doors 2025
5th Edge Computing Workshop

Table of Contents

• Preface 1-3
  Tetiana A. Vakaliuk, Serhiy O. Semerikov
  Summary: There were 28 papers submitted for peer-review to this workshop. Out of these, 13 papers were accepted for this volume, 9 as regular papers and 4 as short papers.

• Integration of edge devices and IoT to create a climate monitoring system for plants 4-19
  Nikita S. Prasol, Denys V. Furikhata, Tetiana A. Vakaliuk, Timothy Y. Regenel
• Regression analysis as a tool for identifying patterns in atmospheric air monitoring data 20-27
  Dmytro V. Shevchenko, Bella L. Holub
• GADGN: A dual graph convolutional architecture for traffic flow prediction 28-41
  Yanan Song, Siwei Wei, Donghua Liu
• EMTKD at the edge: An adaptive multi-teacher knowledge distillation for robust cardiac MRI classification 42-57
  Oleksandr Chaban, Eduard Manziuk, Olena Markevych, Sergii Petrovskyi, Pavlo Radiuk
• Scalable and reliable MQTT messaging: evaluating TBMQ for P2P scenarios 58-66
  Dmytro I. Shvaika, Andrii I. Shvaika, Dmytro I. Landiak, Volodymyr O. Artemchuk
• Review of modern tools for edge computing systems quality assurance 67-80
  Viktor O. Maliarskyi, Vasyl P. Oleksiuk
• An IoT-based system of mechanizing sport competition motion for perception improvement 81-96
  Vadim V. Romanuke, Serhii Y. Dementiev, Svitlana A. Yaremko
• Multi-UAV 3D path planning based on improved sparrow search algorithm 97-108
  Zhicheng Li, Xinlu Zong, Jiaxin Hao, Orest Kochan
• Some aspects of real-time image denoising influenced by shot noise and compound Poisson noise 109-117
  Oleg Kobylin, Oleksandra Putiatina
• Improved model for detecting randomly oriented objects on remote sensing images 118-126
  Ihor A. Pilkevych, Mykola P. Romanchuk, Olena M. Naumchak, Dmytro L. Fedorchuk, Leonid M. Naumchak
• Bayesian estimators-based microphone array speech enhancement in adverse environment 127-136
  Quan Trong The
• LLM on the edge: the new frontier 137-161
  Serhiy O. Semerikov, Tetiana A. Vakaliuk, Olga B. Kanevska, Mykhailo V. Moiseienko, Ivan I. Donchev, Andrii O. Kolhatin
• Studying the efficiency and performance of the vehicle detection method based on feature fusion and attention enhancement 162-177
  Ming Xue