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Found 6412 publications

Hungary's inflationary exposures to global price movements

Pál Pusztai Peter Vakhal Krisztián Koppány

Publication Name: Society and Economy

Publication Date: 2023-09-15

Volume: 45

Issue: 3

Page Range: 186-207

Description:

This paper investigates Hungary's inflationary exposures to global price movements using a simple cost-push input-output price model and a database of inflation-to-output price elasticities (Global Inflation-to-Output Price Elasticity Database, GIOPED) developed on the basis of the OECD's Inter-Country Input-Output Tables. Inflation elasticities are decomposed into local, simple, and complex global value chain effects by applying Wang's decomposition scheme (Wang et al. 2017) to price movements and inflation. Our empirical analysis based on GIOPED elasticities shows that Hungary is highly exposed to global value chain price transmissions originating in Germany, Austria, and Russia; and in particular to changes in energy prices. The crude oil and natural gas price boom and the resulting energy crises caused a significant increase in consumer price levels in Hungary; however, this explains only a fraction of current inflation rates.

Open Access: Yes

DOI: 10.1556/204.2023.00015

Omnibus legislation: a tool for and against the rule of law in developing and established democracies

Zsolt Szabó

Publication Name: Journal of Legislative Studies

Publication Date: 2026-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

The use of omnibus legislation is increasing all around the world. This paper looks at legislative data and cases of omnibus legislation from three countries at different stages of the democratic transition process: Turkey, Indonesia and Hungary. In these countries, omnibus legislation was a tool used by dominant executives to circumvent or weaken the parliament. Omnibus legislation is a flexible tool for compromised law reforms (legal approximation of EU integration), and frequently used also for political bargaining, in order to reach package deals within the legislature (Italy, Canada, the USA). On the other hand, omnibus laws make the legislative procedure less transparent. The possibility of constant amendment packages in (negative) omnibus laws erodes legal perfection and brings uncertainty and mistakes into laws, which then call for even more amendments for corrections, creating a vicious circle.

Open Access: Yes

DOI: 10.1080/13572334.2026.2667669

An AI-Driven Framework for Network Intrusion Detection Using ANOVA-Based Feature Selection

Sandor R. Repas Salam Allawi Hussein

Publication Name: International Journal of Advanced Computer Science and Applications

Publication Date: 2025-12-31

Volume: 16

Issue: 12

Page Range: 853-861

Description:

In the last few years, cyberattacks have become more complex, and it is becoming increasingly necessary to establish secure networks. This study examines enhancements to intrusion detection systems (IDSs) with the implementation of machine learning for the categorization of network traffic attacks. For the current study, we utilize four publicly available datasets: CICIDS2017, CIC-DoS2017, CSE-CIC-IDS2018, and CIC-DDoS2019. We examined three machine learning techniques: LightGBM, Random Forest, and XGBoost. Experimental results showed that RandomForest and XGBoost achieved the highest accuracy of 0.99 in both binary and multi-class intrusion detection tasks, maintaining balanced performance with macro F1-scores around 0.86. LightGBM exhibited slightly lower overall performance, but benefited from ANOVA-based feature selection, which improved its recall and model stability. Feature selection also enhanced computational efficiency by reducing feature redundancy while preserving accuracy across models. These results highlight how AI tools could help network security deal with emerging threats and improve the performance of IDS. The study underscores the critical role of feature selection in enhancing model efficiency, hence promoting advancements in automated network security systems that can adapt to evolving cyber threats.

Open Access: Yes

DOI: 10.14569/IJACSA.2025.0161280

Multi TP model transformation for functions with different numbers of variables

Peter Baranyi

Publication Name: 8th IEEE International Conference on Cognitive Infocommunications Coginfocom 2017 Proceedings

Publication Date: 2017-07-02

Volume: 2018-January

Issue: Unknown

Page Range: Unknown

Description:

Models in the cognitive sciences and AI are typically based on heuristic combinations of soft computing methods - including fuzzy approaches, neural networks and others. It is often difficult, if not completely intractable to apply operations between such models, as they are usually given in different mathematical representations or using different frameworks that may or may not be suitable for their unification. This paper focuses on the TP model transformation, which plays an important role in transforming various model representations to a unified form that fits well with formalised mathematical design concepts. The novelty of the paper is a new extension of the TP model transformation that is capable of transforming a set of models with a different number of inputs. This is in contrast to previous solutions, in which the requirement for all models to have the same number of inputs was a strong limitation.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2017.8268287

Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions

János Botzheim Krisztián Balázs Laszlo T. Koczy

Publication Name: 2010 World Automation Congress Wac 2010

Publication Date: 2010-12-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

In this paper various restrictions are proposed in the construction of hierarchical fuzzy rule bases by using Genetic and Bacterial Programming algorithms in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The properties (learning speed, accuracy) of the established systems are observed based on simulation results and they are compared to each other. © 2010 TSI Press.

Open Access: Yes

DOI: DOI not available

Segmentation of a road vehicle vibration signal using multiple comparison procedures between paired samples

László Róbert Hári

Publication Name: Tehnicki Vjesnik

Publication Date: 2021-08-01

Volume: 28

Issue: 5

Page Range: 1597-1604

Description:

Segmentation of road vehicle vibration (RVV) signals can occur by the need to analyse or synthesise vibrations obtained in passenger cars or on the stowage of vans, trucks. A general and widely used measure to quantify RVV signals is its description via power spectral density (PSD). From a given PSD a Gaussian signal can be generated in a shaker testing laboratory. However, actual RVVs tend to have a non-Gaussian and nonstationary nature, which can be modelled as a composition of different segments, each with a different length and RMS content. For simulation purposes of nonstationary vibration signals, different approaches have been introduced yet each with its unique signal segmentation approaches. The current paper proposes a signal segmentation method implemented in the time-frequency domain in order to find segments within an RVV signal, where each segment has similarity in-between and is dissimilar to neighbouring segments. For this purpose, multiple comparison tests had been utilised between the Short-time Fourier transforms (STFT) applied on given fractions of an RVV. Different countermeasures had been applied against the Type I. error inflation.

Open Access: Yes

DOI: 10.17559/TV-20200122112551

From complexity & research to cleanliness: The synergy of R&D investments, EV technologies and green complexity for sustainability

Laszlo Vasa Irum Shahzadi Yuriy Bilan Zuchang Zhong Muhammad Adnan Bashir Irum Shahzadi

Publication Name: International Review of Economics and Finance

Publication Date: 2026-01-01

Volume: 105

Issue: Unknown

Page Range: Unknown

Description:

The developed and emerging countries strive for sustainability and focus on enhancing greener energy and electric products. Adopting electric vehicles and utilizing green energy sources are essential to this objective. This study examines the synergy between EV technologies, green energy, and sustainability in China using quarterly data from 2010Q1 to 2022Q4. In addition, it considers the policy-level roles of economic complexity and research and development efforts in the EV industry. The authors employ novel time-series methods to assess long-term associations, including unit root testing, the Bayer-Hanck cointegration test, FMOLS, and DOLS. Robustness is checked using both a parametric method (least squares with breaks) and a non-parametric method (quantile regression). The empirical results reveal that electric vehicle technologies, economic complexity, and R&D expenditures exert an unfavorable effect on greenhouse gas emissions. By contrast, green energy and economic globalization significantly reduce ecological emissions in the long run. The robustness check analysis through parametric and non-parametric provides robust and valid outcomes. Promoting the adoption of electric vehicles and investing in green energy, and research & development intiaitves have significant policy implications for attaining environmental sustainability. lastly, enhancing economic complexity and fostering economic globalization should be considered to ensure a stable environment and facilitate sustainable development and better environmental quality.

Open Access: Yes

DOI: 10.1016/j.iref.2025.104743

Examining the Naringin Content and Sensory Characteristics of Functional Chocolate Fortified with Grapefruit Peel Extract

Beatrix Sik Aron Csuti Zsolt Ajtony

Publication Name: Plant Foods for Human Nutrition

Publication Date: 2023-09-01

Volume: 78

Issue: 3

Page Range: 533-538

Description:

Grapefruit peel contains a high concentration of naringin- a potent antioxidant with strong bioactive properties. In this study, a new type of functional chocolate fortified with grapefruit peel extract and different concentrations of aqueous methanol and ethanol were evaluated as extraction solvents. A new high-performance liquid chromatography (HPLC) method to analyze the naringin content of the fortified chocolates was developed with a recovery of 107% ± 3.1% and repeatability below 3.5%. A sensory evaluation was conducted to assess the preference for the chocolates among individuals who self-described a preference for bitter flavors. No significant preference was observed in the cases of astringency and aftertaste while the increased bitterness proved to be favorable. However, taste, flavor and overall acceptability were regarded somewhat less favorably. While chocolate proved to be a satisfactory carrier for naringin and had several enjoyable characteristics, further research may focus on improving the organoleptic properties of chocolates fortified by naringin.

Open Access: Yes

DOI: 10.1007/s11130-023-01091-5

Remanufacturing a Synchronous Reluctance Machine with Aluminum Winding: An Open Benchmark Problem for FEM Analysis

Miklós Kuczmann Mihaly Katona Tamas Orosz Zoltan Nemeth Dávid Gábor Bányai

Publication Name: Electronics Switzerland

Publication Date: 2024-02-01

Volume: 13

Issue: 4

Page Range: Unknown

Description:

The European Union’s increasing focus on sustainable and eco-friendly product design has resulted in significant pressure on original equipment manufacturers to adopt more environmentally conscious practices. As a result, the remanufacturing of end-of-life electric machines is expected to become a promising industrial segment. Identifying the missing parameters of these types of machines will play an essential role in creating feasible and reliable redesigns and remanufacturing processes. A few case studies related to this problem have been published in the literature; however, some novel, openly accessible benchmark problems can facilitate the research and function as a basis for comparing and validating novel numerical methods. This paper presents the identification process of an experimental synchronous machine. It outlines methodologies for identifying material properties, winding schemes, and other critical parameters for the finite element analysis and modelling of electric machines with incomplete information. The machine in question is intended for remanufacturing, with the plan to replace its faulty winding with an aluminium-based alternative. It also serves as an open benchmark problem for researchers, designers, and practitioners.

Open Access: Yes

DOI: 10.3390/electronics13040727