Saved in:
| Main Authors: | Risca, Diogo, Lourenço, Afonso, Marreiros, Goreti |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.10151 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Boosting-inspired online learning with transfer for railway maintenance
by: Risca, Diogo, et al.
Published: (2025)
by: Risca, Diogo, et al.
Published: (2025)
Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring
by: Lourenço, Afonso, et al.
Published: (2026)
by: Lourenço, Afonso, et al.
Published: (2026)
Explainable Anomaly Detection for Industrial IoT Data Streams
by: Paupério, Ana Rita, et al.
Published: (2025)
by: Paupério, Ana Rita, et al.
Published: (2025)
On-device edge learning for IoT data streams: a survey
by: Lourenço, Afonso, et al.
Published: (2025)
by: Lourenço, Afonso, et al.
Published: (2025)
Bridging Streaming Continual Learning via In-Context Large Tabular Models
by: Lourenço, Afonso, et al.
Published: (2025)
by: Lourenço, Afonso, et al.
Published: (2025)
Online hierarchical partitioning of the output space in extreme multi-label data stream
by: Neves, Lara, et al.
Published: (2025)
by: Neves, Lara, et al.
Published: (2025)
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
by: Lourenço, Afonso, et al.
Published: (2025)
by: Lourenço, Afonso, et al.
Published: (2025)
In-context Learning of Evolving Data Streams with Tabular Foundational Models
by: Lourenço, Afonso, et al.
Published: (2025)
by: Lourenço, Afonso, et al.
Published: (2025)
Pitfalls of Unlabeled Disagreement-Based Drift Detection in Streaming Tree Ensembles
by: Neves, Lara Sá, et al.
Published: (2026)
by: Neves, Lara Sá, et al.
Published: (2026)
Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty
by: Jalayer, Reza, et al.
Published: (2024)
by: Jalayer, Reza, et al.
Published: (2024)
Source-free domain adaptation based on label reliability for cross-domain bearing fault diagnosis
by: Wu, Wenyi, et al.
Published: (2025)
by: Wu, Wenyi, et al.
Published: (2025)
Towards a more realistic evaluation of machine learning models for bearing fault diagnosis
by: Vieira, João Paulo, et al.
Published: (2025)
by: Vieira, João Paulo, et al.
Published: (2025)
Dynamic fault detection and diagnosis of industrial alkaline water electrolyzer process with variational Bayesian dictionary learning
by: Zhang, Qi, et al.
Published: (2024)
by: Zhang, Qi, et al.
Published: (2024)
Dual adversarial and contrastive network for single-source domain generalization in fault diagnosis
by: Li, Guangqiang, et al.
Published: (2024)
by: Li, Guangqiang, et al.
Published: (2024)
A domain adaptation neural network for digital twin-supported fault diagnosis
by: Chen, Zhenling, et al.
Published: (2025)
by: Chen, Zhenling, et al.
Published: (2025)
Approximation by non-symmetric networks for cross-domain learning
by: Mhaskar, Hrushikesh
Published: (2023)
by: Mhaskar, Hrushikesh
Published: (2023)
FedIFL: A federated cross-domain diagnostic framework for motor-driven systems with inconsistent fault modes
by: Wang, Zexiao, et al.
Published: (2025)
by: Wang, Zexiao, et al.
Published: (2025)
Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach
by: Pernes, Diogo, et al.
Published: (2024)
by: Pernes, Diogo, et al.
Published: (2024)
A Correction for the Paper "Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis"
by: Zhang, Hong-Yan, et al.
Published: (2025)
by: Zhang, Hong-Yan, et al.
Published: (2025)
Understanding the learned look-ahead behavior of chess neural networks
by: Cruz, Diogo
Published: (2025)
by: Cruz, Diogo
Published: (2025)
Advancing machine fault diagnosis: A detailed examination of convolutional neural networks
by: Vashishtha, Govind, et al.
Published: (2025)
by: Vashishtha, Govind, et al.
Published: (2025)
Importance inversion transfer identifies shared principles for cross-domain learning
by: Caligiore, Daniele
Published: (2026)
by: Caligiore, Daniele
Published: (2026)
FairDD: Enhancing Fairness with domain-incremental learning in dermatological disease diagnosis
by: Luo, Yiqin, et al.
Published: (2024)
by: Luo, Yiqin, et al.
Published: (2024)
Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems
by: Vitale, Francesco, et al.
Published: (2025)
by: Vitale, Francesco, et al.
Published: (2025)
RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains
by: Mousavi, Sepehr, et al.
Published: (2025)
by: Mousavi, Sepehr, et al.
Published: (2025)
Intelligent fault diagnosis of machinery based on hybrid deep learning with multi temporal correlation feature fusion
by: Yaqiong Lv, et al.
Published: (2024)
by: Yaqiong Lv, et al.
Published: (2024)
Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network
by: Kozlenko, Mykola, et al.
Published: (2025)
by: Kozlenko, Mykola, et al.
Published: (2025)
Logic-informed reinforcement learning for cross-domain optimization of large-scale cyber-physical systems
by: Wan, Guangxi, et al.
Published: (2025)
by: Wan, Guangxi, et al.
Published: (2025)
Deep learning-based fault identification in condition monitoring
by: Dhungana, Hariom, et al.
Published: (2024)
by: Dhungana, Hariom, et al.
Published: (2024)
A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains
by: Meng, Qinglu, et al.
Published: (2024)
by: Meng, Qinglu, et al.
Published: (2024)
AIDetx: a compression-based method for identification of machine-learning generated text
by: Almeida, Leonardo, et al.
Published: (2024)
by: Almeida, Leonardo, et al.
Published: (2024)
The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature
by: Li, Yuyan
Published: (2023)
by: Li, Yuyan
Published: (2023)
FE-MCFormer: An interpretable fault diagnosis framework for rotating machinery under strong noise based on time-frequency fusion transformer
by: Yuan, Yuhan, et al.
Published: (2025)
by: Yuan, Yuhan, et al.
Published: (2025)
Using machine learning for fault detection in lighthouse light sensors
by: Kampouridis, Michael, et al.
Published: (2024)
by: Kampouridis, Michael, et al.
Published: (2024)
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
by: Yamazaki, Yusuke, et al.
Published: (2024)
by: Yamazaki, Yusuke, et al.
Published: (2024)
Continual learning under domain transfer with sparse synaptic bursting
by: Beaulieu, Shawn L., et al.
Published: (2021)
by: Beaulieu, Shawn L., et al.
Published: (2021)
Research on an intelligent fault diagnosis method for nuclear power plants based on ETCN-SSA combined algorithm
by: Fang, Jiayan, et al.
Published: (2024)
by: Fang, Jiayan, et al.
Published: (2024)
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
by: Zhou, Maoxuan, et al.
Published: (2024)
by: Zhou, Maoxuan, et al.
Published: (2024)
Transformer learns the cross-task prior and regularization for in-context learning
by: Lu, Fei, et al.
Published: (2025)
by: Lu, Fei, et al.
Published: (2025)
Three-layer deep learning network random trees for fault detection in chemical production process
by: Lu, Ming, et al.
Published: (2024)
by: Lu, Ming, et al.
Published: (2024)
Similar Items
-
Boosting-inspired online learning with transfer for railway maintenance
by: Risca, Diogo, et al.
Published: (2025) -
Axle Sensor Fusion for Online Continual Wheel Fault Detection in Wayside Railway Monitoring
by: Lourenço, Afonso, et al.
Published: (2026) -
Explainable Anomaly Detection for Industrial IoT Data Streams
by: Paupério, Ana Rita, et al.
Published: (2025) -
On-device edge learning for IoT data streams: a survey
by: Lourenço, Afonso, et al.
Published: (2025) -
Bridging Streaming Continual Learning via In-Context Large Tabular Models
by: Lourenço, Afonso, et al.
Published: (2025)