Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

A Diez-Olivan, J Del Ser, D Galar, B Sierra - Information Fusion, 2019 - Elsevier
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

Challenges and recommended technologies for the industrial internet of things: A comprehensive review

M Younan, EH Houssein, M Elhoseny, AA Ali - Measurement, 2020 - Elsevier
Physical world integration with cyber world opens the opportunity of creating smart
environments; this new paradigm is called the Internet of Things (IoT). Communication …

[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 …

Data reduction model for balancing indexing and securing resources in the internet-of-things applications

M Younan, M Elhoseny, AEMA Ali… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Evolution of the Internet of Things (IoT) makes a revolution in connecting, monitoring,
controlling, and managing things, objects, and almost surroundings through the Internet. To …

[HTML][HTML] Processing complex events in fog-based internet of things systems for smart agriculture

SF da Costa Bezerra, ASM Filho, FC Delicato… - Sensors, 2021 - mdpi.com
The recent growth of the Internet of Things' services and applications has increased data
processing and storage requirements. The Edge computing concept aims to leverage the …

[HTML][HTML] Performance analysis for similarity data fusion model for enabling time series indexing in internet of things applications

M Younan, EH Houssein, M Elhoseny, AE Ali - PeerJ Computer Science, 2021 - peerj.com
Abstract The Internet of Things (IoT) has penetrating all things and objects around us giving
them the ability to interact with the Internet, ie, things become Smart Things (SThs). As a …

Event-based kalman filtering exploiting correlated trigger information

B Noack, C Öhl, UD Hanebeck - 2022 25th International …, 2022 - ieeexplore.ieee.org
In networked estimation architectures, event-based sensing and communication can
contribute to a more efficient resource allocation in general, and improved utilization of …

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 a sustainable IoT with last-mile software deployment

R Dautov, H Song, N Ferry - 2021 IEEE Symposium on …, 2021 - ieeexplore.ieee.org
Billions of sensor-enabled IoT devices generate extreme amounts of e-waste. Because of
the low cost and short lifespan of electronic components, it is often more convenient for …

Three-level hierarchical data fusion through the IoT, edge, and cloud computing

R Dautov, S Distefano - Proceedings of the 1st International Conference …, 2017 - dl.acm.org
The Internet of Things (IoT) has embraced a'vertical'off-loading model, where avalanches of
raw data generated by numerous edge devices are continuously pushed through the …