http://hdl.handle.net/123456789/128 Fri, 15 May 2026 07:55:23 GMT 2026-05-15T07:55:23Z http://hdl.handle.net/123456789/21750 Title: AI-based monkeypox detection model using Raspberry Pi 5 AI Kit Authors: Свид, Ірина Вікторівна; Svyd, Iryna; Alaidi, Abdul Hadi M.; Ramadhan, Zamen Abood; Alrubaye, Jaafar Sadiq; ALRikabi, Haider TH. Salim; Mutar, Hussein A. Abstract: Monkeypox is a zoonotic disease that originated from monkeys and then spread to humans; this disease recently popped up globally with increased risks of spreading from human to human and clinical presentation similar to other pox-like diseases. Quick and right identification is fundamental for containment and treatment that will minimize the spread of the disease. The current conventional diagnostic techniques include PCR which takes time, and money, and often needs sophisticated laboratories that cannot be easily accessed in developing countries. This work describes the creation and application of a monkeypox detection algorithm orchestrated on the Raspberry Pi 5 AI Kit. Developed based on convolutional neural networks (CNNs), the model enables one to distinguish actual monkeypox lesions in the images. The Raspberry Pi 5 AI Kit allows for edge computing solutions to be implemented, making the entire solution mobile, affordable, and perfect for locations with low connectivity. Extensive data collection and data preprocessing were performed, and the final dataset with monkeypox and skin lesion images consisted of more than 5000 verified images. 94% accuracy was obtained by the model, making it superior to the model available in literature. The implementation proves that powerful AI technologies can be applied to low-cost hardware to become a valuable weapon in the monkeypox frontline workers’ arsenal and advance the efforts against monkeypox infections. Wed, 01 Jan 2025 00:00:00 GMT http://hdl.handle.net/123456789/21750 2025-01-01T00:00:00Z http://hdl.handle.net/123456789/21749 Title: Аналіз електронно-програмних платформ мобільного моніторингу стану здоров’я людини Authors: Свид, Ірина Вікторівна; Малярчук, Р. Д. Abstract: Today, telemedicine technologies are developing rapidly due to the rapid progress of information and communication technologies and the direct growth in such services due to globalized changes in society. The market for telemedicine electronic software platforms is actively developing, but has not yet reached universal solutions that can meet the needs of most consumers. There are large gaps in the quality-price direction regarding electronic software platforms. It is also necessary to pay great attention to cyber protection of sensitive data on human health in electronic software platforms. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/123456789/21749 2024-01-01T00:00:00Z http://hdl.handle.net/123456789/21748 Title: Аналіз електронно-програмних систем діагностики двигунів типу Common Rail Authors: Свид, Ірина Вікторівна; Єненко, В. В. Abstract: With the introduction of the Common Rail system, the diesel engine has significantly improved its performance - fuel consumption, engine noise and exhaust gas toxicity have decreased. The main advantage of this system is a wide range of adjustment of fuel pressure and injection start time, which are achieved by separating the pressure creation and injection processes. The study showed that despite the advantages, there are a number of issues that need improvement. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/123456789/21748 2024-01-01T00:00:00Z http://hdl.handle.net/123456789/21625 Title: Аналіз принципів побудови інтелектуальної система управління БПЛА на основі нейронної мережі Authors: Свид, Ірина Вікторівна; Крамар, О. А. Abstract: The conducted studies demonstrated the efficiency of the proposed approach to building an intelligent UAV control system based on a neural network in the presence of non-stationarity of the control object. Mon, 01 Jan 2024 00:00:00 GMT http://hdl.handle.net/123456789/21625 2024-01-01T00:00:00Z