presented in terms of function approximation capability.
Open Access: Yes
DOI: DOI not available
Modeling Human Lane Following Behavior
Publication Name: IEEE Access
Publication Date: 2025-12-19
Volume: 13
Issue: Unknown
Page Range: 214940-214959
Description:
Vehicles with driver assistance and even autonomous driving capabilities have become widely spread on the roads in the last decades. Replacing human drivers even partially is a complex issue, as these driving systems must be safe and reliable under various conditions. The complexity is increased further by the fact that driving systems must interact with human participants of the traffic: the driver and passengers of the given vehicle as well as drivers in other vehicles or pedestrians. The market trends show that even though more and more driving assistance solutions are available, the vehicle users often refuse to use them as the behavior of these systems feels unnatural. Therefore, manufacturers have initiated the development of personalized driving assistance which motivates research in driver modeling and driving style classification. One of the most controversial assistance function is lane keeping. In our paper, we propose various different model structures that are able to capture the lane offset selection behavior of human drivers. It is shown that a static linear regression model provides reasonable accuracy and robustness in modeling the lane offset. While Gaussian Process models offer more accuracy, their training time is more demanding. It is shown, that a combination of linear and polynomial third-order basis functions offers a good tradeoff to efficiently describe the lane offset selection of human drivers. Our observations are based on studying real driving data from 41 drivers, whose behavior is modeled with the considered model structures. Then, using the corresponding model parameters, drivers are clustered into two driving style groups. Using the collective data of these groups the models are fitted to all data records in the two driver groups. Any new driver can be classified into one of these groups, and the aggregated models can be further personalized to to increase user satisfaction with the lane keeping systems.
Open Access: Yes
Extending the Input and Transformation Space of Different TP Models: An LMI-based Feasibility Analysis
Publication Name: Acta Polytechnica Hungarica
Publication Date: 2023-01-01
Volume: 20
Issue: 9
Page Range: 257-276
Description:
This paper discusses that the selection and modification of the input and the transformation space, of the Tensor Product (TP) model representation, of a given quasi– Linear Parameter Varying (qLPV) state‐space model, has an influence on the feasibility regions of the Linear Matrix Inequality (LMI) based control design techniques. Moreover, three factors affect the feasibility regions of the LMI-based control design: The manipulation of the position of vertices The number of the inputs of the TS fuzzy model representation Modifying the transformation space The proof is based on a complex control design example, where the impact of the above factors can be clearly demonstrated. Furthermore, the paper presents that the maximal and minimal parameter space of the controller depends on factors (i) and (ii). The aim of the feasibility test is to show that there exists a solution for LMIs or not, considering these factors. The example is based on the academic Translational Oscillator with Rotational Actuator (TORA) system. Then, the TP model transformation-based framework is used to vary the input space of the TP model representation. In addition, the paper gives a very decisive conclusion that the design technique may be sensitive for the input space of the TS fuzzy model, hence it is necessary to consider the number of inputs, the transformation space and the gains defined on the inputs when a TP model is generated to achieve the best solution to the control purposes. All in all, this paper investigates the effect of input space modification of the TP model representation of a given qLPV state-space model on the feasibility regions of LMI-based controller design methods.
Open Access: Yes
Sustainability catalysts and green growth: Triangulating evidence from EU countries using panel data, MMQR, and CCEMG
Publication Name: Green Technologies and Sustainability
Publication Date: 2026-04-01
Volume: 4
Issue: 2
Page Range: Unknown
Description:
Green Growth Strategies (GGS) are a win–win opportunity for not only the nation’s economy but also the environment. However, many countries are not concerned about reaping these benefits, and they continue to harm the environment for short-term gain, neglecting long-term sustainability. Southern European countries can utilize green growth policies to enhance their competitiveness, bypass older, more polluting technologies by directly adopting cleaner alternatives, and achieve economic and environmental progress. To address this concern, we analyzed 12 Southern European countries from 2010 to 2019, investigating how they can enhance their green growth performance by incorporating critical predictors. We employed panel data estimators, mean group (MG) to accommodate slope heterogeneity, and Common Correlated Effects Mean Group (CCEMG), which opens the opportunity to observe the influence of unobserved common factors and allows us to capture cross-sectional dependence and heterogeneous behavior better. We applied the Method of Moment Quantile Regression (MMQR) technique further as a robustness check to capture heterogeneous effects across the green growth distribution. The same methodology with ecological footprint data and implementation of the Generalized Method of Moments (GMM) has eliminated the endogeneity concern. The findings highlighted that educational attainment, globalization, and renewable energy consumption have positive influences on green growth. In comparison, trade openness and natural resource rent exhibit negative effects when we shift the methodology from MG to CCEMG, giving us a total of four significant factors to be concerned with. The study emphasizes the crucial importance of tailored policy approaches and regional collaboration in addressing environmental challenges effectively, and offers actionable insights for achieving green growth in the region by providing empirically grounded and practical recommendations that account for diverse socioeconomic contexts and ecological vulnerabilities.
Open Access: Yes
Prediction of possible tornado strike using complex m-polar fuzzy information based on Dombi operators
Publication Name: Ain Shams Engineering Journal
Publication Date: 2025-08-01
Volume: 16
Issue: 8
Page Range: Unknown
Description:
Tornados are extremely catastrophic, and the global effect of natural calamities like tornados is enormous and needs prompt and effective management. We can tackle this problem by using measures like multi-criteria decision-making (MCDM) to identify high-risk areas of a potential tornado strike. We frequently use MCDM techniques to solve the complexities and uncertainties of modern-era problems. We present a study that builds a prediction model by combining the Dombi aggregation operator with a complex m-polar fuzzy set (CmFS) to accurately guess when a tornado will hit. Our proposed model determines an expert panel, criteria, and a set of alternatives after identifying the problem. We create summed-up decision matrices using complex m-polar fuzzy Dombi aggregation operators (CmFDAO) after experts evaluate criteria and options. The algorithm then presents the best option with the help of a final decision score matrix. Our model uses a set of eight meteorological elements and eight experts to assess four possible tornado locations and pinpoint an area with a high risk of tornado strikes. The results generated by our aggregation operator set demonstrate that our proposed method for handling complex and multi-polar data is concise and efficient when compared to other sets. This early prediction highlights the potential of significant risk reduction to the environment and human life due to catastrophic events like tornados by enhancing early warning systems and effective emergency management.
Open Access: Yes
From Rule-of-Law-Based Penal Policy to Penal Populism: The Case of Hungary
Publication Name: Szociologiai Szemle
Publication Date: 2025-12-19
Volume: 35
Issue: 4
Page Range: 7-33
Description:
This study offers a comprehensive overview and critical assessment of the development of Hungarian penal policy from the regime change to the present day. Following a brief outline of the relevant conceptual and interpretive frameworks, we explore the main trends and structural characteristics of crime between 1988 and 2023. The analysis focuses on substantive criminal law and examines the penal policy directions of successive government cycles in light of the underlying objectives, priorities, and principles of criminal legislation. Accordingly, we provide a detailed account of the penal policy features of the 1990–1994, 1994–1998, and 1998–2002 governments, as well as those of the 2002–2010 period and the ongoing political cycle since 2010. Our interpretive framework highlights the influence of political and governmental dynamics, the degree to which rule of law standards were respected, and the relationship between academic knowledge, empirical research, and penal policymaking. Following the chronological analysis, we examine two key indicators that reflect the substance and orientation of penal policy: sentencing practices and the evolution of the prison population. In the concluding section, we address criminological and penal policy features specific to post-transition countries, with particular emphasis on the characteristics and implications of penal populism.
Open Access: Yes
Regulation of Autonomous Vehicles in Public International Law from the Aspect of International Transport
Publication Name: International Journal of Automotive Science and Technology
Publication Date: 2025-12-17
Volume: 9
Issue: 1st Future of Vehicles Conf.
Page Range: 60-66
Description:
The issue of autonomous vehicles is one of the most pressing issues of our time that raises important questions regarding the territory of public international law. The development and spread of autonomous vehicles require predictable international regulation, which is extremely necessary in the field of international transport, where several steps have been taken in this direction. The aim of the study is to reveal and evaluate the actual overview of the state of regulation of autonomous vehicles within the field of international transport, paying special attention to the work of United Nations Economic Commission for Europe (UNECE) and the World Forum for Harmonisation of Vehicle Regulations (World Forum). For this purpose, the study analyzes the steps taken so far, presenting the two ways of regulation within these organs: the amendments of the existing rules of international transport and the creation of new documents for autonomous vehicles. With analytical, descriptive and comparative research methods, the study examines the question of whether these regulatory efforts are sufficient and what further steps should be taken to address the issue of autonomous vehicles in a satisfactory manner. The study comes to the conclusion that both the amendments and the new documents created so far have disadvantages, due to which they should be only regarded as starting points and the work should be continued in the direction of a new, precise and binding international treaty or treaties on autonomous vehicles. Based on the results of the study, this solution could contribute to the safety, sustainability and future of autonomous vehicles and international transport.
Open Access: Yes
Wineyard as a metaphor for a hill
Publication Name: Metszet
Publication Date: 2022-01-01
Volume: 13
Issue: 6
Page Range: 30-37
Description:
Wine production in Hungary has inspired the examination of the winery building type as a new genre in industrial architectural design. From the humble roots of a small agricultural press house and adjacent wine cellar found on the side of many hills a new building type has been grown, which much like a hill is massive, functional and conceals the idea of a subterranean cellar. Ekler has experimented in this genre creating his own brand of "vincellérház" "winecellarhouse" that do not conform to the expected rural aesthetic. They are bold, dynamic and to some extent confrontational.
Open Access: Yes
