A neutrosophic set approach on chest X-rays for automatic lung infection detection
JS Jennifer, TS Sharmila - Information Technology and Control, 2023 - itc.ktu.lt
COVID cases and its variants is noted enormously in the past three years. In many medical
cases, lung infections such as viral pneumonia, bacterial pneumonia have been initially …
cases, lung infections such as viral pneumonia, bacterial pneumonia have been initially …
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation
The data-driven fault diagnostic methods have made significant advances and
breakthroughs in the past decades. However, due to the huge time and labor costs, single …
breakthroughs in the past decades. However, due to the huge time and labor costs, single …
A novel federated transfer learning framework for intelligent diagnosis of insulation defects in gas-insulated switchgear
Deep learning-driven diagnostic methods have shown significant ability to diagnose certain
types of insulation defects. However, for these methods to achieve excellent results, it is …
types of insulation defects. However, for these methods to achieve excellent results, it is …
Federated learning with network pruning and rebirth for remaining useful life prediction of engineering systems
X Chen, X Chen, H Wang, S Lu, R Yan - Manufacturing Letters, 2023 - Elsevier
Remaining useful life (RUL) prediction has achieved considerable success through
centralized learning methods. However, traditional data aggregation may cause privacy …
centralized learning methods. However, traditional data aggregation may cause privacy …
[HTML][HTML] Internet of Things: Development intelligent programmable IoT controller for emerging industry applications
TA Chen, SC Chen, W Tang, BT Chen - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become critical to the implementation of Industry 4.0. The
successful operation of smart manufacturing depends on the ability to connect everything …
successful operation of smart manufacturing depends on the ability to connect everything …
Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis
Operators from various industries have been pushing the adoption of wireless sensing
nodes for industrial monitoring, and such efforts have produced sizeable condition …
nodes for industrial monitoring, and such efforts have produced sizeable condition …
From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods
Owing to recent advancements in sensor technology, data mining, Machine Learning (ML)
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …
An improved data privacy diagnostic framework for multiple machinery components data based on swarm learning algorithm
The continuous operation of the equipment degrades the performance of the critical parts,
which can cause the equipment to fail and stop at a particular and unexpected moment …
which can cause the equipment to fail and stop at a particular and unexpected moment …
Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift
Recently, federated fault diagnosis has garnered growing attention due to its promising
capabilities in information fusion with privacy preservation. However, most of the existing …
capabilities in information fusion with privacy preservation. However, most of the existing …
[HTML][HTML] Intelligent robust cross-domain fault diagnostic method for rotating machines using noisy condition labels
Cross-domain fault diagnosis methods have been successfully and widely developed in the
past years, which focus on practical industrial scenarios with training and testing data from …
past years, which focus on practical industrial scenarios with training and testing data from …