Search Everything

Tip: Search using "First Name + Last Name", e.g.
János Kiss instead of Kiss János.

Publications - 6383

Spatial Allocation of Wind Farms and Flexibility Requirements: A Genetic Algorithm-based Optimization Approach

Adrienn Dineva Endre Borcsok Rita Fleiner Ágnes Gerse

Publication Name: 2024 22nd International Conference on Intelligent Systems Applications to Power Systems Isap 2024

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

This paper addresses the impact of spatial allocation on the flexibility requirements of wind farms in the context of the mid-term development of wind energy exploitation in Hungary. As a starting point for evaluating flexibility requirements, a wind power simulation model is adopted that converts hourly wind speed time series derived from climate reanalysis into hourly aggregate power output using theoretical power curves. This simulation model allows for evaluating various flexibility metrics for both existing and hypothetical wind farms. As a second step, a Genetic Algorithm (GA) is integrated with the simulation environment to find an optimal subset of hypothetical wind farms with respect to flexibility requirements. The application of GA reveals insights into how spatially optimizing wind farm placement can significantly reduce flexibility requirements. This finding can have practical implications for policy-makers and planners in the renewable energy sector, especially given the evolving regulatory landscape and increasing focus on grid stability.

Open Access: Yes

DOI: 10.1109/ISAP63260.2024.10744302

Development and validation of an LNA-based multiplex RT-qPCR assay for differentiating Betaarterivirus europensis (PRRSV-1), Betaarterivirus americense (PRRSV-2), and the highly pathogenic L8 lineage of PRRSV-2

Balázs Ásványi K. Szenthe István Gyurján Babett Greff Zsófia Sipos-Kozma Miklós Szathmáry Johannes Söllner F. Bánáti Béla Dénes Z. Kerényi Susan Szathmary László Varga

Publication Name: Veterinary Journal

Publication Date: 2026-08-01

Volume: 318

Issue: Unknown

Page Range: Unknown

Description:

Porcine reproductive and respiratory syndrome virus (PRRSV) is a highly variable arterivirus that causes major economic losses in swine production and requires reliable molecular diagnostics for surveillance and eradication programs. We developed and validated a one-step multiplex RT-qPCR assay for the simultaneous detection and differentiation of Betaarterivirus europensis (PRRSV-1), Betaarterivirus americense (PRRSV-2), and the highly pathogenic L8 lineage of PRRSV-2, together with an RNA internal control in a single reaction. Short LNA-modified probes were designed to target conserved yet discriminatory sequence motifs, improving specificity and supporting multiplex detection. Analytical performance was evaluated using spiked swine serum, naturally positive samples, and independent laboratory testing against a commercial comparator. The assay showed excellent linearity across all channels (R2 = 0.99) and low detection limits of 13–26 copies per reaction at 95% detection probability. Robustness testing, including 2 h bench exposure and a 3°C thermocycler shift, produced negligible Cq changes, while a 1,000-fold competitor challenge indicated minimal cross-reactivity. Intra- and inter-assay variability were low, qualitative agreement with the comparator was 100%, and reagents remained stable for 30 weeks and after up to 10 freeze–thaw cycles. This LNA-based multiplex RT-qPCR assay provides a sensitive, specific, and operationally convenient tool for PRRSV surveillance and control programs.

Open Access: Yes

DOI: 10.1016/j.tvjl.2026.106731

Exploring the Adoption of AI Hearing Care: A Mixed Methods Investigation Using DEMATEL and Thematic Analysis

Ankit Mehrotra Manlio Del Giudice Hadeel Alsaleh Attila Kurucz Abhishek Bhushan Singhal

Publication Name: Journal of Global Information Management

Publication Date: 2026-01-01

Volume: 34

Issue: 1

Page Range: 1-33

Description:

This paper explores the key enablers driving clinical adoption of AI-enabled audiology tools. Despite rapid technological maturity, real-world uptake remains uneven. Using a three-phase mixed-methods design, the authors identified and prioritised adoption drivers. Phase I involved a targeted literature scan (1991–2025), yielding 21 candidate factors. Phase II refined these through interviews with audiologists, physicians, engineers, and health-IT managers, distilling 10 core drivers. Phase III applied a decision-making trial and evaluation laboratory survey with 27 clinicians, revealing a causal chain where data accuracy, real-time analytics, and seamless integration enhance workflow efficiency, clinician confidence, and patient personalisation. Robust technical support and structured training further amplify adoption. Cluster analysis grouped drivers into technological, human-capital, and process domains, suggesting distinct tactical interventions. This study provides the first domain-specific causal influence map for AI adoption in hearing healthcare.

Open Access: Yes

DOI: 10.4018/JGIM.405162

Improving pavement performance by compact-asphalt technology

Peter Fuleki

Publication Name: Pollack Periodica

Publication Date: 2009-12-01

Volume: 4

Issue: 3

Page Range: 111-120

Description:

A quite considerable part of the Hungarian road infrastructure is in critical condition due to the steady traffic growth of heavy good vehicles and increasing frequency of extreme weather conditions. The author analyzed the most typical deterioration problems of asphalt pavements, their possible causes and the reasons of shortened service life of these pavements. The impacts of construction compact-asphalt technology' modifications on the asphalt pavements were studied. Based on laboratory analysis of appropriate specimens, as a result of these technology modifications, changing characteristics of the asphalt pavement were revealed and more reliable data were provided for lifecycle costing and maintenance parameters used as input in the economic analysis. © 2009 Akadémiai Kiadó.

Open Access: Yes

DOI: 10.1556/Pollack.4.2009.3.10

P-graphs for process systems engineering: Mathematical models and algorithms

Ákos Orosz Jean Pimentel Losada Ferenc Friedler

Publication Name: P Graphs for Process Systems Engineering Mathematical Models and Algorithms

Publication Date: 2022-02-03

Volume: Unknown

Issue: Unknown

Page Range: 1-261

Description:

This book discusses the P-graph framework for developing and understanding effective design tools for process systems engineering, and addresses the current state of its theory and applications. The book details the new philosophy of the axioms-based mathematical modelling of processing systems, the basic algorithms, areas of application, future directions, and the proofs of theorems and algorithms. Because of the rigorous foundation of the theory, the framework provides a firm basis for future research in mathematical modelling, optimization, and design of complex engineering systems. The various P-graph applications discussed include process network synthesis, reliability engineering, and systems resilience. The framework opens new avenues for research in complex systems including redundant operations for critical infrastructure, systems sustainability, and modelling tools for disaster engineering. Demonstration software is provided to facilitate the understanding of the theory. The book will be of interest to institutions, companies, and individuals performing research and R&D in process systems engineering.

Open Access: Yes

DOI: 10.1007/978-3-030-92216-0

Grooming-enhanced multicast in multilayer networks with bacterial evolutionary algorithm

János Botzheim Peter Balazs Soproni Tibor Cinkler László T. Kóczy

Publication Name: 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics Cinti 2007

Publication Date: 2007-12-01

Volume: Unknown

Issue: Unknown

Page Range: 211-225

Description:

In this paper we introduce new, bacterial evolutionary algorithm (BEA) based methods for routing unicast and multicast demands in grooming capable multi-layer optical wavelength division multiplexing (WDM) networks. The methods introduced are compared with both well known heuristic methods, accumulative shortest path heuristic (ASP) and minimum path heuristic (MPH), and as well as with ILP. We prove the strength of our approach by comprehensive simulations in our versatile simulator.

Open Access: Yes

DOI: DOI not available

Transistor-level test calculation for CMOS circuits

Jozsef Sziray

Publication Name: Iccc 2009 IEEE 7th International Conference on Computational Cybernetics

Publication Date: 2009-12-01

Volume: Unknown

Issue: Unknown

Page Range: 85-90

Description:

The paper presents a test calculation principle which serves for producing tests of transistor-level faults in CMOS digital circuits. The considered fault model includes stuck-at-0/1 logic faults on the connecting control lines, as well as switch faults in the transistors. Both single and multiple faults are included. The transistor faults manifest themselves in stuck open (open circuit) and stuck short (short circuit) behavior. In this paper only combinational logic circuits are taken into consideration. The calculation principle is comparatively simple. It is based only on successive line-value justification, and it yields an opportunity to be realized by an efficient computer program. ©2009IEEE.

Open Access: Yes

DOI: 10.1109/ICCCYB.2009.5393957

Hybrid Pythagorean Fuzzy Decision-Making Framework for Sustainable Urban Planning under Uncertainty

Dragan Pamucar Ashit Kumar Dutta Mohd Anjum Sana Shahab Vladimir Simic

Publication Name: CMES Computer Modeling in Engineering and Sciences

Publication Date: 2026-01-01

Volume: 146

Issue: 1

Page Range: Unknown

Description:

Environmental problems are intensifying due to the rapid growth of the population, industry, and urban infrastructure. This expansion has resulted in increased air and water pollution, intensified urban heat island effects, and greater runoff from parks and other green spaces. Addressing these challenges requires prioritizing green infrastructure and other sustainable urban development strategies. This study introduces a novel Integrated Decision Support System that combines Pythagorean Fuzzy Sets with the Advanced Alternative Ranking Order Method allowing for Two-Step Normalization (AAROM-TN), enhanced by a dual weighting strategy. The weighting approach integrates the Criteria Importance Through Intercriteria Correlation (CRITIC) method with the Criteria Importance through Means and Standard Deviation (CIMAS) technique. The originality of the proposed framework lies in its ability to objectively quantify criteria importance using CRITIC, incorporate decision-makers' preferences through CIMAS, and capture the uncertainty and hesitation inherent in human judgment via Pythagorean Fuzzy Sets. A case study evaluating green infrastructure alternatives in metropolitan regions demonstrates the applicability and effectiveness of the framework. A sensitivity analysis is conducted to examine how variations in criteria weights affect the rankings and to evaluate the robustness of the results. Furthermore, a comparative analysis highlights the practical and financial implications of each alternative by assessing their respective strengths and weaknesses.

Open Access: Yes

DOI: 10.32604/cmes.2025.073945

On the antecedent sets for fuzzy classification of colorectal polyps with stabilized KH interpolation

Ferenc Lilik László T. Kóczy Szilvia Nagy

Publication Name: Studies in Computational Intelligence

Publication Date: 2019-01-01

Volume: 796

Issue: Unknown

Page Range: 23-33

Description:

Polyps in the colorectal part of the bowel appear often, and in many cases these polyps can develop into malign lesions, such as cancer. Colonoscopy is the most efficient way to study the inner surface of the colorectum, and doctors usually are able to detect polyps on a motion picture diagnostic session. However, it is useful to have an automated tool that can help drawing attention to given parts of the image, and later a method for classification the polyps can also be developed. Statistical properties of the colour channels of the images are used as antecedents for a fuzzy decision system, together with edge densities and Renyi entropies-based structural entropy. However promising the processed images are, the variation in the preparation of the diagnosis as well as the practice of the operating personnel can lead to images with significantly different noise and distortion level, thus detecting the polyp can be complicated. In the following considerations image groups are presented that have similarities from the polyp detection point of view, and those type of images are also given, which can spoil a well prepared detecting system.

Open Access: Yes

DOI: 10.1007/978-3-030-00485-9_3