Τhe outcomes of our research activities are reflected in a number of respective publications. See our most recent below or browse for conference articles, journal articles or book chapters.
Abstract The new-coming 5G network is considered to be one of the most significant innovations today. This is due to the opportunities that is going to provide to the vertical… Read More »Modelling 5G Cloud-Native Applications by Exploiting the Service Mesh Paradigm
Abstract One of the key challenges in the maritime industry refers to minimizing the time a vessel cannot be utilized, which has multiple effects. The latter is addressed through maintenance… Read More »Predictive maintenance leveraging machine learning for time-series forecasting in the maritime industry
Abstract Health Information Exchange (HIE) allows healthcare providers and citizens, to access and securely share healthcare information electronically, improving the speed, quality, safety, and cost of patient care. Exchange of… Read More »Improving Health Information Exchange through Wireless Communication Protocols
Abstract Nowadays, the use of Internet of Things (IoT) in various different fields has made significant progress, especially in the field of healthcare, where a myriad of heterogeneous medical data… Read More »Delivering Reliability of Data Sources in IoT Healthcare Ecosystems
Abstract Several application domains/sectors such as logistics, healthcare, industry and transportation, are exploiting the added value of deployed sensors to obtain information relevant to the domain and exploit it in… Read More »Enhanced Food Safety Through Deep Learning for Food Recalls Prediction
Abstract One of the main elements in several application domains, such as policy making, addresses the scope of public opinion analysis. The latter is recently realized through sentiment analysis and… Read More »An Evaluation of Neural Machine Translation and Word Embeddings in Multilingual Neural Sentiment Analysis
Abstract In recent years, there has been a lot of focus on how medical and health monitoring devices, clinical wearables and remote sensors can contribute to patients and healthcare systems.… Read More »An Innovative eHealth System Powered By 5G Network Slicing
Abstract Introduction: Healthcare information systems’ (HIS) lack of interoperability remains a challenge and a barrier for important health-related events detection. While relevant techniques are based on medical standards and technologies,… Read More »Interoperability Techniques in CrowdHEALTH project: The Terminology Service
Abstract Introduction: With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or… Read More »The CrowdHEALTH project and the Hollistic Health Records: Collective Wisdom Driving Public Health Policies
Abstract Internet of Things (IoT) has dramatically penetrated into today’s daily routine, with the number of new devices being growing exponentially, anticipating by year 2035 over one trillion of IoT… Read More »IoT Devices Recognition through Object Detection and Classification Techniques