Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS)

Dear Reader, it is our pleasure to present to you Proceedings of the 19th Conference on Computer Science and Intelligence Systems (FedCSIS 2024), which took place on September 8-11, 2024, in Belgrade, Serbia.

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. This year, we continued adjusting the structure of the conference. Starting from 2024, FedCSIS conferences have a single Main Track with 5 Topical Areas, Thematic Sessions and, possibly, Competitions. The slightly adjusted structure emphasizes the integrity of the conference and its closeness to the issues that are crucial for the world today. Here, we recognize the fact that, over the last few years, rapid progress of various forms of computational intelligence could have been observed. As the result, broadly understood, intelligence which was a separate research area became part of other areas that, previously, were explored independently. As a matter of fact, today (in 2024) it is difficult to envision research (and its applications) without an intelligence component. Reflecting this, all five Topical Areas, established within the FedCSIS Main Track, while being situated within a general domain of Computer Science, represent various aspects of Intelligence Systems. Moreover, the Thematic Sessions provide focal insights into selected areas Intelligence Systems, approached from different perspectives. Even the Data Mining Competition, having strong roots in artificial intelligence, data science and machine learning, can be seen as a path toward introducing more intelligence into real-world anchored computer systems. This vision has been depicted in Figure 1.

In this context, these Proceedings consist of six parts. Part 1 contains Invited Contributions. Part 2 collects Main Track full contributions (arranged alphabetically, according to the last name of the first author, with the Topical Area represented in the metadata). Part 3 contains Main Track short contributions (again, arranged alphabetically, with the Topical Area represented in the metadata). Part 4 contains full contributions, originating from the Thematic Sessions (again, arranged alphabetically, according to the last name of the first author, with the name of the Thematic Session stated in the metadata.) Part 5 collects short papers from all Thematic Sessions. Finally, Part 6 is devoted to contributions originating from the Data Mining Competition.

Keeping this in mind, let us now introduce Keynote Speakers, the remaining Invited Contributions, and the five Topical Areas of the FedCSIS 2024 Main Track.

I. Invited Contributions

FedCSIS 2024 invited four keynote speakers to deliver lectures providing a broader context for the conference participants. Moreover, two past FedCSIS keynote speakers have been invited to prepare contributions, which refer to the core focus of the conference series. There are also two contributions originating from special invited talks. The following Keynote and Invited presentations have been delivered:

• Frank, Ulrich, University of Duisburg-Essen, Germany, keynote title: Multi-Level Language Architectures: Fostering Reuse, Integration and User Empowerment by Allowing for Additional Abstraction

• Jovanović, Jelena, University of Belgrade, Serbia, keynote title: Learning analytics: Challenges and opportunities opened by AI

• Kutyniok, Gitta, Ludwig-Maximilians-Universität München, Germany, keynote title: Reliable AI: Successes, Challenges, and Limitations

• Tolvanen, Juha-Pekka, Metacase, Finland, keynote title: Languages for non-developers: what, how, where?

• Dujmović, Jozo, San Francisco State University, USA, invited presentation title: Graded Logic and Professional Decision Making

II. Advanced Artificial Intelligence in Applications

This Topical Area covers a wide range of core aspects of AI. Nowadays, AI is usually perceived as closely related to the data, therefore, the scope of this Topical Area includes, among others, elements of machine learning, data science, and big data processing, with important emerging aspects such as interactive learning and human-centered AI, as well as interpretable learning, explainable AI, and trustworthiness. Furthermore, since the realm of AI is far richer, the ultimate goal of this Topical Area is to show relationships between all of, currently pursued AI subareas, emphasizing a cross-disciplinary nature of various research branches. In 2024, the collection of papers accepted to this Topical Area has clearly reflected this cross-disciplinary nature particularly well. We can see here various areas of AI (also outside so-called “core AI”), as well as a mix of theoretical and practical contributions. From the perspective of the general scope of FedCSIS, this Topical Area embraces AI methods and examples of their applications in different practical fields. This Topical Area was curated by:

• Corizzo, Roberto, American University, USA

• Sosnowski, Łukasz, Systems Research Institute of Polish Academy of Sciences, Poland

• Szczuka, Marcin, University of Warsaw, Poland

• Zdravevski, Eftim, Ss. Cyril and Methodius University, Macedonia

III. Computer Science & Systems

This Topical Area aims at integrating and creating synergy between Computer Science and related disciplines, with Intelligence being of the core interest. The area’s scope spans themes ranging from hardware issues close to computer engineering via software issues tackled by the theory and applications of Computer Science. When compared to the previously discussed Topical Area on “Advanced Artificial Intelligence in Applications”, herein we are interested more in software system realizations and computational aspects. Therefore, we take a step from AI regarded as the set of methods, towards Intelligence Systems, understood as software systems with the elements of AI. This Topical Area was curated by:

• Casalino, Gabriella, University of Bari "Aldo Moro", Italy

• Ducange, Pietro, University of Pisa, Italy

• Pawłowski, Wiesław, University of Gdańsk, Poland

• Wasielewska-Michniewska, Katarzyna, Systems Research Institute of Polish Academy of Sciences, Poland

IV. Network Systems & Applications

Modern network systems encompass a wide range of solutions and technologies, including wireless and wired networks, network systems, services, and applications. On the one hand, network technologies are used in the majority of areas that make human life easier and more comfortable. On the other hand, the rapid need for network deployment brings new challenges in network management and network design, which are reflected in hardware, software, services, and security-related problems. Going back to the main scope of FedCSIS, it is obvious that network solutions are one of the crucial layers of scalable modern software systems, including Intelligence Systems. On the other hand, equally obviously, AI methods can be useful to make network systems and their applications more efficient. Accordingly, the aim of this Topical Area is to bring more Intelligence into all aspects of network systems. Moreover, besides network systems, one should think also about network models, network algorithms, etc. Therefore, this Topical Area covers not only the technological side, but also the societal and social impacts of network developments.

This Topical Area was curated by:

• Armando, Alessandro, University of Genova, Italy

• Awad, Ali Ismail, United Arab Emirates University, United Arab Emirates

• Furtak, Janusz, Military University of Technology, Poland

• Hodoň, Michal, University of Žilina, Slovakia

• Suri, Niranjan, Institute of Human and Machine Cognition, United States

V. Information Technology for Business & Society

The aim of this Topical Area is to integrate and create synergy between disciplines of information technology (IT), Intelligence Systems, and social sciences. Collected contributions address issues relevant to IT and necessary for practical, everyday needs of business, other organizations, and society at large. Moreover, they take a socio-technical view on Intelligence Systems and, at the same time, relate to ethical, social and political issues that they raise. Thus, from the viewpoint of the FedCSIS as a whole, this Topical Area goes beyond Computer Science itself. It refers to the fact that every software system or solution, and especially a system or solution with some flavors of Intelligence, needs to be carefully deployed in real life. In other words, it is not only about machines – it is also about humans. Accordingly, this Topical Area embraces research on methods and processes of adoption of AI and Intelligence Systems in society and specific markets of business applications. This Topical Area was curated by:

• Cano, Alberto, Virginia Commonwealth University, Richmond, United States

• Dias, Gonçalo, University of Aveiro, Portugal

• Miller, Gloria, Maxmetrics, Germany

• Naldi, Maurizio, LUMSA University, Italy

• Wątróbski, Jarosław, University of Szczecin, Poland

• Ziemba, Ewa, University of Economics in Katowice, Poland

VI. Software, System & Service Engineering

For decades, an open question in the software industry remains, how to provide fast and effective software process and software services, and how realize software systems, embedded systems, autonomous systems, or cyber-physical systems that will address the open issue of supporting information management process in various, particularly complex organization systems. Even more, it is a hot issue how to provide a synergy between systems in common, and software services as a mandatory component of each modern organization, particularly in terms of IoT, Big Data, and Industry 4.0 paradigms. Therefore, the main goal of this Topical Area is to address open questions and real potentials for various applications of modern approaches and technologies to develop and implement effective software services in a support of information management and system engineering. One can see, here, a clear linkage to AI and Intelligence Systems as well.

This Topical Area was curated by:

• Kolukısa Tarhan, Ayça, Hacettepe University, Turkey

• Mernik, Marjan, University of Maribor, Slovenia

• Popović, Aleksandar, University of Montenegro, Podgorica, Montenegro

VII. Data Mining Competition

FedCSIS 2024 Data Mining Competition was devoted to: Predicting Stock Trends and was the 10th data science challenge, organized within the scope of the FedCSIS conference series. In this anniversary edition, the task was related to financial data - participants were asked to predict the performance of investments in selected stocks, from several industry sectors. The competition was sponsored by Yettel.Bank and the FedCSIS conference.

The 2024 competition was organized by:

• Aleksandar M. Rakićević, University of Belgrade

• Pavle D. Milošević, University of Belgrade

• Ivana T. Dragović, University of Belgrade

• Ana M. Poledica, University of Belgrade

• Milica M. Zukanović, University of Belgrade

• Ivan S. Luković, University of Belgrade

• Andrzej Janusz, Queensland University of Technology and QED Software

• Dominik Ślęzak, QED Software and University of Warsaw

This year, 194 teams comprising of 259 individuals registered for the competition, making it one of the most popular competitions in the history of the FedCSIS conference series. By the end of the competition, 77 enrolled teams were deemed active. Their members represented 28 different countries from around the world, with the highest representation from Germany (58), Poland (50), Italy (41), Turkey (24), and Serbia (18). There were 3,000 submitted solutions in total. Out of these, on the final day of the competition, over 250 solutions have been submitted. After evaluation, the following contributions, found in these proceedings, discuss the winning contributions:

First place: Carlos Huertas, Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning

Second place: Quang Hieu Vu, Dymitr Ruta, Ling Cen and Ming Liu, FedCSIS 2024 Data Science Challenge: Predicting Stock Trends by a Multi-Dimensional Approach

Third place: Chang Lin, Key Financial Indicators Analysis and Stock Trend Forecasting Based on a Wrapper Feature Selection Method

Special award for the most practically applicable solution: Marcin Traskowski and Eyad Kannout, Forecasting Stock Trends with Feedforward Neural Networks

VIII. Zdzisław Pawlak Awards

The above-described five Topical Areas of the FedCSIS Main Track reflect five fundamental aspects of understanding, developing, and applying Intelligence Systems. This topical integrity is emphasized by the Professor Zdzisław Pawlak award, considered in four categories: Best Paper, Young Researcher, Industry Cooperation, and International Cooperation. Although Professor Zdzisław Pawlak has been often recognized as “the father of Polish AI”, his research achievements have gone far beyond AI itself, in particular toward AI applications and Intelligence Systems as we mean them. Accordingly, for this award contributions from the Main Track and from all Thematic Sessions are considered. This year, the following contributions have been awarded:

• In the category Best Paper: Rytis Maskeliunas and Robertas Damasevicius, “d'Alembert Convolution for Enhanced Spatio-Temporal Analysis of Forest Ecosystems”

• In the category Young Researcher: Alexander Kammeyer, Florian Burger, Daniel Lübbert and Katinka Wolter, “HPC operation with time-dependent cluster-wide power capping”

• In the category Industry Cooperation: Guillaume Hutzler, Hanna Klaudel, Witold Klaudel, Franck Pommereau and Artur Rataj, “An autonomous vehicle in a connected environment: case study of cyber-resilience”

• In the category International Cooperation Award: Alexander Fischer, Juha-Pekka Tolvanen and Ramin Tavakoli Kolagari, “Automotive Cybersecurity Engineering with Modeling Support” Young Researcher Award and International Cooperation Award were sponsored by MDPI, while the remaining awards were sponsored by Mazovia Branch of Polish Information Processing Society.

IX. Statistics

Each contribution, found in this volume, was refereed by at least two referees and the acceptance rate of regular full papers was approximately 20% (37 accepted contributions, out of 184 submissions). Here, the long-term the trend is depicted in Figure 2.

X. Committees The Senior Program Committee of FedCSIS 2024 consisted of:

• van der Aalst, Wil, RWTH Aachen University, Germany

• Alba, Enrique, University of Málaga, Spain

• Aiello, Marco, University of Stuttgart, Germany

• Armando, Alessandro, University of Genova, Italy

• Atiquzzaman, Mohammed, University of Oklahoma, USA

• Awad, Ali Ismail, United Arab Emirates University, United Arab Emirates

• Blum, Christian, Artificial Intelligence Research Institute (IIIA-CSIC), Spain

• Bosch, Jan, Chalmers University of Technology, Sweden

• Boustras, George, European University, Cyprus

• Bryant, Barrett, University of North Texas, USA

• Buyya, Rajkumar, University of Melbourne, Australia

• Cano, Alberto, Virginia Commonwealth University, United States

• Casalino, Gabriella, University of Bari "Aldo Moro", Italy

• Corizzo, Roberto, American University, USA

• Cornelis, Chris, Ghent University, Belgium

• Dias, Gonçalo, University of Aveiro, Portugal

• Djidjev, Hristo, Los Alamos National Laboratory, USA and Institute of Information and Communication Technologies, Bulgaria

• Ducange, Pietro, University of Pisa, Italy

• Duch, Włodzisław, Nicolaus Copernicus University, Poland

• Fill, Hans-George, University of Fribourg, Switzerland

• Fred, Ana, Instituto Superior Técnico (IST—Technical University of Lisbon), Portugal

• Furtak, Janusz, Military University of Technology, Poland

• Giancarlo Guizzardi, Free University of Bolzano-Bozen, Italy

• Herrera, Francisco, University of Granada, Spain

• Hinchey, Mike, Lero, University of Limerick, Ireland

• Hodoň, Michal, University of Žilina, Slovakia

• Kacprzyk, Janusz, Systems Research Institute, Polish Academy of Sciences, Poland

• King, Irwin, The Chinese University of Hong Kong, China

• Kolukısa Tarhan, Ayça, Hacettepe University, Turkey

• Komorowski, Jan, Uppsala University, Sweden

• Kwaśnicka, Halina, Wrocław University of Science and Technology, Poland

• Luck, Michael, University of Sussex, United Kingdom

• Mernik, Marjan, University of Maribor, Slovenia

• Michalewicz, Zbigniew, University of Adelaide, Australia

• Miller, Gloria, maxmetrics, Germany

• Naldi, Maurizio, LUMSA University, Italy

• Pawłowski, Wiesław, University of Gdańsk and Systems Research Institute, Polish Academy of Sciences, Poland

• Pedrycz, Witold, University of Alberta, Canada

• Popović, Aleksandar, University of Montenegro, Montenegro

• Raś, Zbigniew, University of North Carolina, United States

• Segal, Michael, Ben-Gurion University of the Negev, Israel

• Skowron, Andrzej, Systems Research Institute, Polish Academy of Sciences, Poland

• Słowiński, Roman, Poznań University of Technology, Poland

• Sosnowski, Łukasz, Systems Research Institute, Polish Academy of Sciences, Poland

• Sowa, John F., VivoMind Research, LLC, USA

• Spanoudakis George, University of London, United Kingdom

• Suri, Niranjan, Institute of Human and Machine Cognition, United States

• Szczuka, Marcin, University of Warsaw, Poland

• Wasielewska-Michniewska, Katarzyna, Systems Research Institute, Polish Academy of Sciences, Poland

• Wątróbski, Jarosław, University of Szczecin, Poland

• Zdravevski, Eftim, Ss. Cyril and Methodius University, Macedonia

• Ziemba, Ewa, University of Econmics in Katowice, Poland

The FedCSIS 2024 Program Committee consisted of:

• Abbas Musarat, Quaid-i-Azam University, Pakistan

• Adam Emmanuel, Université Polytechnique Hauts-de-France, France

• Adil Muhammad, ISMAR-CNR, Italy

• Ahmad Muhammad Ovais, Karlstad University, Sweden

• Ahmad Bilal, University of Warwick, United Kingdom

• Al-Naday Mays, University of Essex, United Kingdom

• Ameer Hamza Muhammad, COMSATS University Islamabad, Pakistan

• Anastassi Zacharias, ASPETE School of Pedagogical and Technological Education, Greece

• Arabas Jaroslaw, Warsaw University of Technology, Poland

• Arruda Filho Emílio José, FUMEC, Brasil

• Arshi Oroos, UPES, India

• Atanassov Krassimir, Bulgarian Academy of Sciences, Bulgaria

• Atasever Mesut, Uşak University, Turkey

• Azad Mohammad, Jouf University, Saudi Arabia

• Bacco Manlio, Institute of Information Science and Technologies, National Research Council, Italy

• Bachan Jolanta, Adam Mickiewicz University, Poland

• Badica Costin, University of Craiova, Romania

• Badica Amelia, University of Craiova, Romania

• Badr Georges, Holy Spirit University of Kaslik, Lebanon

• Balazs Krisztian, Budapest University of Technology and Economics, Hungary

• Baldán Lozano Francisco Javier, University of Granada, Spain

• Ballas Rüdiger G., Mobile University of Technology, Germany

• Banach Richard, University of Manchester, United Kingdom

• Barata José, Universidade Nova de Lisboa, Portugal

• Barbosa Joao, INESC-TEC, Portugal

• Barisic Ankica, Université Côte d'Azur, France

• Batalla Jordi Mongay, National Institute of Technology, Poland

• Belciug Smaranda, University of Craiova, Romania

• Bellinger Colin, National Research Council of Canada, Canada

• Ben-Assuli Ofir, Ono Academic College, Israel

• Białas Andrzej, Institute of Innovative Technologies EMAG, Poland

• Bicevskis Janis, University of Latvia, Latvia

• Binnewitt Johanna, BIBB, and University of Cologne, Germany

• Bjeladinovic Srdja, University of Belgrade, Serbia

• Blachnik Marcin, Silesian University of Technology, Poland

• Blasband Darius, RainCode, Belgium

• Bodyanskiy Yevgeniy, Kharkiv National University of Radio Electronics, NURE, Ukraine

• Boffa Stefania, University of Milano-Bicocca, Italy

• Borkowski Boleslaw, Warsaw University of Life Sciences, Poland

• Braumann Ulf-Dietrich, InfAI, Germany

• Brdjanin Drazen, University of Banja Luka, Bosnia & Herzegovina

• Brezovan Marius, University of Craiova, Romania

• Bridova Ivana, University of Zilina, Slovakia

• Bronselaer Antoon, Ghent University, Belgium

• Brzoza-Zajęcka Ada, AGH University of Science and Technology, Poland

• Burczynski Tadeusz, Polish Academy of Sciences, Poland

• Byrski Aleksander, AGH University Science and Technology, Poland

• Cabri Giacomo, Università di Modena e Reggio Emilia, Italy

• Calpe Maravilla Javier, Universitat de Valencia, Spain

• Carbone Roberto, FBK, Italy

• Carchiolo Vincenza, Universita di Catania, Italy

• Cardoso Henrique Lopes, University of Porto, Portugal

• Castrillon-Santana Modesto, University of Las Palmas de Gran Canaria, Spain

• Cattaneo Gianpiero, University of Milano-Bicocca, Italy

• Ceci Michelangelo, University of Bari "A. Moro", Italy

• Celikovic Milan, University of Novi Sad, Serbia

• Cen Ling, Khalifa University, United Arab Emirates

• Challenger Moharram, Antwerp University, Belgium

• Chang Lin, Beijing University of Posts and Telecommunications, China

• Charytanowicz Malgorzata, Catholic University of Lublin, Poland

• Chen Haiming, Chinese Academy of Sciences, China

• Cherukuri Aswani Kumar, VIT University, India

• Chomiak-Orsa Iwona, Wroclaw University of Economics and Business, Poland

• Christozov Dimitar, American University in Bulgaria, Bulgaria

• Chudan David, Prague University of Economics and Business, Czech Republic

• Clarke Nathan, University of Plymouth, United Kingdom

• Clausberg Philipp, WIG2 Institute, Germany

• Colantonio Sara, ISTI-CNR, Italy

• Corpetti Thomas, University of Rennes, France

• Courty Nicolas, University of Bretagne Sud, France

• Coviello Giuseppe, Politecnico di Bari, Italy

• Culibrk Dubravko, Uniersity of Novi Sad, Serbia

• Cybulski Piotr, Military University of Technology, Poland

• Czarnacka-Chrobot Beata, Warsaw School of Economics, Poland

• Damasevicius Robertas, Silesian University of Technology, Poland

• Daszczuk Wiktor, Warsaw University of Technology, Poland

• De Juana-Espinosa Susana, Universidad de Alicante, Spain

• De Marinis Pasquale, UNIBA, Italy

• De Tre Guy, Ghent University, Belgium

• Dettmer Sandra, Swansea University, United Kingdom

• Dey Lipika, Tata Consulting Services, India

• Diaw Samba, LIMBI, Senegal

• Dimitrieski Vladimir, Faculty of Technical Sciences, Serbia

• Djordjevic Vuk, Institute of Field and Vegetable Crops, Serbia

• Domanska Joanna, Institute of Theoretical and Applied Informatics, Poland

• Dragovic Ivana, University of Belgrade, Serbia

• Drezewski Rafal, AGH University of Science and Technology, Poland

• Dudycz Helena, Wroclaw University of Economics, Poland

• Dutta Arpita, National University of Singapore, Singapore

• Dutta Soma, University of Warmia and Mazury in Olsztyn, Poland

• Eisenbardt Monika, Univeristy of Economics Katowice, Poland

• El-Halim Essam H. Houssein, Minia University, Egypt

• Engelbrecht Andries, University of Stellenbosch, South Africa

• Erata Ferhat, Yale University, USA

• Erol Barkana Duygun, Yeditepe University, Turkey

• Erradi Mohammed, Mohammed-V Souissi University, ENSIAS (Ecole Nationale Superieure d'Informatique et d'Analyse des Systemes), Morocco

• Escalona M.J., University of Seville, Spain

• Esposito Massimo, ICAR-CNR, Italy

• Fareh Messaouda, University Blida 1, Algeria

• Farooq Ali, University of Turku, Finland

• Fechner Richard, EKU Tübingen, Germany

• Felkner Anna, NASK - Research and Academic Computer Network, Poland

• Fertalj Krešimir, University of Zagreb, Croatia

• Fialko Sergiy, Cracow University of Technology, Poland

• Filipe Vítor, INESC TEC / UTAD, Portugal

• Fissaa Tarik, Institut National des Postes et Télécommunications, Morocco

• Fonseca Jose Manuel, UNINOVA, Portugal

• Fournier-Viger Philippe, University of Moncton, Canada

• Fuchs Christoph, University of Bonn, Germany

• Fuentes Alvaro, Jeonbuk National University, South Korea

• G. Barbosa Jorge, University of Porto, Portugal

• G.-Tóth Boglárka, University of Szeged, Hungary

• Gabryelczyk Renata, University of Warsaw, Poland

• Ganea Eugen, University of Craiova, Romania

• García-Mireles Gabriel, Universidad de Sonora, Mexico

• Gawkowski Piotr, Warsaw University of Technology, Poland

• Gburzyński Paweł, University of Alberta, Canada; Vistula University, Poland

• Gepner Paweł, Warsaw University of Technology, Poland

• Geri Nitza, The Open University of Israel, Israel

• Getz Laura, Bundesinstitut für Berufsbildung, Germany

• Gheisari Mehdi, Islamic Azad University, Iran

• Giraddi Shantala, BVBCET, India

• Gjoreski Hristijan, Ss. Cyril and Methodius University in Skopje, North Macedonia

• Göknil Arda, SINTEF Digital, Norway

• Gomolińska Anna, University of Białystok, Poland

• Góźdź Marek, UMCS, Poland

• Grabara Dariusz, University of Economics in Katowice, Poland

• Grabowski Mariusz, Cracow University of Economics, Poland

• Gravvanis George, Democritus University of Thrace, Greece

• Grochla Krzysztof, Institute of Theoretical and Applied Informatics of PAS, Poland

• Grzegorowski Marek, Warsaw University, Poland

• Gücük Gian-Luca, University of Hamburg, Germany

• Haerting Ralf, Hochschule Aalen, Germany

• Hakius Bettina, BTA Wiedenest, Germany

• Halawi Leila, Embry-Riddle Aeronautical University, USA

• Hamel Oussama, University Blida 1, Algeria

• Hasso Hussein, Fraunhofer FKIE, Wachtberg, Germany

• Heidler Tobias, WIG2 Institute, Germany

• Hein Kristine, BIBB, Bonn, Germany

• Helsingius Mika, Finnish Defence Research Agency, Finland

• Henry Christopher, University of Winnipeg, Canada

• Hernes Marcin, Wroclaw University of Economics and Business, Poland

• Horváth Zoltán, Eötvös Loránd University, Hungary

• Hosobe Hiroshi, Hosei University, Japan

• Hrach Christian, InfAI, Germany

• Hu Bao-Gang, Institute of Automation, Chinese Academy of Sciences, China

• Hübenthal Tobias, University of Cologne, Germany

• Hullam Gabor, Budapest University of Technology and Economics, Hungary

• Hussain Shahid, Institute of Business Administration, Pakistan

• Hussain Asad, University of Bergamo, Italy

• Lenco Dino, IRSTEA, France

• Ignaciuk Przemyslaw, Łódź University of Technology, Poland

• Iqbal Naeem, German Research Center for Artificial Intelligence, Germany

• Islam Taminul, Southern Illinois University Carbondale, USA

• Ivanovic Mirjana, University of Novi Sad, Serbia

• Jakovljević Nikša, University of Novi Sad, Serbia

• Janicki Ryszard, McMaster University, Canada

• Janicki Artur, Warsaw University of Technology, Poland

• Jarzebowicz Aleksander, Gdansk University of Technology, Poland

• Jha Khushboo, Birla Institute of Technology, India

• John Niels, WIG2 Institute, Germany

• Johnsen Frank, Norwegian Defence Research Establishment, Norway

• Jovancevic Igor, University of Montenegro, Montenegro

• Jovanovik Milos, Ss. Cyril and Methodius University in Skopje, North Macedonia

• Kaczmarek Katarzyna, University of Strathclyde, United Kingdom

• Kaloyanova Kalinka, University of Sofia, Bulgaria

• Kanciak Krzysztof, Military University of Technology, Poland

• Kania Krzysztof, University of Economics in Katowice, Poland

• Kapczyński Adrian, Silesian University of Technology, Poland

• Karnouskos Stamatis, SAP, Germany

• Kasprzak Włodzimierz, Politechnika Warszawska, Poland

• Keir Paul, University of the West of Scotland, Scotland

• Kelner Jan, Military University of Technology, Poland

• Keswani Bright, Suresh Gyan Vihar University, Jaipur, India

• Kieran Judith, CARR Communications, Ireland

• Kisacanin Branislav, University of Novi Sad, Serbia

• Klapp Iftach, Agriculture research Organization - Volcani Institute, Israel

• Kliegr Tomas, Prague University of Economics and Business, Czech Republic

• Kluza Krzysztof, AGH University of Science and Technology, Poland

• Kobayashi Haruo, Gunma University, Japan

• Kobylinski Andrzej, Warsaw School of Economics, Poland

• Koczy Laszlo T., Budapest University of Technology and Economics, Hungary

• Kokosinski Zbigniew, Cracow University of Technology, Poland

• Kolog Emmanuel Awuni, University of Ghana, Ghana

• Kordić Slavica, Faculty of Technical Sciences, Serbia

• Kosar Tomaz, University of Maribor, Slovenia

• Kosmopoulos Dimitrios, University of Patras, Greece

• Kovatcheva Eugenia, University of Library Studies and Information Technologies, Bulgaria

• Kozak Jan, University of Economics in Katowice, Poland

• Kozielski Stanislaw, Silesian University of Technology, Poland

• Kozłowski Artur, Łukasiewicz Research Network, Poland

• Krajsic Philippe, Center for Scalable Data Analytics and Artificial Intelligence, Germany

• Krawczyk Henryk, Gdańsk University of Technology, Poland

• Krawiec Krzysztof, Poznań University of Technology, Poland

• Krdzavac Nenad, Leibniz Information Centre for Science and Technology, Germany

• Krdzavac Nenad, Leibniz Information Centre for Science and Technology, Germany

• Krüger Kai, German Federal Institute for Vocational Education and Training, Germany

• Kryvyi Serhii, Taras Shevchenko National University of Kyiv, Ukraine

• Kuchanskyy Vladislav, National Academy of Sciences in Ukraine, Ukraine

• Kulakov Andrea, University "Ss. Cyril and Methodius", North Macedonia

• Kulczycki Piotr, Systems Research Institute, Polish Academy of Sciences, Poland

• Kurasova Olga, Institute of Mathematics and Informatics, Bulgaria

• Kusy Maciej, Rzeszow University of Technology, Poland

• Kwasnicka Halina, Wroclaw University of Technology, Poland

• Kwater Tadeusz, PWSTE Jaroslaw, Poland

• Kwolek Bogdan, AGH University of Science and Technology, Poland

• Laccetti Giuliano, University of Naples Federico II and INFN, Italy

• Laghouaouta Youness, INPT, Marocco

• Lakhassane Cissé Mamadou, LIMBI, Senegal

• Lameski Petre, University "Ss.Cyril and Methodius", North Macedonia

• Lasek Piotr, University of Rzeszów, Poland

• Laskov Lasko, New Bulgarian University, Bulgaria

• Lastovetsky Alexey, University College Dublin, Ireland

• Leible Stephan, University of Hamburg, Germany

• Leitao Paulo, Polytechnic Institute of Bragança, Portugal

• Lerga Jonatan, University of Rijeka, Croatia

• Lewandowski Tom, Wrocław University of Science and Technology, Poland

• Ligęza Antoni, AGH University of Science and Technology, Poland

• Lilik Ferenc, Szechenyi Istvan University, Hungary

• Lin Zhe, Xiamen University, China

• Ljubić Sandi, University of Rijeka, Faculty of Engineering, Croatia

• Lmati Imane, Faculté Ben Msik, Morocco

• Lobato Fábio, UFOPA, Brasil

• Lovassy Rita, Obuda University, Hungary

• Luque Gabriel, University of Málaga, Spain

• Luszczek Piotr, University of Tennessee, USA

• Machado José, University of Minho, Portugal

• Maćoš Dragan, Beuth Hochschule für Technik, Germany

• Majdik András, HUN-REN SZTAKI - Hungarian Research Network, Hungary

• Malecki Piotr, Institute of Nuclear Physics PAN, Poland

• Mangioni Giuseppe, University of Catania, Italy

• Manso Marco, PARTICLE LTD., Portugal

• Mansurova Madina, al-Farabi Kazakh National University, Kazakhstan

• Marciniak Jacek, Adam Mickiewicz University, Poland

• Marcinkowski Bartosz, University of Gdansk, Poland

• Marcińczuk Michał, Samurai Labs, Poland

• Marghitu Daniela, Auburn University, USA

• Marko Oskar, BioSense Institute, Serbia

• Marowka Ami, Parallel Research Labs, Israel

• Martínez López Pablo E., Universidad Nacional de Quilmes, Argentina

• Masud Mohammad, College of Information Technology, United Arab Emirates

• Matson Eric, Purdue University, USA

• Mazzara Manuel, Innopolis University, Serbia

• Meister Matthias, Intercultural Theological Academy, Liebenzell Mission, Germany

• Mele Valeria, University of Naples Federico II, Italy

• Melzer Sylvia, University of Hamburg, Germany

• Meneses Claudio, Universidad Católica del Norte, Chile

• Mercier-Laurent Eunika, Jean Moulin Lyon 3 University, France

• Merkel Manuel, Universität Stuttgart, Germany

• Mesiar Radko, Slovak University of Technology, Slovakia

• Messe Nan, IRIT, France

• Mhada Fatima Zahra, ENSIAS, Marocco

• Michalik Krzysztof, University of Economics, Katowice, Poland

• Micota Flavia, West University of Timisoara, Romania

• Mignone Paolo, Universita degli studi di Bari, Italy

• Mihaescu Marian Cristian, University of Craiova, Romania

• Mihajlov Martin, Jozef Stefan Institute, Slovenia

• Mihálydeák Tamás, University of Debrecen, Hungary

• Milašinović Boris, University of Zagreb, Croatia

• Mildorf Tomas, University of West Bohemia, Czech Republic

• Milella Annalisa, CNR-STIIMA, Italy

• Millham Richard, Durban University of Technology, South Africa

• Milosavljevic Gordana, Faculty of Technical Sciences, Serbia

• Ming Liu David, Khalifa University, United Arab Emirates

• Misra Sanjay, Institute For Energy Technology, Norway

• Mocanu Mihai, University of Craiova, Romania

• Modoni Gianfranco, STIIMA-CNR, Italy

• Mora Andre Damas, UNINOVA, Portugal

• Moroz Leonid, Warsaw University of Technology, Poland

• Moshkov Mikhail, KAUST, Saudi Arabia

• Motii Anas, UM6P, Morocco

• Mozgovoy Maxim, University of Aizu, Japan

• Mullins Roisin, University of Wales Trinity Saint David, United Kingdom

• Mumm Rebekka, WIG2 Institute, Germany

• Munoz Andres, Universidad de Cádiz, Spain

• Muszyńska Karolina, University of Szczecin, Poland

• Myszkowski Pawel, Wroclaw University of Science and Technology, Poland

• Nakayama Minoru, Tokyo Institute of Technology, Japan

• Narwal Bhawna, Indira Gandhi Delhi Technical University For Women, India

• Nguyen Hung Son, University of Warsaw, Poland

• Niekler Andreas, Universität Leipzig, Germany

• Niewiadomska-Szynkiewicz Ewa, Warsaw University of Technology, Poland

• Ogrodniczuk Maciej, Polish Academy of Sciences, Poland

• Okarma Krzysztof, West Pomeranian University of Technology in Szczecin, Poland

• Oliveira Eugénio, Universidade do Porto, Portugal

• Oppermann Alexander, Physikalisch-Technische Bundesanstalt, Germany

• Ota Daniel, Fraunhofer, Germany

• Ouariach Soufiane, Abdelmalek Essaadi University, Marocco

• Ozkan Necmettin, Gebze Technical University, Turkey

• Ozkaya Mert, Yeditepe University, Turkey

• Palau Carlos, Universitat Politecnica de Valencia, Spain

• Paliwoda-Pękosz Grażyna, Krakow University of Economics, Poland

• Palma Raul, Poznan Supercomputing and Networking Center, Poland

• Palmigiano Alessandra, the Vrije Universiteit Amsterdam, the Netherlands

• Paluszyński Wiesław, TIC sp. z o.o., Poland

• Pamin Jerzy, Cracow University of Technology, Poland

• Pancerz Krzysztof, The John Paul II Catholic University of Lublin, Poland

• Pandey Dr. Rajiv, Amity University, India

• Pankowska Małgorzata, University of Economics in Katowice, Poland

• Paragliola Giovanni, ICAR-CNR, Italy

• Pataricza András, Budapest University of Technology and Economics, Hungary

• Pazienza Andrea, NTT DATA Italia SpA & A3K Srl, Italy

• Peralta Daniel, Ghent University, Belgium

• Perechuda Kazimierz, Wroclaw University of Economics and Business, Poland

• Peres Ricardo, Instituto de Desenvolvimento de Novas Tecnologia, Portugal

• Petcu Dana, West University of Timisoara, Romania

• Peters Georg, Munich University of Applied Sciences & Australian Catholic University, Germany

• Petrik Milan, Institute of Computer Science (ICS), Czech Republic

• Petrovic Veljko, Faculty of Technical Sciences, Serbia

• Peukert Hagen, University of Hamburg, Germany

• Pinta Pauline Sophia, WIG2 Institute, Germany

• Pirani Massimiliano, Universita Politecnica Delle Marche, Italy

• Pires Ivan Miguel, Universidade da Beira Interior, Portugal

• Po Laura, Universitá di Modena e Reggio Emilia, Italy

• Poczekajło Paweł, Koszalin University of Technology, Poland

• Poledica Ana, University of Belgrade, Serbia

• Porta Marco, University of Pavia, Italy

• Porubän Jaroslav, Technical University of Košice, Slovakia

• Provotar Oleksandr, Taras Shevchenko National University of Kyiv, Ukraine

• Przybyła Piotr, Universitat Pompeu Fabra, Polish Academy of Sciences, Poland

• Przybyła-Kasperek Małgorzata, Uniwersytet Śląski w Katowicach, Poland

• Ptaszynski Michal, Kitami Institute of Technology, Japan

• Puime Felix, Universidade de A Coruña, Spain

• Rafay Muhammad Abdul, Hasan Murad School of Management (HSM), Pakistan

• Ramanna Sheela, University of Winnipeg, Canada

• Rauch Jan, Prague University of Economics and Business, Czech Republic

• Rechavi Amit, Ruppin Academic Center, Israel

• Reformat Marek, University of Alberta, Canada

• Reis Luis Paulo, Universidade do Porto, Portugal

• Ristic Sonja, University of Novi Sad, Serbia

• Rizvi Syed Tahir Hussain, University of Stavanger, Italy

• Rocha Ana Paula, LIACC, University of Porto, Portugal

• Rocha André, UNINOVA, Portugal

• Rollo Federica, University of Modena and Reggio Emilia, Italy

• Roose Philippe, LIUPPA, France

• Rossi Bruno, Masaryk University, Czech Republic

• Roszczyk Radosław, Warsaw University of Technology, Poland

• Rot Artur, Wroclaw University of Economics, Poland

• Rozevskis Uldis, University of Latvia, Latvia

• Rusho Yonit, Shenkar College of Engineering and Design, Israel

• Ruta Dymitr, Khalifa University, United Arab Emirates

• Sachenko Anatoly, Ternopil State Economic University, Ukraine

• Salem Abdel-Badeeh, Ain Shams University, Egypt

• Salvetti Ovidio, Institute of Information Science and Technologies, National Research Council, Italy

• Samotyy Volodymyr, Lviv State University of Life Safety, Ukraine

• Saraiva Joao, University of Minho, Portugal

• Sarwas Grzegorz, Warsaw University, Poland

• Sawerwain Marek, University of Zielona Góra, Poland

• Schaefer Gerald, Loughborough University, United Kingdom

• Schnepf Timo, Federal Institute for Vocational Education and Training , Germany

• Schreiber Celine, Leipzig University, Germany

• Schreiner Wolfgang, Johannes Kepler University Linz, Austria

• Schreurs Jeanne, Hasselt University, Belgium

• Scozzari Andrea, CNR ISTI, Italy

• Seco Luis, Universidade da Maia, Portugal

• Segedinac Milan, Faculty of Technical Scieneces, Novi Sad, Serbia

• Selic Bran, Malina Software Corp., Canada

• Sen Jayanta, Taki Government College, West Bengal, India

• Shah Syed Ihtesham Hussain, ICAR-CNR, Italy

• Sharan Bhagwati, SRM University-AP, Amaravati, India

• Shaska Tony, Oakland University, USA

• Sidje Roger B., University of Alabama, USA

• Siedlecka-Lamch Olga, Czestochowa University of Technology, Poland

• Sierra Jose Luis, Universidad Complutense de Madrid, Spain

• Sifaleras Angelo, University of Macedonia, North Macedonia

• Sikorski Marcin, Gdansk University of Technology, Poland

• Silva Lincoln, UERJ, Brazil

• Simic Dejan, Universität Hamburg, Germany

• Siminski Krzysztof, Silesian University of Technology, Poland

• Singh Pradeep, KIET Group of Institutions, India

• Singh Yashwant, Jaypee University of Information Technology Waknaghat, India

• Skórzewski Paweł, Adam Mickiewicz University, Poland

• Skubalska-Rafajłowicz Ewa, Wrocław University of Science and Technology, Poland

• Slivnik Boštjan, University of Ljubljana, Slovenia

• Smywiński-Pohl Aleksander, AGH University of Science and Technology, Poland

• Sobczak Andrzej, Warsaw School of Economics, Poland

• Sobińska Małgorzata, Wroclaw University of Economics and Business, Poland

• Solanki Vijender Kumar, CMR Institute of Technology, India

• Sorell Thomas, University of Warwick, United Kingdom

• Sousa Pinto Agostinho, CEOS.PP / ISCAP / P.PORTO, Portugal

• Sozer Hasan, Ozyegin University, Turkey

• Stanczyk Urszula, Silesian University of Technology, Poland

• Stankosky Michael, The University of Scranton, USA

• Stark Sandra, Leipzig University, Germany

• Stasolla Fabrizio, Universita Giustino Fortunato, Italy

• Stavness Ian, University of Saskatchewan, Canada

• Steinbrink Nicholas, Bertelsmann Stiftung, Germany

• Steiner Petra, BIBB, Germany

• Štěpánek Lubomír, Charles University and Prague University of Economics and Business, Czech Republic

• Stoean Catalin, University of Craiova, Romania

• Stoica Cosmin, University of Craiova, Romania

• Stój Jacek, Silesian University of Technology, Poland

• Stutzer Franziska, WIG2 Institute, Germany

• Subbotin Sergey, National University "Zaporizhzhia Polytechnic", Ukraine

• Suraj Zbigniew, University of Rzeszów, Rzeszów, Poland

• Swacha Jakub, University of Szczecin, Poland

• Symeonidis Symeon, Democritus Univesity of Thrace, Greece

• Szafran Bartlomiej, AGH University of Science and Technology, Poland

• Szantoi Zoltan, European Space Agency,France

• Szczech Izabela, Poznan University of Technology, Poland

• Szczerbicki Edward, University of New Castle, Australia

• Szmit Maciej, University of Łódź, Poland

• Szumski Oskar, University of Warsaw Faculty of Management, Poland

• Szymoniak Sabina, Częstochowa University of Technology, Poland

• Świechowski Maciej, QED Software, Poland

• Taglino Francesco, IASI-CNR, Italy

• Tanwar Sudeep, Nirma University, India

• Tarman Milan, ICS, Slovenija

• Telek Miklos, Budapest University of Technology and Economics, Hungary

• Terra Marcus Vinicius Alencar, Universidade Estadual de Londrina, Brazil

• Tiemann Michael, Federal Institute for Vocational Education and Training, Germany

• Tipparaju Vinod, ByteDance, China

• Tomasz Andrysiak, University of Technology and Life Sciences, Poland

• Tomczyk Łukasz, Jagiellonian University, Poland

• Tomovic Savo, University of Montenegro, Montenegro

• Töreyin Behçet Ugur, Istanbul Technical University, Turkey

• Tormasi Alex, Szechenyi Istvan University, Hungary

• Trentesaux Damien, The Polytechnic University of Hauts-de-France, France

• Trocan Maria, Institut Supérieur d'Électronique de Paris, France

• Tudoroiu Nicolae, John Abbott College, Canada

• Tyagi Sudhanshu, Thapar Institute of Engineering & Technology, India

• Úbeda Ignacio Lacalle, Universitat Politecnica de Valencia, Spain

• Ullah Zaib, Universita Telematica Giustino Fortunato, Italy

• Vasilakis Christos, Squaredev, Belgium

• Vasiliev Julian, University of Economics – Varna, Bulgaria

• Vega-Rodríguez Miguel A., University of Extremadura, Spain

• Verstraete Jörg, Instytut Badań Systemowych Polskiej Akademii Nauk, Poland

• Vescoukis Vassilios, National Technical University of Athens, Greece

• Viedma Enrique Herrera, University of Granada, Spain

• Vladusic Daniel, X-LAB, Slovenia

• Vo Bich Khue, University of Finance - Marketing, Vietnam

• Vogiatzis Chrysafis, University of Illinois, USA

• Vu Quang Hieu, Greenfeed, Vietnam

• Wahid Khan Ferdous, Airbus Group, Germany

• Waqas Abdullah, National University of Technology, Pakistan

• Weber Richard, Universidad de Chile, Chile

• Wei Wei, Xi'an University of Technology, China

• Węcel Krzysztof, Poznań University of Economics and Business, Poland

• Wielki Janusz, Opole University of Technology, Poland

• Wimmer Manuel, Johannes Kepler University Linz

• Winnige Stefan, BIBB, Germany

• Wrona Konrad, NATO Communications and Information Agency, the Netherlands

• Wróblewska Anna, Warsaw University of Technology, Poland

• Wyrzykowski Roman, Częstochowa University of Technology, Poland

• Wysocki Marian, Rzeszów University of Technology, Poland

• Xenakis Christos, University of Piraeus, Greece

• Xuetao Jin, Communication University of China, China

• Yang Yujiu, Tsinghua University, China

• Yasir Muhammad, IREA-CNR, Italy

• Zadrożny Sławomir, Systems Research Institute Polish Academy of Sciences, Poland

• Zahra Ouariach Fatima, Abdelmalek Essaadi University Tetouan, Morocco

• Zając Mieczysław, Cracow University of Technology, Poland

• Zborowski Marek, University of Warsaw, Poland

• Zhu Yungang, Jilin University, China

• Zielosko Beata, University of Sielsia, Poland

• Zitouni M. Sami, University of Dubai, United Arab Emirates

• Zukanović Milica, University of Belgrade, Serbia

Acknowledgments

In conclusion, let us emphasize that delivery of FedCSIS 2024 required a dedicated effort of many people. We would like to express our warmest gratitude to all Topical Area Curators, Thematic Session organizers, members of the FedCSIS 2024 Senior Program Committee and members of the FedCSIS 2024 Program Committee, for their hard work in attracting and reviewing all submissions. We thank the authors of papers for their great contribution to the theory and practice of Computer Science and Intelligence Systems. We are grateful to Keynote and Invited Speakers for sharing their knowledge and experiences with the participants. Last, but not least, we acknowledge, one more time, Ivan Lukovic and Dragana Makajić-Nikolić and their Team, consisting of truly fantastic people. We are very grateful for your efforts! We hope that you all 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. Finally, we hope that you will find the evolution of the FedCSIS Conference concept as something 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 we are considering (and that has to be considered).

Parts 4 and 5 of FedCSIS 2024 Proceedings contain contributions originating from the Thematic Sections. Let us briefly introduce each one of them (in alphabetical order).

I. Advances in Programming Languages

Programming languages are programmers' most basic tools. With appropriate programming languages one can drastically reduce the cost of building new applications, as well as maintaining existing ones. In the last decades, there have been many advances in programming languages technology. This includes both the traditional programming paradigms, such as functional, logic, and object-oriented programming, as well as the development of new ones, such as aspect-oriented programming. The main driving force was, and will be, to better express programmers' ideas. Therefore, research in programming languages is an endless activity and the core of computer science. New language features, new programming paradigms, and better compile-time and run-time mechanisms can be foreseen in the future. Here, the future role of intelligence systems, as the target for programming, should also be considered. In this context, the aim of this thematic session was to provide a forum for exchange of ideas and experience in topics concerned with programming languages, with focus on intelligence systems development and implementation.

Thematic Session organizers:

+ Kardas, Geylani, Ege University International Computer Institute, Turkey

+ Mernik, Marjan, University of Maribor, Slovenia

+ Rangel Henriques, Pedro, Universidade do Minho, Portugal

+ Slivnik, Boštjan, University of Ljubljana, Slovenia

+ Janousek, Jan, Czech Technical University, Czech Republic

+ Varanda Pereira, Maria Joao, Instituto Politecnico de Braganca, Portugal

II. Artificial Intelligence in Agriculture Artificial intelligence is increasingly used in agriculture, to address multiple issues, from plant disease detection to weeding automation, soil status monitoring, crop prediction, irrigation management, and decreased use of resources, for improving product quality and process productivity. As a matter of fact, when AI methods and approaches are infused into the agriculture, the resulting Agri-intelligence Systems, can deliver, for instance, precision agriculture, by optimizing, automating and forecasting multiple aspects of farming, and revolutionizing the sector, providing helpful information and driving decisions using multiple sources of data and different sensors. Moreover, in the era of climate change, Agri-intelligence Systems may be able to improve long-term sustainability, by optimizing use of resources, e.g. in the case of water and soil management. This thematic session welcomed contributions concerning all aspects of interdisciplinary research and applications related to Agri-intelligence Systems.

Thematic session organizers:

+ Charvat, Karel, Czech Center for Science and Society, Prague, Czech Republic

+ Martinelli, Massimo, National Research Council of Italy, Pisa, Italy

+ Moroni, Davide, National Research Council of Italy, Pisa, Italy

+ Procházka, Ales, University of Chemistry and Technology & Czech Technical University CIIRC, Prague, Czech Republic

III. Artificial Intelligence in Digital Humanities, Computational Social Sciences and Economics Research

This thematic session was dedicated to the computational study of social sciences, economics and humanities including, among others, education, labor market, history, religious studies, cultural heritage, and informative predictions for decision-making and behavioral-science perspectives. Besides new discoveries, it was devoted to reflections about their growth within computer science and emphasized the interdisciplinary exchange and dissemination with a clear focus on computational and intelligence-oriented methods. Since there is a clear methodological overlap between the considered domains of social sciences, economics and humanities and, often, similar algorithms and AI approaches are considered for them, this session was a place for discussing a “joint toolbox”, supporting scholars from multiple fields with human and context-aware “agents”. The session included also research related to trustworthy data infrastructures, housing both quantitative and qualitative data.

Thematic session organizers:

+ Cooper, Anthony-Paul, Durham University, Durham, United Kingdom and University of Turku, Turku, Finland

+ Dörpinghaus, Jens, BIBB and University of Koblenz, Koblenz, Germany

+ Helmrich, Robert, BIBB and University of Bonn, Bonn, Germany

+ Speckesser, Stefan, Brighton University, Brighton, United Kingdom

IV. Application of Disruptive Technologies for Society 5.0

This thematic session provided an opportunity to discuss recent disruptive technologies and their application in the new Society 5.0, for better human life. It considered new trends in blockchain, AI and Big Data applied, among others, to fields related to smart cities and Society 5.0 such as healthcare, education, finance, mobility, logistics and quality of life. It provided an opportunity to present and discuss the most recent and relevant research results, innovations, experiences, concerns, challenges, and trends about the application of disruptive technologies applied to Society 5.0.

Thematic session organizers:

+ Arezki, Sara, Hassan First University, Morocco

+ Khan, Inam Ullah, Isra University, Pakistan

+ Ebersold, Sophie, University of Toulouse, IRIT CNRS, France

+ El Hamlaoui, Mahmoud, Mohamed V University in Rabat, Morocco

V. Challenges for Natural Language Processing

This thematic session consisted of contributions related to all aspects of NLP. Of particular interest were works addressing NLP tools, multimodal problems, cross-lingual learning and processing of natural languages.

Thematic session organizers:

+ Kobyliński, Łukasz, Institute of Computer Science, Polish Academy of Sciences, Poland

+ Kubis, Marek, Faculty of Mathematics and Computer Science, Adam Mickiewicz University, Poland

VI. Complex Networks: Theory and Application

In the world around us, one can observe many network structures that interconnect various elements such as cells, people, urban centers, network devices, companies, manufacturing machines, etc. Moreover, it is easy to notice that most of them evolve over time. The analysis of such systems, from the point of view of complex networks, brings about better understanding of the processes within them, which can be used to optimize their structure, improve their management methods, detect failures, improve their operating efficiency or plan their development and evolution. Currently, each of these aspects separately and all of them jointly are based on application of tools and methods from artificial intelligence. Moreover, the ultimate result of the majority of relevant work is to support development of intelligence systems. Therefore, the main goal of this thematic session was to exchange knowledge and experience between specialists from different areas who, in their research and design work, use theories and solutions characteristic for complex systems. This thematic session was organized in cooperation with Regional Center of Excellence for Automation and Robotics, Computer Science, Electrical Engineering, Electronics and Telecommunications Rzeszow University of Technology

Thematic session organizers:

+ Kondratenko, Yuriy, Petro Mohyla Black Sea National University, Ukraine

+ Paszkiewicz, Andrzej, Rzeszów University of Technology, Poland

VII. Computational Optimization

Many real-world problems, arising in engineering, economics, medicine and other domains, can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints, which ask for adequate computational methods. The aim of this thematic session was to stimulate communication between researchers working in different fields of optimization, and practitioners who need reliable and efficient computational optimization methods. Contributions related to both theoretical and practical aspects of optimization methods were represented.

Thematic session organizers:

+ Fidanova, Stefka, Bulgarian Academy of Sciences, Bulgaria

+ Mucherino, Antonio, IRISA, University of Rennes, France

+ Zaharie, Daniela, West University of Timisoara, Romania

VIII. Computer Aspects of Numerical Algorithms

Numerical algorithms are widely used by scientists engaged in various areas (including computational kernels, used to realize modern machine learning algorithms). There is a special need for highly efficient and easy-to-use scalable tools for solving large scale problems. This thematic session was devoted to numerical algorithms, with particular attention focused on the latest scientific trends in this area and on problems related to implementation of libraries of efficient numerical algorithms. The main goal of this track was to facilitate meeting of researchers and exchange of their experiences.

Thematic session organizers:

+ Bylina, Beata, Maria Curie-Skłodowska University, Lublin, Poland

+ Bylina, Jarosław, Maria Curie-Skłodowska University, Lublin, Poland

+ Cyganek, Bogusław, AGH University of Science and Technology, Kraków, Poland

+ Lirkov, Ivan, Bulgarian Academy of Sciences, Sofia, Bulgaria

+ Stpiczyński, Przemysław, Maria Curie-Skłodowska University, Lublin, Poland

IX. Data Science in Health, Ecology and Commerce

This thematic session was a forum for exchange of ideas concerning all forms of data analysis, data economics, information systems and data-based research, focusing on the interaction of those three fields. Here, data-driven intelligence solutions can be generated by understanding complex real-world (health-related) problems, critical thinking and analytics to derive knowledge from (Big) data. The past years have shown a forthcoming interest in innovative data technology and analytics solutions that link and utilize large amounts of data across individual digital ecosystems. Here, scenarios, in the field of health, smart cities or agriculture, merge data from various IoT devices, social media or applications, and demonstrate the great potential for gaining new insights, supporting decisions, or providing smarter services. Together with inexpensive sensors and computing power they provide foundation of a world that bases its decisions on data. However, this is only the beginning of the journey towards intelligence systems, and the pertinent methods and technologies, and the potential application fields, as well as the impact on society and economy, must be explored. This endeavor needs the knowledge of researchers from different fields applying diverse perspectives and using different methodological directions to find a way to grasp and fully understand the power and opportunities of data science. Bringing together researchers and practitioners of pertinent fields was one of focal points of this thematic session.

Thematic session organizers:

+ Bumberger, Jan, Helmholtz‐Centre for Environmental Research – UFZ, Leipzig, Germany

+ Franczyk, Bogdan, University of Leipzig, Leipzig, Germany

+ Häckl, Dennis, University of Leipzig, Germany and WIG2 Institute for Health Economics and Health Service Research, Leipzig, Germany

+ Militzer-Horstmann, Carsta, WIG2 Institute for Health Economics and Health Service Research, Leipzig, Germany

+ Reinhold, Olaf, University of Leipzig / Social CRM Research Center, Leipzig, Germany

X. Industrial Cyber-Physical Systems and Software Agents

In line with the strategic objectives of Horizon Europe and the move towards Industry 4.0, the effective management of Industrial Cyber-Physical Systems presents economic challenges and opportunities. Addressing the complex challenges of large-scale collaboration and the nuances of distributed system architectures is essential for the development of robust and efficient ICPSs. It is therefore essential to strengthen research into predictive control systems, focusing on both theoretical and practical applications to meet the demands of these sophisticated environments. With the increasing complexity of ICPSs, there is a pressing need for advanced modelling and simulation methods. This is particularly relevant in the context of Multi-Agent Systems (MAS), which benefit from the integration of, broadly understood, artificial intelligence. The convergence of the Internet of Things, Cloud computing and Edge computing technologies is crucial in this context, enabling distributed learning and improving the responsiveness of MAS in ICPS. Hence, this thematic session seeks to explore the potential for collaboration between software agents and ICPSs, using the interconnections provided by IoT, Cloud and Edge computing to meet the strategic objectives of international research agendas and the principles of Industry 4.0.

Thematic session organizers

+ Alves, Filipe, DTx – Digital Transformation Colab, Portugal

+ Barbosa, José, Research Centre in Digitalization and Intelligent Robotics (CeDRI), Polytechnic Institute of Bragança, Portugal

+ Rodrigues, Nelson Ricardo, DTx – Digital Transformation Colab, Portugal

XI. Information Systems Management

This thematic session facilitated a forum for exchange of ideas, for practitioners and theorists working in the broad area of intelligent information systems management in organizations. It is focused on three complimentary directions: management of information systems in an organization, uses of information systems to empower managers, and information systems for sustainable development. Here, the interest encompassed all aspects of planning, organizing, resourcing, coordinating, controlling and leading the management function to ensure a smooth operation of intelligent information systems in organizations. Moreover, the contributions discussing the uses of intelligence systems and information technology to facilitate (and, possibly, fully automate) the management functions were included. Research on the influence of intelligence systems on sustainability was welcomed as well.

Thematic session organizers:

+ Bicevska, Zane, University of Latvia, Riga, Latvia

+ Chmielarz, Witold, University of Warsaw, Warsaw, Poland

+ Leyh, Christian, University of Applied Sciences, Giessen, Germany

+ Sołtysik-Piorunkiewicz, Anna, University of Economics in Katowice, Poland

XII. Internet of Things – Enablers, Challenges and Applications

The Internet of Things (IoT) is rapidly being deployed around the world. IoT applications include, among others: smart city initiatives, wearable devices aimed to real-time health monitoring, smart homes and buildings, smart vehicles, environment monitoring, intelligent border protection, logistics support. IoT assumes pervasive presence of smart things, including sensors, actuators, embedded systems, etc. Widespread connectivity, getting cheaper smart devices and an exploding demand for data suggest that IoT will continue to grow by leaps and bounds. The business models of various industries are being redesigned around IoT principles. This thematic session was focused on the IoT challenges in networking and information management, security and privacy, logistics, situation awareness, and medical care.

Thematic track organizers:

+ Chudzikiewicz, Jan, Military University of Technology, Poland

+ Zieliński, Zbigniew, Military University of Technology, Poland

XIII. Model Driven Approaches in System Development

For many years, various approaches in system design and implementation differentiated between the specification of the system and its implementation on a particular platform. People in software industry have been using models for a precise description of systems at the appropriate abstraction level without unnecessary details. Model Driven (MD) approaches to the system development increase the importance and power of models by shifting the focus from programming to modeling activities. Models may be used as primary artifacts in constructing software, which means that software components are generated from models. Software development tools need to automate as many as possible tasks of model construction and transformation requiring the smallest amount of human interaction. The goal of the thematic session is to bring together researchers working on MD approaches, techniques and tools, as well as Domain Specific Modeling and Domain Specific Languages and applying them in the requirements engineering, information system and application development, databases, and related areas, so that they can exchange their experience, create new ideas, evaluate and improve MD approaches and spread its use. Moreover, in response to the recent trends, an additional goal is to reflect on the relations between MD approaches and development of intelligence systems.

Thematic session organizers:

+ Milašinović, Boris, University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia

+ Gray, Jeff, University of Alabama, United States

+Ristić, Sonja, University of Novi Sad, Faculty of Technical Sciences, Serbia

XIV. Multimedia Applications and Processing

Multimedia, computer vision, graphics, and machine learning have become ubiquitous in modern information systems, creating new challenges for detection, recognition, indexing, access, search, retrieval, automated understanding, and processing, resulting in many applications based on image and signal processing, machine learning and various multimedia technologies. Recent advances in pervasive computers, networks, telecommunications, and information technology, along with the proliferation of multimedia mobile devices, have stimulated the rapid development of new generation of multimedia-focused intelligence systems. Here, the key technologies, including (but not limited to) virtual reality, augmented reality, and computational intelligence, facilitate a multimedia revolution that significantly impacts a broad spectrum of consumer, business, healthcare, educational and governmental domains. This thematic session covered a range of AI-anchored theories, methods, algorithms, technologies, and systems for diversified and heterogeneous digital multimedia, imaging, computer graphics and machine learning areas. Moreover, it provided an opportunity for researchers and professionals to discuss present and future challenges and potential collaboration for future progress in these fields.

Thematic Session organizers:

+ Iwanowski, Marcin, Warsaw University of Technology, Poland

+ Kwaśnicka, Halina, Wrocław University of Science and Technology, Poland

+ Śluzek, Andrzej, Khalifa University, United Arab Emirates

+ Stanescu, Liana, University of Craiova, Romania

XV. Resilience in Critical Infrastructures and Systems

With the increased digitalization and adoption of off-the-shelf information technology components, Critical Infrastructures (CI) have benefited in many ways, but the cyber-attack surface also became larger. Besides many single CI cyber risks, inter-CI systems and software also have a need for unified prevention, protection, data processing, and fast recovery. These issues are even more pronounced in the case of intelligence systems, which start to involve (semi-)autonomous decision making. In this context, the European Commission tries to tackle the resilience of CI with the integration of different strategies, indicators, and tools that rely on intelligent processing of available data, as well as regulations and policy measures. The focus of the thematic session was to explore all aspects related to making critical infrastructures, and intelligence systems in particular, more resilient.

Thematic session organizers:

+ Blanco, Jose Miguel, Polytechnic University of Madrid (UPM), Spain

+ Jovanovic, Aleksandar, European Risk and Resilience Institute (EU-VRi), Germany

+ Pasic, Aljosa, Eviden, Spain

+ Schauer, Stefan, Austrian Institute of Technology (AIT), Austria

+ Segou, Olga, Netcompany-Intrasoft, Greece

XVI. Rough Sets: Theory and Applications

This thematic session discussed research related to the state-of-the-art and future perspectives of rough sets, considered from both a theoretical standpoint and real-world applications. Rough set theory is a versatile mathematical framework that has proven successful in AI, knowledge representation, approximate reasoning, data mining, machine learning, and pattern recognition, among other areas. The track was devoted to all the mentioned areas, with an additional emphasis on problems of modeling AI processes using rough set-based techniques. The session provided an opportunity for interdisciplinary exchange and collaboration among scientists from diverse backgrounds, including mathematics, computer science, statistics, physics, engineering, and social sciences. Moreover, it allowed staying up to date with the state-of-the-art in rough set theory and its applications, and to discuss future research directions and opportunities.

Thematic session organizers:

+ Artiemjew, Piotr, University of Warmia and Mazury in Olsztyn, Poland

+ Chelly Dagdia, Zaineb, UVSQ, Paris-Saclay, France

+ Mani, A., Indian Statistical Institute, Kolkata, India

XVII. Scalable Computing

The world of large-scale computing continuously evolves. The most recent addition to the mix comes from numerous data streams that materialize from exploding number of cheap sensors installed “everywhere”, on the one hand, and ability to capture and study events with systematically increasing granularity, on the other. To address the needs for scaling computational and storage infrastructures, concepts like: edge, fog and dew computing emerged. Novel issues, involved in “pushing computing away from the center”, did not replace open questions that existed in the context of Grid and Cloud computing. Rather, they added new dimensions of complexity and resulted in the need of addressing scalability across more and more complex ecosystems consisting of individual sensors and micro-computers (e.g. Raspberry PI based systems) as well as supercomputers available within the Cloud. Moreover, intelligence systems bring about questions related to machine learning scalability. Addressing research questions that arise in individual “parts” as well as across the ecosystem viewed from a holistic perspective, with scalability as the focus, was the goal of this thematic session.

Thematic session organizers:

+ Gepner, Paweł, Warsaw University of Technology, Warsaw, Poland

+ Gusev, Marjan, University Ss. Cyril and Methodius, Skopje, Macedonia

+ Petcu, Dana, West University of Timisoara, Timisoara, Romania

+ Ristov, Sashko, University of Innsbruck, Innsbruck, Austria

+ Stencel, Krzysztof, University of Warsaw, Warsaw, Poland

XVIII. Self Learning and Self Adaptive Systems

Self-learning systems consist of entities that can acquire and renew knowledge over time without hard coding. Typically, in this class of intelligence systems, functions improve by a learning process, where the system initially interacts with its users, or the surrounding environment, by attempting and observing the changes produced by its actions. This session focused on the design, implementation and exploitation of self-learning features, within an intelligent environment or some of its components.

Thematic session organizers:

+ Coronato, Antonio, Università Giustino Fortunato, Benevento, Italy

+ Naeem, Muddasar, Università Giustino Fortunato, Benevento, Italy