[PDF][PDF] Internet of medical things (IoMT): acquiring and transforming data into HL7 FHIR through 5G network slicing

A Mavrogiorgou, A Kiourtis, M Touloupou… - Emerg. Sci …, 2019 - pdfs.semanticscholar.org
The Healthcare 4.0 era is surrounded by challenges varying from the Internet of Medical
Things (IoMT) devices' data collection, integration and interpretation. Several techniques …

Analyzing data and data sources towards a unified approach for ensuring end-to-end data and data sources quality in healthcare 4.0

A Mavrogiorgou, A Kiourtis, K Perakis… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Healthcare 4.0 is being hailed as the current industrial
revolution in the healthcare domain, dealing with billions of heterogeneous IoT data sources …

A conceptual architecture in decentralizing computing, storage, and networking aspect of IoT infrastructure

YE Oktian, EN Witanto, SG Lee - IoT, 2021 - mdpi.com
Since the inception of the Internet of Things (IoT), we have adopted centralized architecture
for decades. With the vastly growing number of IoT devices and gateways, this architecture …

[PDF][PDF] Effective malware detection approach based on deep learning in Cyber-Physical Systems

S Vaddadi, PR Arnepalli, R Thatikonda… - International Journal of …, 2022 - academia.edu
Cyber-physical Systems based on advanced networks interact with other networks through
wireless communication to enhance interoperability, dynamic mobility, and data …

Unsupervised learning for trustworthy IoT

N Banerjee, T Giannetsos… - … conference on fuzzy …, 2018 - ieeexplore.ieee.org
The advancement of Internet-of-Things (IoT) edge devices with various types of sensors
enables us to harness diverse information with Mobile Crowd-Sensing applications (MCS) …

A plug 'n'play approach for dynamic data acquisition from heterogeneous IoT medical devices of unknown nature

A Mavrogiorgou, A Kiourtis, D Kyriazis - Evolving Systems, 2020 - Springer
With the rapid development of Information Technology, the existence of Cyber-Physical
Systems (CPSs) has revealed, which are slowly emerging to dominate our world through …

Capturing the reliability of unknown devices in the IoT world

A Mavrogiorgou, A Kiourtis… - … on internet of things …, 2018 - ieeexplore.ieee.org
More than 50 billion devices are expected to be internet enabled by 2020, ranging from
wearable devices to sensors monitoring industrial processes. As a result, emerging back …

The road to the future of healthcare: Transmitting interoperable healthcare data through a 5G based communication platform

A Mavrogiorgou, A Kiourtis, M Touloupou… - … Systems: 15th European …, 2019 - Springer
Current devices and sensors have revolutionized our daily lives, with the healthcare domain
exploring and adapting new technologies. The rapid explosion of digital healthcare …

A comparative study of ML algorithms for scenario-agnostic predictions in healthcare

A Mavrogiorgou, S Kleftakis… - … IEEE Symposium on …, 2022 - ieeexplore.ieee.org
The extraction of useful knowledge from collected data has always been the holy grail for
enterprises and researchers, supporting efficient decision making, provided service's …

Device recognition assistants as additional data management method for Digital Twins

S Dittmann, MP Mathieu, P Zhang, A Glodde… - CIRP Journal of …, 2024 - Elsevier
Reusing shopfloor data within Digital Twins offers the potential to optimize manufacturing-,
production planning-, and engineering processes. Reusing data is only possible if the data …