A5106330145- IoT Networks and Protocols
- Bluetooth and Wireless Communication Technologies
- IoT-based Smart Home Systems
- IoT and Edge/Fog Computing
- Context-Aware Activity Recognition Systems
- Brain Tumor Detection and Classification
- Water Quality Monitoring Technologies
- Radiomics and Machine Learning in Medical Imaging
- Air Quality Monitoring and Forecasting
- AI in cancer detection
University of West Attica
2024-2025
Water quality is crucial for public health, especially in areas with water scarcity, such as remote islands. Although reliable measuring devices are available, on-site manual testing, tanks, still necessary. In order to determine the of drinking water, a set measurements should be carried out automatically, at regular intervals and without delay, thus ensuring monitoring its suitability. this research work, an integrated low-cost system presented. The proposed consists stations information...
Manual intravenous (IV) monitoring delays, put patients at risk, as the reaction time of nursing staff can be critical to patient’s health. The widespread use LoRa networks today is a reality. deployment devices and applications based on in healthcare environments, such hospital facilities, great interest offer both savings for medical improvements care. In this work an integrated low-cost, real-time system fluid infusion network presented. measured (monitoring) data are weight flask number...
The intersection of medical image classification and deep learning has garnered increasing research interest, particularly in the context breast tumor detection using ultrasound images. Prior studies have predominantly focused on classification, segmentation, feature extraction, often assuming that input images, whether sourced from healthcare professionals or individuals, are valid relevant for analysis. To address this, we propose an initial binary filter to distinguish between irrelevant...