Browsing Publikasjoner fra CRIStin by Journals "IEEE Internet of Things Journal"
Now showing items 1-6 of 6
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Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants
(Peer reviewed; Journal article, 2024)This work proposes a data fusion approach for quickest fault detection and localization within industrial plants via wireless sensor networks. Two approaches are proposed, each exploiting different network architectures. ... -
Distributed Detection in Wireless Sensor Networks under Multiplicative Fading via Generalized Score-tests
(Peer reviewed; Journal article, 2021)In this paper, we address the problem of distributed detection of a non-cooperative (unknown emitted signal) target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic ... -
Emergent Deep Learning for Anomaly Detection in Internet of Everything
(Peer reviewed; Journal article, 2021)This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect ... -
Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things
(Peer reviewed; Journal article, 2021)This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ... -
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
(Peer reviewed; Journal article, 2023)With the advent of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) algorithms, the landscape of data-driven medical applications has emerged as a promising avenue ... -
Real-Time Performance of Industrial IoT Communication Technologies: A Review
(Peer reviewed; Journal article, 2023)With the growing need for automation and the ongoing merge of OT and IT, industrial networks have to transport a high amount of heterogeneous data with mixed criticality such as control traffic, sensor data, and configuration ...