Annals of Computer Science and Intelligence Systems, Volume 40
Position Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)
978-83-969601-0-8 (USB)
Preface
Dear Reader, it is our pleasure to present to you Position Papers of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS 2024), which took place on September 8-11, 2024, in Belgrade, Serbia.
Position papers comprise two categories of contributions – challenge papers and emerging research papers. Challenge papers propose and describe research challenges in theory, or practice, of computer science and intelligence systems. Papers in this category are based on deep understanding of existing research or industrial problems. Based on such understanding and experience, they define new exciting research directions and show why these directions are crucial to the society at large. Emerging research papers present preliminary research results from work-in-progress, based on sound scientific approach but presenting work not completely validated as yet. They describe precisely the research problem and its rationale. They also define the intended future work including the expected benefits from solution to the tackled problem. Subsequently, they may be more conceptual than experimental.
FedCSIS 2024 was chaired by Ivan Lukovic, while Dragana Makajić-Nikolić was the Chair of the Organizing Committee. This year, FedCSIS was organized by the Polish Information Processing Society (Mazovia Chapter), IEEE Poland Section Computer Society Chapter, Systems Research Institute of Polish Academy of Sciences, The Faculty of Mathematics and Information Science Warsaw University of Technology, The Faculty of Electrical and Computer Engineering of the Rzeszów University of Technology, and The Faculty of Organizational Science of the University of Belgrade.
FedCSIS 2024 was technically co-sponsored by IEEE Poland Section, IEEE Serbia and Montenegro Section, Poland Section of IEEE Computer Society Chapter, Czechoslovakia Section of IEEE Computer Society Chapter, Serbia and Montenegro Section of IEEE Computer Society Chapter, Poland Section of IEEE Systems, Man, and Cybernetics Society Chapter, Poland Section of IEEE Computational Intelligence Society Chapter, Serbia and Montenegro Section of IEEE Computational Intelligence Society Chapter, Serbia and Montenegro Section of IEEE Education Society Chapter, Serbia and Montenegro Section of IEEE Young Professionals Affinity Group, Committee of Computer Science of Polish Academy of Sciences, Informatics Association of Serbia, and Mazovia Cluster ICT.
FedCSIS 2024 was organized in collaboration with the Strategic Partner: QED Software, and sponsored by the Ministry of Science, Technological Development and Innovation, Republic of Serbia, Banca Intesa, Nelt Group, Netconomy, Elsevier, Journal of Computer Languages, OnlyOffice, Ascensio Systems d.o.o., Beograd, MDPI and Yettel Bank.
During FedCSIS 2024, the following Keynote and Invited lectures were delivered:
- Frank, Ulrich, University of Duisburg-Essen, Germany, Multi-Level Language Architectures: Fostering Reuse, Integration and User Empowerment by Allowing for Additional Abstraction
- Jovanović, Jelena, University of Belgrade, Serbia, Learning analytics: Challenges and opportunities opened by AI
- Kutyniok, Gitta, Ludwig-Maximilians-Universität München, Germany, Reliable AI: Successes, Challenges, and Limitations
- Tolvanen, Juha-Pekka, Metacase, Finland, Languages for non-developers: what, how, where?
- Dujmović, Jozo, San Francisco State University, USA, Graded Logic and Professional Decision Making
FedCSIS 2024 consisted of Main Track, with five Topical Areas and Thematic Sessions. Some of Thematic Sessions have been associated with the FedCSIS conference series for many years, while some of them are relatively new. The role of the Thematic Sessions is to focus and enrich discussions on selected areas, pertinent to the general scope of the conference, i.e. intelligence systems.
Each contribution, found in this volume, was refereed by at least two referees. They are presented in alphabetic order, according to the last name of the first author. The specific Topical Area or Thematic Session that given contribution was associated with is listed in the article metadata.
Making FedCSIS 2024 happen required a dedicated effort of many people. We would like to express our warmest gratitude to the members of Senior Program Committee, Topical Area Curators, Thematic Session Organizers and to the members of FedCSIS 2024 Program Committee. In particular, we would like to thank those colleagues who have refereed the 184 submissions.
We thank the authors of the papers for their great contributions to the theory and practice of computer science and intelligence systems. We are grateful to the keynote and invited speakers, for sharing their knowledge and wisdom with the participants.
Last, but not least, we thank Ivan Lukovic and Dragana Makajić-Nikolić and the FON Team. We are very grateful for all your efforts!
We hope that you had an inspiring conference. We also hope to meet you again for the 20th Conference on Computer Science and Intelligence Systems (FedCSIS 2025) which will take place in Kraków, Poland, on September 14-17, 2025. We also hope that you will approve the evolution of the FedCSIS Conference concept, in the direction that properly addresses the current needs of research and applications. We want to continue looking at Computer Science from different angles but, at the same time, acknowledging the topic Intelligence Systems as the central point of everything that has to be considered.
Co-Chairs of the FedCSIS Conference Series
Marek Bolanowski, Rzeszow University of Technology, Poland.
Maria Ganzha, Warsaw University of Technology, and Systems Research Institute Polish Academy of Sciences, Poland.
Leszek Maciaszek (Honorary Chair), Macquarie University, Australia and Wrocław University of Economics, Poland.
Marcin Paprzycki, Systems Research Institute Polish Academy of Sciences, and Warsaw University of Management, Poland.
Dominik Ślęzak, University of Warsaw, Poland and QED Software, Poland, and DeepSeas, USA.
Position Papers
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Analysis of end-to-end test automation tools based on the examples of Selenium WebDriver and Playwright
3747 end-to-end test, Selenium WebDriver, Playwright Beata Bylina, Agnieszka Antończak, pages 1–8. ISM -
No Train, No Pain? Assessing the Ability of LLMs for Text Classification with no Finetuning
9098 Artificial Intelligence, Large Language Models, Prompt Engineering, Text Classification, Job Postings Richard Fechner, Jens Dörpinghaus, pages 9–16. AAIA -
Transforming Attribute-Based Encryption schemes into Asymmetric Searchable Encryption schemes
3018 Attribute-Based Encryption, Searchable Encryption, Ciphertext-Policy Attribute-Based Encryption, Key-Policy Attribute-Based Encryption Elisa Giurgea, pages 17–24. CSS -
Relative performance of Neural Networks and Binary Logistic Regression in a Variable Selection framework
8304 Binary logistic regression, Neural network multilayer perceptron, Selection of variables, Prediction Castro Gbêmêmali Hounmenou, Emile Codjo Agbangba, Génevieve Amagbégnon, Reine Marie Ndéla Marone, pages 25–32. DSH -
Towards the actual deployment of robust, adaptable, and maintainable AI models for sustainable agriculture
2991 Sustainable Agriculture, Artificial Intelligence, Deep Learning, Crowd-sensing, Citizen science Giacomo Ignesti, Davide Moroni, Massimo Martinelli, pages 33–39. AgriAI -
The Synergy of Interpolative Boolean Algebra and Ordinal Sums of Conjunctive and Disjunctive Functions in Stock Price Trend Prediction
7887 Interpolative Boolean Algebra, Ordinal Sums of Conjunctive and Disjunctive Functions, Price Trend Forecasting, S&P 500. Pavle Milošević, Aleksandar Rakićević, Milica Zukanović, Miroslav Hudec, Nina Barčáková, Eva Rakovská pages 41–48. AAIA -
Applications of new q-rung orthopair fuzzy rough distance measures in pattern recognition and disease diagnosis problems
3026 q-rung orthopair fuzzy rough set, distance measure, pattern recognition, medical diagnosis Dragan Pamucar, Arunodaya Raj Mishra, Pratibha Rani, pages 49–54. RSTA -
Optimal Charge Scheduling and Navigation for Multiple EV Using Deep Reinforcement Learning and Whale Optimization
905 Electric Vehicles, Charge Scheduling, Particle Swarm Optimization, Whale Optimization Algorithm, Deep Reinforcement Learning Aby N Raj, Sakthivel K, pages 55–60. AAIA -
Conceptional Framework for the Objective Work-Related Quality of Life Measurement Through Multimodal Data Integration from Wearables and Digital Interaction
9093 job satisfaction, machine learning, Occupational Health, valence, sensors, multimodal data integration, Organizational studies-Behavior Jenny Voigt, Jakob Hohn, Ekaterina Mut, Celine Schreiber, Sophia Mareike Geisler, Pauline Sophia Pinta, Alisa Hamm, Hamlet Kosakyan, Juliette-Michelle Burkhardt, Christian Hrach, Ulf-Dietrich Braumann, Franziska Stutzer, Hubert Österle, Bogdan Franczyk, Carsta Militzer-Horstmann, pages 61–68. DSH -
A generic method of pose generation in molecular docking via quadratic unconstrained binary optimization
3588 molecular docking, quadratic unconstrained binary optimization, pose generation, structure-based drug design Pei-Kun Yang, Jung-Hsin Lin, pages 69–71. CO -
Resource efficient Internet-of-Things intrusion detection with spiking neural networks
8800 spiking neural networks, artificial intelligence, intrusion detection system, internet of things Miloš Živadinović, Dejan Simić, pages 73–78. AAIA -
QEDrants—Data Quality Quadrants for Business Users and Decision-Makers
0005 Data Quality, Data Integrity, Data Coverage, AI Readiness, Data Management, Decision Support, Cost Optimization Alina Powała, Dominik Ślęzak, pages 79–88. ITBS
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