eONPUIR

2025, Vol. 8, № 1

2025, Vol. 8, № 1

 

Последние добавления

  • Patient location tracking method for virtual escort systems in healthcare facilities 
    Lysenko, Maksym S.; Лисенко, Максим Сергійович; Lobanchykova, Nadiia M.; Лобанчикова, Надія Миколаївна (Odessа Polytechnic National University, 2025-04-04)
    This article proposes a hybrid patient location tracking method for virtual escort systems in healthcare facilities. To ensure the required positioning accuracy and seamless navigation, that are particularly important for ...
  • Representation-based ECG signal prediction for neural networks pre-training 
    Stavychenko, Serhii G.; Ставиченко, Сергій Григорович; Filatova, Anna E.; Філатова, Ганна Євгенівна (Odessа Polytechnic National University, 2025-04-04)
    A limited amount of training data is a well-known challenge in the application of deep learning methods. This issue is particularly relevant in biomedical signal processing, such as the analysis of electrocardiograms, due ...
  • The intelligent information technology for construction waste analysis and management 
    Arsirii, Olena O.; Арсірій, Олена Олександрівна; Cudecka-Purina, Natalija; Цудечка-Пуріня, Наталія; Ivanov, Oleksii V.; Іванов, Олексій Володимирович; Bieliaiev, Kyrylo O.; Бєляєв, Кирило Олександрович (Odessа Polytechnic National University, 2025-04-04)
    In modern conditions of increasing the amount of waste generated during construction, demolition, repair or reconstruction of facilities, the problem of analysis and management of this waste is becoming increasingly ...
  • Virtually unlimited sharding for scalable distributed ledgers 
    Grybniak, Sergii S.; Грибняк, Сергій Сергійович; Leonchyk, Yevhen Y.; Леончик, Євген Юрійович; Mazurok, Igor Y.; Мазурок, Ігор Євгенович; Nashyvan, Oleksandr S.; Нашиван, Олександр Сергійович; Shanin, Ruslan V.; Шанін, Руслан Васильович; Vorokhta, Alisa Y.; Ворохта, Аліса Юріївна (Odessа Polytechnic National University, 2025-04-04)
    This paper presents an approach to improving the scalability of the decentralized smart contract platform Waterfall, based on the concept of hierarchical fractal sharding. Although distributed ledger technology holds ...
  • Improved segmentation model to identify object instances based on textual prompts 
    Mashtalir, Sergii V.; Машталір, Сергій Володимирович; Kovtunenko, Andrii R.; Ковтуненко, Андрій Романович (Odessа Polytechnic National University, 2025-04-04)
    The rapidly increasing amount of multimedia information requires significant methods development for its rapid processing. In this case, one of the areas of processing is preliminary analysis with the images characteristic ...
  • Using deep neural networks for image denoising in hardware-limited environments 
    Sheremet, Oleksii I.; Шеремет, Олексій Іванович; Sadovoi, Oleksandr V.; Садовой, Олександр Валентинович; Sheremet, Kateryna S.; Шеремет, Катерина Сергіївна; Sokhina, Yuliia V.; Сохіна, Юлія Віталіївна (Odessа Polytechnic National University, 2025-04-04)
    Image denoising remains a vital topic in digital image processing, as it aims to recover visually clear content from observations compromised by random fluctuations. This article provides an overview of advanced deep ...
  • Partitioning the data space before applying hashing using clustering algorithms 
    Subbotin, Sergey A.; Субботін, Сергій Олександрович; Shmalko, Fedir А.; Шмалько, Федір Анатолійович (Odessа Polytechnic National University, 2025-04-04)
    This research presents a locality-sensitive hashing framework that enhances approximate nearest neighbor search efficiency by integrating adaptive encoding trees and BERT-based clusterization. The proposed method optimizes ...
  • Methods of filtering and regression for forecasting noisy timeseries based on machine learning 
    Volovetskyi, Oleksandr O.; Воловецький, Олександр Остапович (Odessа Polytechnic National University, 2025-04-04)
    Predicting parameters in industrial processes is significantly complicated by the presence of noise in sequential measurements, which reduces the effectiveness of technological process control. The aim of the research is ...