Edge-computing-driven internet of things: A survey

L Kong, J Tan, J Huang, G Chen, S Wang, X Jin… - ACM Computing …, 2022 - dl.acm.org
The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

[HTML][HTML] Hierarchical data fusion for smart healthcare

R Dautov, S Distefano, R Buyya - Journal of Big Data, 2019 - Springer
Abstract The Internet of Things (IoT) facilitates creation of smart spaces by converting
existing environments into sensor-rich data-centric cyber-physical systems with an …

[HTML][HTML] The Spatiotemporal Data Fusion (STDF) approach: IoT-based data fusion using big data analytics

D Fawzy, S Moussa, N Badr - Sensors, 2021 - mdpi.com
Enormous heterogeneous sensory data are generated in the Internet of Things (IoT) for
various applications. These big data are characterized by additional features related to IoT …

Machine learning for fatigue detection using Fitbit fitness trackers

EJ Husom, R Dautov… - Proceedings of the …, 2022 - sintef.brage.unit.no
Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related
incidents. Fatigue detection has been traditionally performed in lab conditions with …

Design of smart home system based on collaborative edge computing and cloud computing

Q Ma, H Huang, W Zhang, M Qiu - … , ICA3PP 2020, New York City, NY …, 2020 - Springer
With the rapid development of the Internet, more and more smart devices are beginning to
enter people's daily lives. The intelligentization of home appliances has gradually become a …

Exploring the role of sports APP in (campus fitness) intelligent solutions using data fusion algorithm and internet of things

C Zhu - International Journal of Grid and Utility Computing, 2022 - inderscienceonline.com
The purposes are to study how the multi-sensor Internet of Things (IoT) data fusion algorithm
calculates in data fusion systems and improves the systems' fusion efficiency. An improved …

Bridging the gap between java and python in mobile software development to enable mlops

R Dautov, EJ Husom, F Gonidis… - … on Wireless and …, 2022 - ieeexplore.ieee.org
The role of Machine Learning (ML) engineers in mobile development has become
increasingly important in recent years, as more and more business-critical mobile …

Towards MLOps in Mobile Development with a Plug-in Architecture for Data Analytics

R Dautov, EJ Husom, F Gonidis - 2022 6th International …, 2022 - ieeexplore.ieee.org
Smartphones are increasingly used as universal IoT gateways collecting data from
connected sensors in a wide range of industrial applications. With the increasing computing …

[PDF][PDF] Review of Edge Computing for the Internet of Things (EC-IoT): Techniques, Challenges and Future Directions

MA Al-Shareeda, L Yue, S Manickam - J Sen Net Data Comm, 2024 - opastpublishers.com
The volume of edge data has reached ZB level, placing enormous strain on the core network
bandwidth due to the rapid development of contemporary technology and the quick …

Virtual Sensor Middleware: Managing IoT Data for the Fog-Cloud Platform

F AlMahamid, H Lutfiyya… - 2022 IEEE Canadian …, 2022 - ieeexplore.ieee.org
This paper introduces the Virtual Sensor Middleware (VSM), which facilitates distributed
sensor data processing on multiple fog nodes. VSM uses a Virtual Sensor as the core …