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Назва: The evolving landscape of computer science and software engineering: Trends, challenges, and future directions
Автори: Semerikov, Serhiy O.
Striuk, Andrii M.
Ключові слова: computer science
software engineering
artificial intelligence
machine learning
human-computer interaction
data analytics
algorithms
database systems
computer architecture
software development methodologies
interdisciplinary research
scientific computing
visualization
formal methods
theory of computation
Дата публікації: 7-лют-2025
Видавництво: CEUR Workshop Proceedings
Бібліографічний опис: The evolving landscape of computer science and software engineering: Trends, challenges, and future directions / Serhiy O. Semerikov, Andrii M. Striuk // Proceedings of the 7th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2024). Virtual Event, Kryvyi Rih, Ukraine, December 27, 2024 / Edited by: Serhiy O. Semerikov, Andrii M. Striuk // CEUR Workshop Proceedings. – 2025. – Vol. 3917. – P. 1-46. – Access mode : https://ceur-ws.org/Vol-3917/paper00.pdf DOI: https://doi.org/10.55056/ceur-ws.org/Vol-3917/paper00.pdf
Короткий огляд (реферат): The 7th Workshop for Young Scientists in Computer Science & Software Engineering (CS&SE@SW 2024) brought together researchers, practitioners, and experts to explore the latest advancements, trends, and challenges in the rapidly evolving fields of computer science and software engineering. The workshop covered a wide range of topics, including software engineering processes, theoretical computer science, computer systems, and cutting- edge computer applications. The papers presented at the workshop showcase the innovative research being conducted by young scientists, highlighting the potential for groundbreaking developments in areas such as artificial intelligence, machine learning, data analytics, and human-computer interaction. This proceedings volume provides a comprehensive overview of the research presented at the workshop, organized into four main chapters: Software Engineering, Theoretical Computer Science, Computer Systems, and Computer Applications. The Software Engineering chapter focuses on requirements, design, construction, testing, and methodologies, emphasizing the importance of robust and efficient software development practices. The Theoretical Computer Science chapter explores advancements in algorithms, data structures, theory of computation, and formal methods, providing a foundation for future innovations. The Computer Systems chapter discusses developments in computer architecture, performance, and databases, underlining the critical role of hardware and data management in modern computing. Finally, the Computer Applications chapter showcases the practical applications of computer science and software engineering, with a particular focus on graphics, visualization, human-computer interaction, scientific computing, and artificial intelligence.
Опис: [1] A. E. Kiv, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, First Student Workshop on Computer Science & Software Engineering, CEUR Workshop Proceedings 2292 (2018) 1–10. URL: http://ceur-ws.org/Vol-2292/paper00.pdf. [2] A. E. Kiv, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, Second Student Workshop on Computer Science & Software Engineering, CEUR Workshop Proceedings 2546 (2019) 1–20. URL: http://ceur-ws.org/Vol-2546/paper00.pdf. [3] A. E. Kiv, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, 3rd Workshop for Young Scientists in Computer Science & Software Engineering, CEUR Workshop Proceedings 2832 (2020) 1–10. URL: http://ceur-ws.org/Vol-2832/paper00.pdf. [4] A. E. Kiv, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, 4th Workshop for Young Scientists in Computer Science & Software Engineering, CEUR Workshop Proceedings 3077 (2022) i–xxxv. URL: https://ceur-ws.org/Vol-3077/intro.pdf. [5] S. O. Semerikov, A. M. Striuk, Embracing Emerging Technologies: Insights from the 6th Workshop for Young Scientists in Computer Science & Software Engineering, CEUR Workshop Proceedings 3662 (2024) 1–36. URL: https://ceur-ws.org/Vol-3662/paper00.pdf. [6] S. O. Semerikov, A. M. Striuk, The evolving landscape of computer science and software engineering: Trends, challenges, and future directions, CEUR Workshop Proceedings (2025) 1–46. [7] A. O. Kurotych, L. V. Bulatetska, Optimizing the process of ER diagram creation with PlantUML, CEUR Workshop Proceedings (2025) 47–57. [8] S. V. Shokaliuk, A. O. Kavetskyi, Design and evaluation of a personalized digital mathematics tutor for grade 6 learners, CEUR Workshop Proceedings (2025) 58–65. [9] Y. O. Chernukha, O. V. Klochko, S. Kizim, A. Mozghalov, Methodology for implementing electronic audit projects (SAF–T UA) for large taxpayers in Ukraine, CEUR Workshop Proceedings (2025) 66–79. [10] N. Moiseienko, M. Moiseienko, D. Lubentsova, A web-based Kanban application for enhancing agile project management practices, CEUR Workshop Proceedings (2025) 131–138. [11] A. Zhdaniuk, O. Tarasova, M. Moiseienko, A. Stepanyuk, An interactive online trainer for primary school computer science education: Design, implementation, and theoretical foundations, CEUR Workshop Proceedings (2025) 139–151. [12] V. P. Oleksiuk, D. Y. Dzhuha, P. P. Melnyk, D. V. Verbovetskyi, Development of the Student Simulator game: From concept to code, CEUR Workshop Proceedings (2025) 89–109. [13] S. V. Pravytskyi, P. V. Merzlykin, A. N. Stepanyuk, Designing and evaluating an affordable Arduino-based lie detector prototype, CEUR Workshop Proceedings (2025) 80–88. [14] N. Rudnichenko, V. Vychuzhanin, D. Shvedov, T. Otradskya, I. Petrov, Information system for generating recommendations for risk-oriented trading strategies based on deep learning, CEUR Workshop Proceedings (2025) 110–119. [15] H. Zemlianukhina, R. Voliansky, N. Volianska, Modeling and simulating of Duffing pendulum in the moved coordinate system, CEUR Workshop Proceedings (2025) 120–130. [16] I. F. Laitaruk, T. O. Hryshanovych, Overview of modern algorithms for world procedural generation in computer games, CEUR Workshop Proceedings (2025) 152–163. [17] R. O. Popov, N. V. Karpenko, V. V. Gerasimov, Overview of small language models in practice, CEUR Workshop Proceedings (2025) 164–182. [18] O. B. Petrovych, Topic modelling of Ukrainian folk songs: A case study on Podillia region, CEUR Workshop Proceedings (2025) 183–198. [19] R. O. Liashenko, S. O. Semerikov, Bibliometric analysis and experimental assessment of chatbot training approaches, CEUR Workshop Proceedings (2025) 199–225. [20] V. M. Smolij, N. V. Smolij, O. Y. Kovalenko, M. Z. Shvydenko, Channel extractor for UAV PPM signals, CEUR Workshop Proceedings (2025) 226–236. [21] N. S. Krapyvnyi, A. A. Azaryan, O. V. Shvydkyi, D. V. Shvets, A. M. Hrytsenko, Development of an automated system for preparing mineral raw material samples for discrete analysis, CEUR Workshop Proceedings (2025) 237–244. [22] Y. Attallah, E. Zigh, Z. Mehalli, A. Ali Pacha, A modified 3D-2D convolutional neural networks for robust mineral identification: Hyperspectral analysis in Djebel Meni (Northwestern Algeria), CEUR Workshop Proceedings (2025) 272–285. [23] O. V. Korotun, T. A. Vakaliuk, T. M. Nikitchuk, M. O. Korotun, Methods of data analysis to study the effectiveness of scientific journal promotion, CEUR Workshop Proceedings (2025) 245–259. [24] I. Krak, M. Molchanova, V. Didur, O. Sobko, O. Mazurets, O. Barmak, Method of semantic features estimation for political propaganda techniques detection using transformer neural networks, CEUR Workshop Proceedings (2025) 286–297. [25] I. Krak, O. Sobko, M. Molchanova, I. Tymofiiev, O. Mazurets, O. Barmak, Method for neural network cyberbullying detection in text content with visual analytic, CEUR Workshop Proceedings (2025) 298–309. [26] O. H. Fedorenko, S. V. Velychko, Y. V. Kaidan, Investigating vulnerabilities of personal data on financial websites, CEUR Workshop Proceedings (2025) 451–458. [27] M. P. Horodyskyi, I. L. Hrabchuk, O. V. Bereznyi, O. S. Fedorova, I. M. Iefremov, Information systems development in accounting: A systematic network study, CEUR Workshop Proceedings (2025) 260–271. [28] A. N. Stepanyuk, P. V. Merzlykin, Y. V. Zheludko, Design and implementation of a mobile health application for physical activity tracking and exercise motivation, CEUR Workshop Proceedings (2025) 310–320. [29] L. Kupershtein, O. Zalepa, V. Sorokolit, S. Prokopenko, AI-agent-based system for fact-checking support using large language models, CEUR Workshop Proceedings (2025) 321–331. [30] A. V. Slobodianiuk, S. O. Semerikov, Advances in neural text generation: A systematic review (2022-2024), CEUR Workshop Proceedings (2025) 332–361. [31] D. O. Hanchuk, S. O. Semerikov, Automating machine learning: A meta-synthesis of MLOps tools, frameworks and architectures, CEUR Workshop Proceedings (2025) 362–414. [32] A. M. Striuk, V. V. Hordiienko, Research and development of a subtitle management system using artificial intelligence, CEUR Workshop Proceedings (2025) 415–427. [33] O. D. Rossiiev, N. N. Shapovalova, O. H. Rybalchenko, A. M. Striuk, A comprehensive survey on reinforcement learning-based recommender systems: State-of-the-art, challenges, and future perspectives, CEUR Workshop Proceedings (2025) 428–440. [34] A. O. Poliaiev, N. N. Shapovalova, S. V. Bilashenko, A. M. Striuk, Research and development of software for hydroacoustic signal analysis using machine learning techniques, CEUR Workshop Proceedings (2025) 441–450. [35] H. Bicen, N. Cavus, The most preferred social network sites by students, Procedia - Social and Behavioral Sciences 2 (2010) 5864–5869. doi:10.1016/j.sbspro.2010.03.958. [36] N. Cavus, Y. B. Mohammed, M. N. Yakubu, An Artificial Intelligence-Based Model for Prediction of Parameters Affecting Sustainable Growth of Mobile Banking Apps, Sustainability 13 (2021) 6206. doi:10.3390/su13116206. [37] D. Budgen, B. Kitchenham, S. Charters, S. Gibbs, A. Pohthong, J. Keung, P. Brereton, Lessons from Conducting a Distributed Quasi-experiment, in: 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2013, pp. 143–152. doi:10.1109/ESEM.2013.12. [38] D. Ghimire, S. Charters, S. Gibbs, Scaling Agile Software Development Approach in Government Organization in New Zealand, in: Proceedings of the 3rd International Conference on Software Engineering and Information Management, ICSIM ’20, Association for Computing Machinery, New York, NY, USA, 2020, p. 100–104. doi:10.1145/3378936.3378945. [39] C. Pribeanu, D. D. Iordache, Evaluating the Motivational Value of an Augmented Reality System for Learning Chemistry, in: A. Holzinger (Ed.), HCI and Usability for Education and Work, volume 5298 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, Berlin, Heidelberg, 2008, pp. 31–42. doi:10.1007/978-3-540-89350-9_3. [40] C. Pribeanu, D. D. Iordache, From Usability to User Experience: Evaluating the Educational and Motivational Value of an Augmented Reality Learning Scenario, in: Affective, Interactive and Cognitive Methods for E-Learning Design, IGI Global, 2010, p. 244–259. doi:10.4018/978-1-60566-940-3.ch013. [41] O. V. Dubolazov, A. G. Ushenko, Y. A. Ushenko, M. Y. Sakhnovskiy, P. M. Grygoryshyn, N. Pavlyukovich, O. V. Pavlyukovich, V. T. Bachynskiy, S. V. Pavlov, V. D. Mishalov, Z. Omiotek, O. Mamyrbaev, Laser Müller matrix diagnostics of changes in the optical anisotropy of biological tissues, in: Information Technology in Medical Diagnostics II, CRC Press, 2019, p. 195–204. doi:10.1201/9780429057618-24. [42] A. Tolegenova, P. A. Kisała, A. Zhetpisbayeva, O. Mamyrbayev, B. Medetov, Experimental determination of the characteristics of a transmission spectrum of tilted fiber Bragg gratings, Metrology and Measurement Systems 26 (2019) 581–589. doi:10.24425/mms.2019.129585. [43] H. Lee, B. Moon, A. H. Aghvami, Enhanced SIP for Reducing IMS Delay under WiFi-to-UMTS Handover Scenario, in: 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies, 2008, pp. 640–645. doi:10.1109/NGMAST.2008.63. [44] J. Bae, B. Moon, Time synchronization with fast asynchronous diffusion in wireless sensor network, in: 2009 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2009, pp. 82–85. doi:10.1109/CYBERC.2009.5342158. [45] J. Wan, C. A. Byrne, M. J. O’Grady, G. M. P. O’Hare, Managing Wandering Risk in People With Dementia, IEEE Transactions on Human-Machine Systems 45 (2015) 819–823. doi:10.1109/THMS.2015.2453421. [46] M. O’Grady, D. Langton, F. Salinari, P. Daly, G. O’Hare, Service design for climate-smart agriculture, Information Processing in Agriculture 8 (2021) 328–340. doi:10.1016/j.inpa.2020.07.003. [47] P. Lula, G. Paliwoda-Pundefinedkosz, An ontology-based cluster analysis framework, in: Proceedings of the First International Workshop on Ontology-Supported Business Intelligence, OBI ’08, Association for Computing Machinery, New York, NY, USA, 2008. doi:10.1145/1452567. 1452574. [48] D. Dymek, M. Grabowski, G. Paliwoda-Pękosz, A proposition of an emerging technologies expectations model: An example of student attitudes towards blockchain, Technological and Economic Development of Economy 28 (2021) 101–130. doi:10.3846/tede.2021.15702. [49] N. K. Suryadevara, S. Kelly, S. C. Mukhopadhyay, Ambient Assisted Living Environment Towards Internet of Things Using Multifarious Sensors Integrated with XBee Platform, in: S. C. Mukhopadhyay (Ed.), Internet of Things: Challenges and Opportunities, volume 9 of Smart Sensors, Measurement and Instrumentation, Springer International Publishing, Cham, 2014, pp. 217–231. doi:10.1007/978-3-319-04223-7_9. [50] S. C. Mukhopadhyay, N. K. Suryadevara, A. Nag, Wearable Sensors and Systems in the IoT, Sensors 21 (2021) 7880. doi:10.3390/s21237880. [51] S. O. Semerikov, T. A. Vakaliuk, I. S. Mintii, V. A. Hamaniuk, V. N. Soloviev, O. V. Bondarenko, P. P. Nechypurenko, S. V. Shokaliuk, N. V. Moiseienko, V. R. Ruban, Mask and Emotion: Computer Vision in the Age of COVID-19, in: Digital Humanities Workshop, DHW 2021, Association for Computing Machinery, New York, NY, USA, 2022, p. 103–124. doi:10.1145/3526242.3526263. [52] I. S. Mintii, T. A. Vakaliuk, S. M. Ivanova, O. A. Chernysh, S. M. Hryshchenko, S. O. Semerikov, Current state and prospects of distance learning development in Ukraine, CEUR Workshop Proceedings 2898 (2021) 41–55. [53] A. Bomba, N. Kunanets, M. Nazaruk, V. Pasichnyk, N. Veretennikova, Model of the Data Analysis Process to Determine the Person’s Professional Inclinations and Abilities, in: Z. Hu, S. Petoukhov, I. Dychka, M. He (Eds.), Advances in Computer Science for Engineering and Education II, volume 938 of Advances in Intelligent Systems and Computing, Springer International Publishing, Cham, 2020, pp. 482–492. doi:10.1007/978-3-030-16621-2_45. [54] Y. Pankiv, N. Kunanets, O. Artemenko, N. Veretennikova, R. Nebesnyi, Project of an Intelligent Recommender System for Parking Vehicles in Smart Cities, in: 2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT), volume 2, 2021, pp. 419–422. doi:10.1109/CSIT52700.2021.9648687. [55] A. De Renzis, M. Garriga, A. Flores, A. Cechich, A. Zunino, Case-based Reasoning for Web Service Discovery and Selection, Electronic Notes in Theoretical Computer Science 321 (2016) 89–112. doi:10.1016/j.entcs.2016.02.006, CLEI 2015, the XLI Latin American Computing Conference. [56] A. Zunino, M. Campo, Chronos: A multi-agent system for distributed automatic meeting scheduling, Expert Systems with Applications 36 (2009) 7011–7018. doi:10.1016/j.eswa.2008.08.024. [57] L. Moravec, R. Danel, J. Chlopecký, Application of the Cyber Security Act in Havířovská teplárenská společnost, a.s, in: R. Nemec, L. Chytilova (Eds.), SMSIS 2017 - Proceedings of the 12th International Conference on Strategic Management and its Support by Information Systems 2017, VSB-Technical University of Ostrava, 2017, pp. 425–433. [58] N. Shakhovska, R. Holoshchuk, S. Fedushko, O. Kosar, R. Danel, M. Repka, The Sequential Associative Rules Analysis of Patient’s Physical Characteristics, in: N. Shakhovska, S. Montenegro, Y. Estève, S. Subbotin, N. Kryvinska, I. Izonin (Eds.), Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018), Lviv, Ukraine, November 28-30, 2018, volume 2255 of CEUR Workshop Proceedings, CEUR-WS.org, 2018, pp. 82–92. URL: https://ceur-ws.org/Vol-2255/paper8.pdf. [59] A. Dudnik, Y. Kravchenko, O. Trush, O. Leshchenko, N. Dakhno, V. Rakytskyi, Study of the Features of Ensuring Quality Indicators in Multiservice Networks of the Wi-Fi Standard, in: 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT), 2021, pp. 93–98. doi:10.1109/ATIT54053.2021.9678691. [60] L. Kuzmych, D. Ornatskyi, V. Kvasnikov, A. Kuzmych, A. Dudnik, S. Kuzmych, Development of the Intelligent Instrument System for Measurement Parameters of the Stress - Strain State of Complex Structures, in: 2022 IEEE 4th International Conference on Advanced Trends in Information Theory (ATIT), 2022, pp. 120–124. doi:10.1109/ATIT58178.2022.10024222. [61] E. Erturk, Using a Cloud Based Collaboration Technology in a Systems Analysis and Design Course, International Journal of Emerging Technologies in Learning (iJET) 11 (2016) 33–37. doi:10.3991/ijet.v11i01.4991. [62] S. Day, E. Erturk, E-Learning objects in the cloud: SCORM compliance, creation and deployment options, Knowledge Management and E-Learning 9 (2017) 449–467. [63] J. Mesarosova, K. Martinovicova, H. Fidlerova, H. H. Chovanova, D. Babcanova, J. Samakova, Improving the level of predictive maintenance maturity matrix in industrial enterprise, Acta Logistica 9 (2022) 183–193. doi:10.22306/al.v9i2.292. [64] H. Fidlerová, J. Prachař, P. Sakál, Application of Material Requirements Planning as Method for Enhancement of Production Logistics in Industrial Company, Applied Mechanics and Materials 474 (2014) 49–54. doi:10.4028/www.scientific.net/AMM.474.49. [65] A. F. Bardamid, A. I. Belyaeva, V. N. Bondarenko, J. W. Davis, A. A. Galuza, I. E. Garkusha, A. A. Haasz, V. G. Konovalov, A. D. Kudlenko, M. Poon, I. V. Ryzhkov, S. I. Solodovchenko, A. F. Shtan, V. S. Voitsenya, K. L. Yakimov, Ion fluence and energy effects on the optical properties of SS mirrors bombarded by hydrogen ions, Physica Scripta T 103 (2002) 109–112. [66] A. I. Belyaeva, A. A. Galuza, I. V. Kolenov, V. G. Konovalov, A. A. Savchenko, O. A. Skorik, Effect of sputtering on the samples of ITER-grade tungsten preliminarily irradiated by tungsten ions: Optical investigations, The Physics of Metals and Metallography 114 (2013) 703–713. doi:10.1134/S0031918X13060033. [67] P. Hryhoruk, N. Khrushch, S. Grygoruk, Model for Assessment of the Financial Security Level of the Enterprise Based on the Desirability Scale, in: A. Kiv, S. Semerikov, V. N. Soloviev, L. Kibalnyk, H. Danylchuk, A. Matviychuk (Eds.), Proceedings of the Selected Papers of the 8th International Conference on Monitoring, Modeling & Management of Emergent Economy, M3E2-EEMLPEED 2019, Odessa, Ukraine, May 22-24, 2019, volume 2422 of CEUR Workshop Proceedings, CEUR-WS.org, 2019, pp. 169–180. URL: https://ceur-ws.org/Vol-2422/paper14.pdf. [68] P. Hryhoruk, N. Khrushch, S. Grygoruk, Environmental safety assessment: a regional dimension, IOP Conference Series: Earth and Environmental Science 628 (2021) 012026. doi:10.1088/1755-1315/628/1/012026. [69] S. O. Semerikov, I. O. Teplytskyi, V. N. Soloviev, V. A. Hamaniuk, N. S. Ponomareva, O. H. Kolgatin, L. S. Kolgatina, T. V. Byelyavtseva, S. M. Amelina, R. O. Tarasenko, Methodic quest: Reinventing the system, Journal of Physics: Conference Series 1840 (2021) 012036. doi:10.1088/1742-6596/1840/1/012036. [70] V. N. Kukharenko, A. G. Kolgatin, The unsteady-state diffusion model of forming a cryoprecipitate, Inzhenerno-Fizicheskii Zhurnal 61 (1991) 447–451. [71] A. V. Riabko, T. A. Vakaliuk, O. V. Zaika, R. P. Kukharchuk, V. V. Kontsedailo, Chatbot algorithm for solving physics problems, CEUR Workshop Proceedings 3553 (2023) 75–92. [72] A. V. Riabko, T. A. Vakaliuk, O. V. Zaika, R. P. Kukharchuk, V. V. Kontsedailo, Cluster fault tolerance model with migration of virtual machines, CEUR Workshop Proceedings 3374 (2023) 23–40. [73] S. Papadakis, A. E. Kiv, H. M. Kravtsov, V. V. Osadchyi, M. V. Marienko, O. P. Pinchuk, M. P. Shyshkina, O. M. Sokolyuk, I. S. Mintii, T. A. Vakaliuk, A. M. Striuk, S. O. Semerikov, Revolutionizing education: using computer simulation and cloud-based smart technology to facilitate successful open learning, CEUR Workshop Proceedings 3358 (2023) 1–18. [74] S. Papadakis, A. E. Kiv, H. M. Kravtsov, V. V. Osadchyi, M. V. Marienko, O. P. Pinchuk, M. P. Shyshkina, O. M. Sokolyuk, I. S. Mintii, T. A. Vakaliuk, L. E. Azarova, L. S. Kolgatina, S. M. Amelina, N. P. Volkova, V. Y. Velychko, A. M. Striuk, S. O. Semerikov, Unlocking the power of synergy: the joint force of cloud technologies and augmented reality in education, CEUR Workshop Proceedings 3364 (2023) 1–23. [75] V. Kryzhanivskyy, V. Bushlya, O. Gutnichenko, R. M’Saoubi, J.-E. Ståhl, Computational and Experimental Inverse Problem Approach for Determination of Time Dependency of Heat Flux in Metal Cutting, Procedia CIRP 58 (2017) 122–127. doi:10.1016/j.procir.2017.03.204, 16th CIRP Conference on Modelling of Machining Operations (16th CIRP CMMO). [76] P. Moskvin, V. Kryzhanivskyy, P. Lytvyn, L. Rashkovetskyi, Multifractal spectrums for volumes of spatial forms on surface of ZnxCd1-xTe-Si (111) heterostructures and estimation of the fractal surface energy, Journal of Crystal Growth 450 (2016) 28–33. doi:10.1016/j.jcrysgro.2016.05.035. [77] S. Semerikov, D. Zubov, A. Kupin, M. Kosei, V. Holiver, Models and Technologies for Autoscaling Based on Machine Learning for Microservices Architecture, CEUR Workshop Proceedings 3664 (2024) 316–330. [78] S. S. Korniienko, P. V. Zahorodko, A. M. Striuk, A. I. Kupin, S. O. Semerikov, A systematic review of gamification in software engineering education, CEUR Workshop Proceedings 3844 (2024) 83–95. [79] I. Pilkevych, O. Boychenko, N. Lobanchykova, T. Vakaliuk, S. Semerikov, Method of assessing the influence of personnel competence on institutional information security, CEUR Workshop Proceedings 2853 (2021) 266–275. [80] N. M. Lobanchykova, T. A. Vakaliuk, V. P. Korbut, S. M. Lobanchykov, Y. B. Krasnov, Features of designing systems for the formation of an internal microclimate of a high class of cleanliness of operating rooms of medical institutions, IOP Conference Series: Earth and Environmental Science 1415 (2024) 012124. doi:10.1088/1755-1315/1415/1/012124. [81] A. V. Morozov, T. A. Vakaliuk, I. A. Tolstoy, Y. O. Kubrak, M. G. Medvediev, Digitalization of thesis preparation life cycle: A case of Zhytomyr Polytechnic State University, CEUR Workshop Proceedings 3553 (2023) 142–154. [82] N. Lobanchykova, S. Kredentsar, I. Pilkevych, M. Medvediev, Information technology for mobile perimeter security systems creation, Journal of Physics: Conference Series 1840 (2021) 012022. doi:10.1088/1742-6596/1840/1/012022. [83] V. P. Oleksiuk, J. A. Overko, O. M. Spirin, T. A. Vakaliuk, A secondary school’s experience of a cloud-based learning environment deployment, CEUR Workshop Proceedings 3553 (2023) 93–109. [84] V. P. Oleksiuk, O. R. Oleksiuk, T. A. Vakaliuk, A model of application and learning of cloud technologies for future Computer Science teachers, CEUR Workshop Proceedings 3820 (2024) 82–101. [85] I. Banicescu, R. L. Carino, J. P. Pabico, M. Balasubramaniam, Overhead analysis of a dynamic load balancing library for cluster computing, in: 19th IEEE International Parallel and Distributed Processing Symposium, 2005. doi:10.1109/IPDPS.2005.320. [86] S. Dhandayuthapani, I. Banicescu, R. L. Carino, E. Hansen, J. R. Pabico, M. Rashid, Automatic selection of loop scheduling algorithms using reinforcement learning, in: CLADE 2005. Proceedings Challenges of Large Applications in Distributed Environments, 2005., 2005, pp. 87–94. doi:10.1109/CLADE.2005.1520907. [87] H. Wright, K. Brodlie, J. Wood, J. Procter, Problem Solving Environments: Extending the Rôle of Visualization Systems, in: A. Bode, T. Ludwig, W. Karl, R. Wismüller (Eds.), Euro-Par 2000 Parallel Processing, volume 1900 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, Berlin, Heidelberg, 2000, pp. 1323–1331. doi:10.1007/3-540-44520-X_185. [88] S. A. MacGowan, F. Madeira, T. Britto-Borges, M. Warowny, A. Drozdetskiy, J. B. Procter, G. J. Barton, The Dundee Resource for Sequence Analysis and Structure Prediction, Protein Science 29 (2020) 277–297. doi:10.1002/pro.3783. [89] V. Derbentsev, N. Datsenko, V. Babenko, O. Pushko, O. Pursky, Forecasting Cryptocurrency Prices Using Ensembles-Based Machine Learning Approach, in: 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T), 2020, pp. 707–712. doi:10.1109/PICST51311.2020.9468090. [90] O. I. Purskiˇı, N. N. Zholonko, V. A. Konstantinov, Heat transfer in the orientationally disordered phase of SF6, Low Temperature Physics 26 (2000) 278–281. doi:10.1063/1.593899. [91] V. Tkachuk, Y. Yechkalo, S. Semerikov, M. Kislova, Y. Hladyr, Using Mobile ICT for Online Learning During COVID-19 Lockdown, in: A. Bollin, V. Ermolayev, H. C. Mayr, M. Nikitchenko, A. Spivakovsky, M. Tkachuk, V. Yakovyna, G. Zholtkevych (Eds.), Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2020, volume 1308 of Communications in Computer and Information Science, Springer International Publishing, Cham, 2021, pp. 46–67. doi:10.1007/978-3-030-77592-6_3. [92] D. S. Shepiliev, S. O. Semerikov, Y. V. Yechkalo, V. V. Tkachuk, O. M. Markova, Y. O. Modlo, I. S. Mintii, M. M. Mintii, T. V. Selivanova, N. K. Maksyshko, T. A. Vakaliuk, V. V. Osadchyi, R. O. Tarasenko, S. M. Amelina, A. E. Kiv, Development of career guidance quests using WebAR, Journal of Physics: Conference Series 1840 (2021) 012028. doi:10.1088/1742-6596/1840/1/012028. [93] A. Adamov, S. Mehdiyev, E. Seyidzade, Good practice of data modeling and database design for UMIS. Course registration system implementation, in: 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT), 2014, pp. 1–4. doi:10.1109/ICAICT.2014.7035949. [94] E. S. Vagif, A. A. Zahir, Developing of the creative abilities of the pupils by the using the project on training method in the classes of the informatics in the general schools, in: 2011 5th International Conference on Application of Information and Communication Technologies (AICT), 2011, pp. 1–5. doi:10.1109/ICAICT.2011.6110955. [95] S. H. Lytvynova, S. O. Semerikov, A. M. Striuk, M. I. Striuk, L. S. Kolgatina, V. Y. Velychko, I. S. Mintii, O. O. Kalinichenko, S. M. Tukalo, AREdu 2021 - Immersive technology today, CEUR Workshop Proceedings 2898 (2021) 1–40. [96] P. V. Zahorodko, S. O. Semerikov, V. N. Soloviev, A. M. Striuk, M. I. Striuk, H. M. Shalatska, Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience, Journal of Physics: Conference Series 1840 (2021) 012021. doi:10.1088/1742-6596/1840/1/012021. [97] F. Lin, A. Dewan, V. Voytenko, Open Interactive Algorithm Visualization, in: 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 2019, pp. 1–4. doi:10.1109/CCECE.2019.8861535. [98] V. Voytenko, V. Vodichev, A. Kalinin, Comparative Analysis of Energy Performance of Induction Single-Motor and Multi-Motor Traction Electric Drive, in: 2021 IEEE 2nd KhPI Week on Advanced Technology (KhPIWeek), 2021, pp. 73–78. doi:10.1109/KhPIWeek53812.2021.9570063. [99] D. A. Karnishyna, T. V. Selivanova, P. P. Nechypurenko, T. V. Starova, S. O. Semerikov, Enhancing high school students’ understanding of molecular geometry with augmented reality, Science Education Quarterly 1 (2024) 25–40. doi:10.55056/seq.818. [100] S. L. Malchenko, From smartphones to stargazing: the impact of mobile-enhanced learning on astronomy education, Science Education Quarterly 1 (2024) 1–7. doi:10.55056/seq.816. [101] O. A. Konoval, A relativistic approach to teaching electrodynamics: Deriving Maxwell’s equations from first principles, Science Education Quarterly 1 (2024) 41–102. doi:10.55056/seq.819. [102] P. P. Nechypurenko, S. O. Semerikov, Implementing an integrated natural sciences course in Ukrainian high schools: A nationwide experiment from 2018-2022, Science Education Quarterly 1 (2024) 8–13. doi:10.55056/seq.820. [103] P. P. Nechypurenko, O. D. Kushnirova, The rebirth of home chemistry experiments: An international perspective and the Ukrainian context, Science Education Quarterly 1 (2024) 103–108. doi:10.55056/seq.824. [104] I. A. Teplitsky, Broadening didactic resource of physics dictation, Science Education Quarterly 1 (2024) 14–24. doi:10.55056/seq.817.
URI (Уніфікований ідентифікатор ресурсу): https://ceur-ws.org/Vol-3917/paper00.pdf
http://ds.knu.edu.ua/jspui/handle/123456789/9261
ISSN: 1613-0073
Розташовується у зібраннях:Кафедра професійної та соціально-гуманітарної освіти

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