Ferenc Erdos

56193230500

Publications - 14

Comparative analysis of NLP-driven MCQ generators from text sources

Ferenc Erdos Richard Nemeth Vijayakumar Varadarajan Stephen Afrifa Asmae Azzi

Publication Name: Computers and Education Artificial Intelligence

Publication Date: 2025-12-01

Volume: 9

Issue: Unknown

Page Range: Unknown

Description:

The application of learning sciences with technology has been shown to boost learner interactions, yet the potential of advanced tool, particularly those that leverage Natural Language Processing (NLP), still very much untapped in learning contexts. This paper speaks to this age-old problem of generating quality Multiple-Choice questions (MCQs) – a prevalent but time-consuming mode of assessment – via the suggested comprehensive comparison study of template-based AI solutions. The study contrasts general-purpose Large Language Models (LLMs) with specialized MCQ-focused AI programs. The scientific approach employed was quite stringent, where each of the software applications was benchmarked using a common dataset of text across varying levels of complexity and topic. Results indicate that general-purpose LLMs, especially DeepSeek and ChatGPT, consistently present higher performance and reliability, especially when processing complex textual content. Whereas specialized tools offer distinctive formatting options, they exhibit decreasing performance as texts become more complex and signify strong operation constriction at the free versions. Developing solid and effective distractors turned out to be a complicated task for all the tested tools. We conclude the paper by presenting a standardized assessment model, making evidence-based recommendations for developers and teachers, and suggesting ways to incorporate various AI capabilities into modern educational assessment effectively.

Open Access: Yes

DOI: 10.1016/j.caeai.2025.100440

THE RISE OF AI IN TOURISM - A SYSTEMATIC LITERATURE REVIEW

Rajermani Thinakaran Ferenc Erdos László Koloszár Bayboboeva Firuza

Publication Name: Geojournal of Tourism and Geosites

Publication Date: 2025-01-01

Volume: 60

Issue: Unknown

Page Range: 1254-1265

Description:

Tourism ranks among the world's largest industries, and its sustained expansion has paralleled swift advancements in technology. Artificial Intelligence (AI) is increasingly recognized as a transformative force in tourism, offering human-like capabilities that enhance decision-making and service automation. Its application across the sector improves operational efficiency and personalizes customer experiences, thereby fostering innovation and competitiveness. However, the rapid integration of AI also presents conceptual, theoretical, and societal challenges that require critical examination. The research aims to synthesize the conceptual and theoretical research on AI in tourism from 2019 onwards. It examines key themes, theoretical perspectives, methodological rigor, and research gaps in the existing literature. Further goal is to identify thematic areas with a specific focus on AI applications. The study followed the PRISMA guidelines to conduct a systematic literature review (SLR). Academic databases, including Scopus and Web of Science, were searched to identify scientific-relevant peer-reviewed articles. From an initial pool of over 400 studies, we identified 45 significant journal articles and selected them for an in-depth analysis, that collectively illuminate how AI is reshaping tourism research and practice. Studies have drawn on innovation diffusion theory to explain adoption patterns, technology acceptance models to gauge user and employee attitudes, and service quality and co-creation theories to understand how AI can add value to the customer experience. It also highlighted the evolution of AI research in tourism, from conceptual discussions to empirical investigations. Gaps and challenges in the research were identified, including a limited focus on human-AI interaction, ethical concerns, and methodological rigor. The review concludes that AI has the potential to transform tourism by enhancing efficiency, personalization, and sustainability. The findings reveal that AI has been envisioned as a catalyst for transformation in the tourism industry, with applications ranging from intelligent forecasting and revenue management to service automation via robots and hyper-personalized travel experiences. AI-driven analytics can improve decision support for revenue management, capacity planning, and marketing strategy. However, realizing this potential requires addressing the improvement of technological competence of human resources, ethical issues, and implementation strategies.

Open Access: Yes

DOI: 10.30892/gtg.602spl22-1498

Optimizing Video Resolution for Machine Learning-Based Traffic Monitoring Systems: A Performance Analysis

Ferenc Erdos Enas Elshebli

Publication Name: International Conference on Engineering and Emerging Technologies Iceet

Publication Date: 2024-01-01

Volume: Unknown

Issue: 2024

Page Range: Unknown

Description:

This study explores the impact of video resolution on the performance of machine learning-based traffic monitoring systems. Using a combination of empirical analysis and theoretical modeling, we assess how different resolutions affect detection accuracy, resource consumption, and computational efficiency. While other factors such as noise level, or compression artifacts also influence performance, resolution was chosen as a primary variable due to its critical role in balancing detail capture and computational cost. Higher resolutions can enhance object detection accuracy but also significantly increase data processing demands, making resolution a key trade-off in designing efficient surveillance systems. Findings of this study show significant insights into these trade-offs, guiding transportation authorities and system developers in making informed decisions to design scalable traffic monitoring solutions that meet the demands of modern urban environments.

Open Access: Yes

DOI: 10.1109/ICEET65156.2024.10913642

Fake News Classification on Social Media in the Field of Environmental Engineering

Ferenc Erdos K. Kovács Richard Nemeth

Publication Name: Chemical Engineering Transactions

Publication Date: 2024-01-01

Volume: 114

Issue: Unknown

Page Range: 961-966

Description:

Environmental engineering plays a crucial role in addressing the sustainability challenges of the environment and everyday life. These areas cover a wide range of aspects, from environmental impacts, efficient use of natural resources, waste management and recycling, and improving air and water quality to preventing, managing and mitigating environmental hazards and disasters. For example, climate change, global warming, pollutant emissions, etc., are frequently discussed on social media. Unfortunately, however, these platforms, as the primary means of mass information, provide scope for misinformation, manipulation and influencing opinions through dubious or outright fake news and posts. Despite the prevalence and growing volume of research on detecting fake news, there is a significant lack of quality publications focusing specifically on this environmental engineering-related area. In this paper, the authors aim to bridge this gap by developing a supervised machine-learning model for detecting fake news in this field of science. To build a robust model, a training dataset was constructed by using a specific dataset of labelled social media posts containing keywords from Chemical Engineering Transactions journal articles, with a particular focus on sustainability and environmental aspects. This research contributes to enhancing the integrity of environmental engineering in social media discourse by providing a tool for identifying and mitigating the spread of misinformation, promoting informed decision-making and critical thinking, and improving public awareness of environmental matters.

Open Access: Yes

DOI: 10.3303/CET24114161

User experience testing methods: Conclusions from the literature

Éva Bednárik Rajermani Thinakaran Ferenc Erdos László Koloszár Alexandra Takáts

Publication Name: Edelweiss Applied Science and Technology

Publication Date: 2024-01-01

Volume: 8

Issue: 5

Page Range: 1400-1412

Description:

Industry 4.0 focuses on the digitalization of production processes and technological innovation. The concept of Industry 5.0 puts the focus on human-centricity, sustainability, and resilience at the heart of research and development and innovation (R&D&I) processes to allow industry to serve humanity with a long-term vision that considers planetary boundaries. Replacing the technology-driven approach with a fundamentally human-centric approach requires a deep understanding of the working environment and workers interacting with machines to optimize worker well-being, working conditions, and job outcomes. Analyzing computer work User eXperience (UX) in industrial environments is vital. However, user perceptions are usually hidden and a challenge to detect. Therefore, measuring and monitoring perceptions, emotional reactions, subjective elements, preferences, and attitudes in the relationships between usability, work performance, and workload is crucial. This study provides conclusions of a literature review on user experience studies focusing on UX testing methods and the disciplines linked to industrial diversification. Based on literature analysis, it identifies UX testing methods and create own grouping to analyze them. It also examines the disciplinary context of user experience testing.

Open Access: Yes

DOI: 10.55214/25768484.v8i5.1843

Sustainability Approach of SAP Application Management Service Solutions in the Field of Warehouse Management

Ferenc Erdos Rahma Farhat

Publication Name: Chemical Engineering Transactions

Publication Date: 2023-01-01

Volume: 107

Issue: Unknown

Page Range: 259-264

Description:

Organizations using SAP systems encounter the challenge of enhancing services while minimizing costs and response times. To achieve this, SAP offers a comprehensive range of sustainable cloud solutions in the field of Application Management Services (AMS), integrating machine learning, big data, and smart-machine technologies. This research endeavors to offer an alternative, sustainable approach, utilizing non-cloud-based machine learning to improve the efficiency of ticket classification in SAP AMS. This study presents an SAP Extended Warehouse Management (EWM) related case study in which various machine learning algorithms were applied to real-world SAP ticket data to automatically categorize incident tickets. As warehousing plays a major role in streamlining the supply chain, this approach aligns with the goals of sustainable supply chain process optimization. During the analysis, various classification algorithms were compared to achieve the best metrics. Our research did not just analyze the different algorithms for that specific business problem. The best model was integrated and deployed as well to accomplish a sustainable SAP AMS solution in the field of EWM.

Open Access: Yes

DOI: 10.3303/CET23107044

Virtual Teamwork in Gamified 3D Environment

Ferenc Erdos Richard Nemeth Bayboboeva Firuza

Publication Name: Infocommunications Journal

Publication Date: 2023-01-01

Volume: 2023

Issue: Unknown

Page Range: 15-20

Description:

Virtual teamwork has spread strongly in various fields in recent times. COVID lockdown measures radically boosted the use of distance-independent remote collaboration methods. Although there are many modern virtual 3D spaces available for teamwork today, they lack additional motivational factors other than the visual 3d experience. Based on this, we tried to research the possible benefits of using gamification technics in 3D virtual collaboration environments to increase virtual team members' motivation. This article attempts to explore and highlight the possibilities of this area, and propose a model framework for implementation of gamified elements in 3D virtual teamwork environments.

Open Access: Yes

DOI: 10.36244/ICJ.2023.SI-IODCR.3

Combination of Simulation and Machine Learning to Mitigate Traffic Emissions

Ferenc Erdos Enas Elshebli

Publication Name: 2022 13th IEEE International Conference on Cognitive Infocommunications Coginfocom 2022

Publication Date: 2022-01-01

Volume: Unknown

Issue: Unknown

Page Range: 41-46

Description:

Nowadays, traffic congestion and air pollution in urban areas become huge challenges to transportation engineering. On the other hand, technologies have evolved, and simulation and artificial intelligence have become important tools to face these challenges. In this paper, a review of this research field is done, and a possible combination of simulation and machine learning to mitigate traffic emissions is proposed. The long-term goal of the research is to establish an effective emission mitigation model for some specific crossings.

Open Access: Yes

DOI: 10.1109/CogInfoCom55841.2022.10081682

Economical Aspects of UX Design and Development

Ferenc Erdos

Publication Name: 10th IEEE International Conference on Cognitive Infocommunications Coginfocom 2019 Proceedings

Publication Date: 2019-10-01

Volume: Unknown

Issue: Unknown

Page Range: 211-214

Description:

It is an interesting phenomenon that the term and importance of User Experience (UX) has been widely recognized and accepted in the CogInfoCom community, however the economic aspects, connections and consequences is not really being researched. Many researches confirm that good UX is good for business, but the conviction of software investment decision makers should be based on financial calculation findings. This paper attempts to highlight and analyze the monetary sides of different business software developments related to UX.

Open Access: Yes

DOI: 10.1109/CogInfoCom47531.2019.9089992

AMT-based real-time, inter-cognitive communication model

Ferenc Erdos Richard Nemeth

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2019-01-01

Volume: 16

Issue: 6

Page Range: 115-127

Description:

3D technology has made remarkable progress in the last decade, considering the commercial successes and the availability of the technology. In this study we put emphasis on physical 3D visualization, which opens up a series of new possibilities, through the continuous development of AMT. The aim of our research is to develop an AMT-based, two-way and real-time, inter-cognitive communication model, which can be an effective tool for managers in the physical visualization of business information and in the determination of target values using different (strategic, tactical, operational) time horizons.

Open Access: Yes

DOI: 10.12700/APH.16.6.2019.6.8

Inter-cognitive Communication Model Using Additive Manufacturing Technology

Ferenc Erdos Richard Nemeth

Publication Name: 9th IEEE International Conference on Cognitive Infocommunications Coginfocom 2018 Proceedings

Publication Date: 2018-07-02

Volume: Unknown

Issue: Unknown

Page Range: 217-222

Description:

3D technology has made significant progress over the last decade. In this paper, we focus especially on physical 3D visualization using 4D-printed smart materials, which opens up new possibilities through the continuous development of the additive manufacturing technology (AMT). The aim of our research is to establish an AMT-based, two-way and real-time inter-cognitive communication model, which can be an effective tool in different situations, for example for managers in physical visualization of business information and in responding to displayed information.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2018.8639912

Economical aspects of 3D virtual collaboration

Ferenc Erdos Gábor Kallós

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:

Nowadays, 3D virtual collaboration is becoming increasingly fashionable and widespread, which was made possible by the improvement of end-user hardware and continuous software developments. The application of these tools may result in a number of positive effects on the processes of the given area, but the examination of their specific economic issues is far from being well-explored. In this paper, our objective is the analysis of the already perceptible economic effects and aspects of 3D virtual collaboration, as well as the overview of the methods by which specific financial impacts can be measured. Based on the review, we will try to develop a 3D virtual collaboration evaluation model that can be used to analyse the investment economic effects of a telework team in transition to a 3D virtual environment. Additionally, we will examine some educational relations.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2017.8268266

Introduce the term cognitive entity in information and communications technology investment analysis

Ferenc Erdos Gábor Kallós

Publication Name: 6th IEEE Conference on Cognitive Infocommunications Coginfocom 2015 Proceedings

Publication Date: 2016-01-25

Volume: Unknown

Issue: Unknown

Page Range: 217-222

Description:

Return on ICT investment analysis has become an essential task of finance function at corporations, let it be large multinational giants or small and medium-sized enterprises (SMEs). Besides the cost analysis, the benefit analysis is also a fundamental component of investment profitability calculations and decisions. This study introduces the term of cognitive entity in ICT productivity and investment analysis and focuses on the different approaches of cognitive entities' internal environmental effects.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2015.7390594

Benefit evaluation model for gamified add-ons in business software

Ferenc Erdos Gábor Kallós

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2014-01-01

Volume: 11

Issue: 5

Page Range: 109-124

Description:

Return on IT investment analysis has become a fundamental task of the finance function at corporations, let it be large multinational organizations or small and medium businesses (SME). Besides the cost analysis, the benefit analysis is also an essential component of economic calculations and decisions. Due to complicated profit calculations and estimation methods, the benefit of IT investments is less easily forecast and hence less frequently calculated than their costs. This study focuses on a special innovative type of IT investments, the gamified extensions of business software. Gamification, which refers to the use of game design elements in a non-gaming context, can expect big development in the field of business applications in the near future. Gamification features of business software generally enhance user experience, enabling people to do otherwise boring tasks. In the following we attempt to propose a sophisticated benefit evaluation model based on the hedonic wage model (HWM) and technology acceptance model (TAM) for this special type of IT projects.

Open Access: Yes

DOI: DOI not available