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Назва: Preface
Автори: Vakaliuk, Tetiana A.
Semerikov, Serhiy O.
Ключові слова: edge computing
Internet of Things (IoT)
distributed computing
signal processing
MQTT messaging
Real-time applications
Дата публікації: 14-бер-2025
Видавництво: CEUR Workshop Proceedings
Бібліографічний опис: Preface / Tetiana A. Vakaliuk, Serhiy O. Semerikov // Proceedings of the 5th Edge Computing Workshop (doors 2025), Zhytomyr, Ukraine, April 4, 2025 / Edited by: Tetiana A. Vakaliuk, Serhiy O. Semerikov // CEUR Workshop Proceedings. – 2025. – Vol. 3943. – P. 1-3. – Access mode : https://ceur-ws.org/Vol-3943/preface.pdf DOI: https://dx.doi.org/10.55056/ceur-ws.org/Vol-3943/preface.pdf
Короткий огляд (реферат): The 5th Edge Computing Workshop (doors 2025) is a peer-reviewed international edge computing event organized by Zhytomyr Polytechnic State University and the Academy of Cognitive and Natural Sciences. This workshop brings together researchers, academics, and industry practitioners to explore advancements in edge computing. In this distributed computing paradigm, computation and data storage are performed closer to the location where they are needed. The 2025 edition covers a diverse range of topics, including environmental monitoring systems, quality assurance for edge systems, integration of IoT with edge devices, advanced AI techniques, signal and image processing challenges, and messaging protocols for IoT systems. The workshop emphasizes theoretical research and practical implementations to identify emerging trends and innovative solutions in edge computing, which is increasingly vital due to the rise of the Internet of Things (IoT) and its demands for low latency, enhanced privacy, and real-time responsiveness.
Опис: [1] N. S. Prasol, D. V. Furikhata, T. A. Vakaliuk, T. Y. Regenel, Integration of edge devices and IoT to create a climate monitoring system for plants, CEUR Workshop Proceedings (2025) 4–19. [2] D. V. Shevchenko, B. L. Holub, Regression analysis as a tool for identifying patterns in atmospheric air monitoring data, CEUR Workshop Proceedings (2025) 20–27. [3] V. O. Maliarskyi, V. P. Oleksiuk, Review of modern tools for edge computing systems quality assurance, CEUR Workshop Proceedings (2025) 67–80. [4] O. Chaban, E. Manziuk, O. Markevych, S. Petrovskyi, P. Radiuk, EMTKD at the edge: An adaptive multi-teacher knowledge distillation for robust cardiac MRI classification, CEUR Workshop Proceedings (2025) 42–57. [5] S. O. Semerikov, T. A. Vakaliuk, O. B. Kanevska, M. V. Moiseienko, I. I. Donchev, A. O. Kolhatin, LLM on the edge: the new frontier, CEUR Workshop Proceedings (2025) 137–161. [6] V. V. Romanuke, S. Y. Dementiev, S. A. Yaremko, An IoT-based system of mechanizing sport competition motion for perception improvement, CEUR Workshop Proceedings (2025) 81–96. [7] Y. Song, S. Wei, D. Liu, GADGN: A dual graph convolutional architecture for traffic flow prediction, CEUR Workshop Proceedings (2025) 28–41. [8] Z. Li, X. Zong, J. Hao, O. Kochan, Multi-UAV 3D path planning based on improved sparrow search algorithm, CEUR Workshop Proceedings (2025) 97–108. [9] M. Xue, Studying the efficiency and performance of the vehicle detection method based on feature fusion and attention enhancement, CEUR Workshop Proceedings (2025) 162–177. [10] I. A. Pilkevych, M. P. Romanchuk, O. M. Naumchak, D. L. Fedorchuk, L. M. Naumchak, Improved model for detecting randomly oriented objects on remote sensing images, CEUR Workshop Proceedings (2025) 118–126. [11] Q. T. The, Bayesian estimators-based microphone array speech enhancement in adverse environment, CEUR Workshop Proceedings (2025) 127–136. [12] O. Kobylin, O. Putiatina, Some aspects of real-time image denoising influenced by shot noise and compound Poisson noise, CEUR Workshop Proceedings (2025) 109–117. [13] D. I. Shvaika, A. I. Shvaika, D. I. Landiak, V. O. Artemchuk, Scalable and reliable MQTT messaging: evaluating TBMQ for P2P scenarios, CEUR Workshop Proceedings (2025) 58–66.
URI (Уніфікований ідентифікатор ресурсу): https://ceur-ws.org/Vol-3943/preface.pdf
http://ds.knu.edu.ua/jspui/handle/123456789/9267
ISSN: 1613-0073
Розташовується у зібраннях:Кафедра професійної та соціально-гуманітарної освіти

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