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Publications - 6374

Integrating push-out test validation and fuzzy logic for bond strength study of fiber-reinforced self-compacting concrete

Amin Ghodousian Oveys Ghodousian Majid Movahedi Rad Raffaele Cucuzza Vahid Shafaie

Publication Name: Construction and Building Materials

Publication Date: 2024-04-26

Volume: 425

Issue: Unknown

Page Range: Unknown

Description:

This study offers a comprehensive analysis of Fiber-Reinforced Self-Compacting Concrete (FRSCC) with a focus on shear bond strength influenced by specific compositions of microsilica, zeolite, slag, and polypropylene fibers. Twenty distinct FRSCC mixes underwent extensive testing, including 28-day compressive strength, tensile strength assessments, and push-out and slant shear tests. A significant outcome is the strong correlation between the push-out and slant shear test results, exemplified by an R² value of 0.88, confirming the push-out test as a viable and practical alternative for bond strength assessment. Experimentally, fibers were found to enhance tensile strength, with the inclusion of 15% microsilica and slag further amplifying this effect, highlighting the critical role of precise pozzolan selection in achieving optimal mechanical performance and workability in FRSCC. Furthermore, the study introduces a fuzzy logic system for predicting shear bond strength, achieving high predictive accuracy with R² values reaching up to 0.96, depending on the t-norms utilized. This research not only validates the push-out test as a reliable method for evaluating shear bond strength in FRSCC but also demonstrates the efficacy of the fuzzy logic approach, representing a groundbreaking contribution in both computational analysis and practical methodology for concrete structural integrity.

Open Access: Yes

DOI: 10.1016/j.conbuildmat.2024.136062

The willingness and preparedness of local governments in Ap Vojvodina/Serbia to grip and use development funds of the European Union

Imre Nagy András Ricz

Publication Name: Deturope

Publication Date: 2017-01-01

Volume: 9

Issue: 2

Page Range: 118-128

Description:

EU funds that are available in Serbia are modest both in volume and number, since Serbia received preaccession status only in 2014. Before that, it was only a potential pre-accession country on the external border of the European Union. From the five components of IPA (2007-2013) Serbia could have utilised only the first two components in the pre-accession process: building of EU institutions (EXCHANGE IIV, Regional Socio-Economic Development Programme) and enhancing cross-border cooperation As a conclusion we can say that although substantial sums were invested from the above mentioned resources into the economy of Vojvodina for its development, the main indicator - the GDP - has been increasing only slightly, while these projects have no effects on decreasing unemployment. In the overall economic situation, unemployment is primarily decreased by emigration, in which Vojvodina Hungarians take part at a rate above the average compared to their headcount, thus decreasing the economic power of the community through emigration.

Open Access: Yes

DOI: 10.32725/det.2017.016

Wind-Disturbance Integrated LPV Model for Energy-Efficient Vehicles †

Tamás Luspay Zoltan Pusztai

Publication Name: Engineering Proceedings

Publication Date: 2025-01-01

Volume: 113

Issue: 1

Page Range: Unknown

Description:

This paper introduces a control-oriented Linear Parameter Varying (LPV) model of an energy-efficient electric vehicle, enhanced to account for wind-induced disturbances. The proposed model structure is designed to support model-based control strategies focused on minimizing energy consumption. In addition to core control inputs—such as torque reference and cornering radius—the model integrates a simulated representation of wind effects on the vehicle’s longitudinal dynamics. To manage the underlying nonlinearities of the vehicle dynamics, a trajectory-based linearization approach was employed to construct the baseline LPV model without wind effects. The accuracy of the extended model was validated using real-world speed profile data. Owing to its modular and control-compatible design, the model provides a solid foundation for testing and developing energy-saving control strategies, making it especially applicable to the design and operation of energy-efficient electric vehicles. The proposed model holds significant potential for further reducing energy consumption, particularly in urban transportation scenarios.

Open Access: Yes

DOI: 10.3390/engproc2025113044

Deep-learning based adaptive fusion of CC and MLO views for improved mammographic cancer diagnosis

Dragan Pamucar Rajesh Kumar Dhanaraj Harikumar Rajaguru Anto Lourdu Xavier Raj Arockia Selvarathinam Rajesh Kumar Dhanaraj Harikumar Rajaguru Sannasi Chakravarthy Surulimani Ramaraj

Publication Name: Methodsx

Publication Date: 2026-06-01

Volume: 16

Issue: Unknown

Page Range: Unknown

Description:

Breast cancer remains the most prevalent malignancy among women worldwide. The timely detection of this cancer type is critical for improving survival outcomes. Despite advancements, mammogram classification using deep learning strategies still faces challenges. These include inter-view feature inconsistency, loss of diagnostic details, and limited interpretability. In order to address these issues, MammoFusion-Net, a dual-branch deep learning framework, is proposed for mammogram-based breast cancer classification. Using residual convolutional streams, the framework processes craniocaudal (CC) and mediolateral oblique (MLO) views independently. This supports preservation of view-specific anatomical information. In the proposed framework, a Gates Cross-View Fusion mechanism adaptively integrates features across views. As a result of experimental analysis, the proposed framework achieved 92.116 % (VinDr-Mammo dataset) and 95.556 % (INBreast dataset) of improved classification performance.•Employs a dual-branch architecture to independently process CC and MLO views using residual convolutional streams.•Integrates Gated Cross-View Fusion and attention mechanisms adaptively and refines multi-view features for stronger discrimination.•Demonstrates the explainability of the model through Grad-CAM visualizations that highlight lesion-relevant regions.

Open Access: Yes

DOI: 10.1016/j.mex.2026.103827

The Significance of Data Integration in Geotechnical Engineering: Mitigating Risks and Enhancing Damage Assessment of Expansive Soils

Ammar N. Alnmr R. P. Ray

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 541-546

Description:

Geotechnical Engineering is a data-driven specialty that models the behavior of soil and rock as engineering materials. Due to their nature, however, much effort is directed toward defining the material properties and extent of various soil and rock on a site (buildings, bridges, dams) or region (transportation infrastructure). The great extent and variability of soil as an engineering material have led to the development of material, field exploration, and laboratory testing databases. Some have become national in scope, while others have expanded along specialist lines (e.g., earthquakes, landslides). This paper presents a typical application that investigates the impact of swelling clays and discusses its integration into the BENIP framework, with an emphasis on its role in advancing sustainability in geotechnical engineering. The study employs artificial neural networks as a modeling tool to predict crucial parameters such as dry density and in-situ confining stress, which directly influence volumetric changes in the soil. By minimizing these changes, potential damage associated with swelling clays, including ground movement, foundation deterioration, and infrastructure instability, can be mitigated. The results of the study exhibit promising outcomes, signifying the potential effectiveness of the proposed neural network models in promoting sustainability in geotechnical engineering.

Open Access: Yes

DOI: 10.3303/CET23107091

Seroprevalence of hepatitis B and hepatitis C viral infections among refugees in Muzaffarabad, Pakistan

Fahad Nasser Almajhdi D. U. Ozsahin Y. Waheed Abdul Sami Bashir Ahmad D. U. Ozsahin Sohail Naser Awan

Publication Name: BMC Infectious Diseases

Publication Date: 2025-12-01

Volume: 25

Issue: 1

Page Range: Unknown

Description:

Background: Hepatitis B (HB) and Hepatitis C (HC) viral infections, with 328 million cases globally, represent a significant disease burden. Currently, Pakistan has 3.88 million HB and 9.31 million HC cases. High-risk populations like refugees are disproportionately affected by these infections. The objectives of this study were to determine the seroprevalence of hepatitis B surface antigen (HBsAg) and hepatitis C virus antibody (anti-HCV) among Kashmiri refugees in Muzaffarabad, Pakistan, and to identify the key demographic and educational risk factors associated with the seroprevalence in this population. Methods: A cross-sectional study was conducted across eight refugee camps in the Muzaffarabad division, Pakistan. A six-membered team visited each camp to collect blood samples through venipuncture. The seroprevalence of HBsAg and anti-HCV was determined using rapid immunochromatographic test (ICT) kits. Results: A total of 550 sera samples were collected from the refugee population in Muzaffarabad. The overall seroprevalence was 5.82% (32/550) for HBsAg and 4.73% (26/550) for anti-HCV. A higher seroprevalence of HBsAg and anti-HCV was recorded among females 6.12% (15/245), and 6.53% (16/245), respectively, compared to males 5.75% (17/305), and 3.28% (10/305), respectively. A marked increase in seroprevalence of HBsAg and anti-HCV was noted with an increase in age: 1–10 (2.44%) and (2.44%), 41–50 (8.20%) and (6.56%), and 51–60 (8.93%) and (8.93%), respectively. Chi-square test revealed a statistically significant association between age and seroprevalence of HBsAg χ² (degrees of freedom (df):6, N = 550) = 27.22, p = 0.000, and HC χ² (df:6, N = 550) = 15.23, p = 0.019.The level of education impacted the seroprevalence of HBsAg and anti-HCV, resulting in a higher seroprevalence of HBsAg (6.9%) and anti-HCV (5.4%) among uneducated individuals compared to educated individuals (4.71%) and (3.99%), respectively. Conclusion: The seroprevalence of HBsAg and anti-HCV is high among the refugee population of Muzaffarabad, Pakistan. There is a need for the implementation of a robust vaccination program for HB as well as the establishing a hepatitis micro-elimination program among the Kashmiri refugee population of Muzaffarabad, Pakistan.

Open Access: Yes

DOI: 10.1186/s12879-025-11636-5

Advanced Numerical Simulation and Modeling of Multi-Pass Welding Processes: Detailed Analysis of Temperature Distribution in Structural Elements

János Szép Majid Movahedi Rad Daniel Gosztola Péter Grubits

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 823-828

Description:

The growing importance of numerical simulations in the welding industry stems from their ability to enhance structural performance and sustainability by ensuring optimal manufacturing conditions. The use of the finite element method (FEM) allows for detailed and precise calculations of the mechanical and material changes caused by the welding process. Acquiring knowledge of these parameters not only serves to augment the quality of the manufacturing process but also yields consequential benefits, such as reducing adverse effects. Consequently, the enhancement of structural performance and prolonged lifespan becomes achievable, aligning with overarching sustainability goals. To achieve this goal, this paper utilizes numerical simulations of welding processes based on experimental tests, with a specific focus on analyzing temperatures generated within the structures. In the finite element analysis (FEA), a total of 12 welding cycles were systematically modeled to align with experimental conditions, incorporating cooling intervals, preheating considerations, and the relevant section of the connecting concrete structure with studs. The outcomes of this research exemplify the potential of numerical simulation in the welding industry, demonstrating a diverse range of results achieved through FEA to enhance the quality of structures within the context of sustainability.

Open Access: Yes

DOI: 10.3303/CET24114138

Design and implementation of Enum-based services

Miklós F. Hatwágner T. Heckenast Agnes Varga N. Varjasi Balázs Benyó Katalin Kovács

Publication Name: Journal of Universal Computer Science

Publication Date: 2006-11-23

Volume: 12

Issue: 9

Page Range: 1128-1138

Description:

ENUM is a technology based on a procedure that assigns a sequence of traditional telephone numbers to Internet domain names. It specifies a rule that makes it possible to relate a domain to a telephone number without any risk of ambiguity. This domain can then be used to identify various communication services like fax, mobile phone numbers, voice-mail systems, e-mail addresses, IP telephone addresses, web pages, OPS coordinates, call diverts or unified messaging. In our paper we deal with three main problem areas in connection with the business model of the ENUM service and with the introduction of new services, i.e. the questions of tariffs, legal regulations and financial return. For the ENUM procedure to spread out in use specific services have to be implemented that can exploit the advantages of the ENUM and efficient methods have to be elaborated to base existing services on ENUM. We will outline the two new services invented by our group and that we have implemented in our project. © J.UCS.

Open Access: Yes

DOI: DOI not available

Fuzzy models and interpolation

János Botzheim Tamás D. Gedeon Laszlo T. Koczy

Publication Name: Studies in Fuzziness and Soft Computing

Publication Date: 2007-10-08

Volume: 217

Issue: Unknown

Page Range: 111-131

Description:

This paper focuses on two essential topics of the fuzzy area. The first is the reduction of fuzzy rule bases. The classical inference methods of fuzzy systems deal with dense rule bases where the universe of discourse is fully covered. By applying sparse or hierarchical rule bases the computational complexity can be decreased. The second subject of the paper is the introduction of some fuzzy rule base identification techniques. In some cases the fuzzy rule base might be given by a human expert, but usually there are only numerical patterns available and an automatic method has to be applied to determine the fuzzy rules. © 2007 Springer-Verlag Berlin Heidelberg.

Open Access: Yes

DOI: 10.1007/978-3-540-73182-5_6