A Hybrid Intelligent Framework for Uncertainty-Aware Condition Monitoring of Industrial Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Ahang, Maryam, Charter, Todd, Jalayer, Masoud, Najjaran, Homayoun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
by: Ahang, Maryam, et al.
Published: (2024)
by: Ahang, Maryam, et al.
Published: (2024)
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
by: Ahang, Maryam, et al.
Published: (2024)
by: Ahang, Maryam, et al.
Published: (2024)
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
by: Khadivi, Maziyar, et al.
Published: (2023)
by: Khadivi, Maziyar, et al.
Published: (2023)
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
by: Ahang, Maryam, et al.
Published: (2022)
by: Ahang, Maryam, et al.
Published: (2022)
An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
by: Zare, Hadi, et al.
Published: (2025)
by: Zare, Hadi, et al.
Published: (2025)
An Innovative Data-Driven and Adaptive Reinforcement Learning Approach for Context-Aware Prescriptive Process Monitoring
by: Abbasi, Mostafa, et al.
Published: (2025)
by: Abbasi, Mostafa, et al.
Published: (2025)
Enabling Unsupervised Training of Deep EEG Denoisers With Intelligent Partitioning
by: Rao, Qiyu, et al.
Published: (2026)
by: Rao, Qiyu, et al.
Published: (2026)
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
by: Ghamisi, Assef, et al.
Published: (2023)
by: Ghamisi, Assef, et al.
Published: (2023)
A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems
by: Yang, Xiaoke, et al.
Published: (2026)
by: Yang, Xiaoke, et al.
Published: (2026)
A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
by: Tong, Shuo, et al.
Published: (2025)
by: Tong, Shuo, et al.
Published: (2025)
A Fairness-Aware Strategy for B5G Physical-layer Security Leveraging Reconfigurable Intelligent Surfaces
by: Pierron, Alex, et al.
Published: (2025)
by: Pierron, Alex, et al.
Published: (2025)
A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems
by: Rabiee, Ali, et al.
Published: (2024)
by: Rabiee, Ali, et al.
Published: (2024)
An Accurate and Interpretable Framework for Trustworthy Process Monitoring
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
by: Kweon, Young-Seok, et al.
Published: (2025)
by: Kweon, Young-Seok, et al.
Published: (2025)
Towards a Foundation Model for Communication Systems
by: Buffelli, Davide, et al.
Published: (2025)
by: Buffelli, Davide, et al.
Published: (2025)
Classifier-Free Diffusion-Based Weakly-Supervised Approach for Health Indicator Derivation in Rotating Machines: Advancing Early Fault Detection and Condition Monitoring
by: Hu, Wenyang, et al.
Published: (2024)
by: Hu, Wenyang, et al.
Published: (2024)
Multi-View Wireless Sensing via Conditional Generative Learning: Framework and Model Design
by: Xing, Ziqing, et al.
Published: (2025)
by: Xing, Ziqing, et al.
Published: (2025)
Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models
by: Bozkurt, Ecem, et al.
Published: (2025)
by: Bozkurt, Ecem, et al.
Published: (2025)
Hybrid Deep Learning Framework for CSI-Based Activity Recognition in Bandwidth-Constrained Wi-Fi Sensing
by: Fernandes, Alison M., et al.
Published: (2026)
by: Fernandes, Alison M., et al.
Published: (2026)
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
by: Lee, Cheol-Hui, et al.
Published: (2025)
by: Lee, Cheol-Hui, et al.
Published: (2025)
HyPer-EP: Meta-Learning Hybrid Personalized Models for Cardiac Electrophysiology
by: Jiang, Xiajun, et al.
Published: (2024)
by: Jiang, Xiajun, et al.
Published: (2024)
CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention
by: Chen, Mufeng, et al.
Published: (2026)
by: Chen, Mufeng, et al.
Published: (2026)
UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach
by: Gruzewska, Elzbieta, et al.
Published: (2025)
by: Gruzewska, Elzbieta, et al.
Published: (2025)
EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding
by: Sarkar, Shantanu, et al.
Published: (2025)
by: Sarkar, Shantanu, et al.
Published: (2025)
Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things
by: Niresi, Keivan Faghih, et al.
Published: (2024)
by: Niresi, Keivan Faghih, et al.
Published: (2024)
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis
by: Gkillas, Alexandros, et al.
Published: (2024)
by: Gkillas, Alexandros, et al.
Published: (2024)
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments
by: Ninkovic, Vukan, et al.
Published: (2024)
by: Ninkovic, Vukan, et al.
Published: (2024)
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
by: Chen, Yan, et al.
Published: (2024)
by: Chen, Yan, et al.
Published: (2024)
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring
by: Xue, Junyu, et al.
Published: (2025)
by: Xue, Junyu, et al.
Published: (2025)
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024)
by: Kobayashi, Kazuma, et al.
Published: (2024)
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning
by: Batu, Buren, et al.
Published: (2024)
by: Batu, Buren, et al.
Published: (2024)
Intelligent Algorithms For Signature Diagnostics Of Three-Phase Motors
by: Svirin, Stepan, et al.
Published: (2024)
by: Svirin, Stepan, et al.
Published: (2024)
A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024)
by: Wang, Yiye, et al.
Published: (2024)
A mathematical model for simultaneous personnel shift planning and unrelated parallel machine scheduling
by: Khadivi, Maziyar, et al.
Published: (2024)
by: Khadivi, Maziyar, et al.
Published: (2024)
A Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation
by: Liu, Hangxu, et al.
Published: (2025)
by: Liu, Hangxu, et al.
Published: (2025)
Near-Field Spot Beamfocusing: A Correlation-Aware Transfer Learning Approach
by: Fallah, Mohammad Amir, et al.
Published: (2024)
by: Fallah, Mohammad Amir, et al.
Published: (2024)
Multimodal Bearing Fault Classification Under Variable Conditions: A 1D CNN with Transfer Learning
by: Alam, Tasfiq E., et al.
Published: (2025)
by: Alam, Tasfiq E., et al.
Published: (2025)
Deep Learning Based Tool Wear Estimation Considering Cutting Conditions
by: Li, Zongshuo, et al.
Published: (2024)
by: Li, Zongshuo, et al.
Published: (2024)
Approaching Low-Cost Cardiac Intelligence with Semi-Supervised Knowledge Distillation
by: Zhou, Rushuang, et al.
Published: (2025)
by: Zhou, Rushuang, et al.
Published: (2025)
Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces
by: Wang, Jiyuan, et al.
Published: (2025)
by: Wang, Jiyuan, et al.
Published: (2025)
Similar Items
-
Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
by: Ahang, Maryam, et al.
Published: (2024) -
Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
by: Ahang, Maryam, et al.
Published: (2024) -
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
by: Khadivi, Maziyar, et al.
Published: (2023) -
Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
by: Ahang, Maryam, et al.
Published: (2022) -
An Innovative Next Activity Prediction Using Process Entropy and Dynamic Attribute-Wise-Transformer in Predictive Business Process Monitoring
by: Zare, Hadi, et al.
Published: (2025)