Saved in:
| Main Authors: | Razzaq, Waleed, Zhao, Yun-Bo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.06708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
by: Razzaq, Waleed, et al.
Published: (2025)
by: Razzaq, Waleed, et al.
Published: (2025)
Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
by: Razzaq, Waleed, et al.
Published: (2025)
by: Razzaq, Waleed, et al.
Published: (2025)
FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning
by: Razzaq, Waleed, et al.
Published: (2026)
by: Razzaq, Waleed, et al.
Published: (2026)
Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning
by: Razzaq, Waleed, et al.
Published: (2026)
by: Razzaq, Waleed, et al.
Published: (2026)
BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction
by: Zhang, Zekai, et al.
Published: (2025)
by: Zhang, Zekai, et al.
Published: (2025)
A Novel Preprocessing-Driven Approach to Remaining Useful Life (RUL) Prediction Using Temporal Convolutional Networks (TCN)
by: Imbert, Florent, et al.
Published: (2026)
by: Imbert, Florent, et al.
Published: (2026)
Neuronal Attention Circuit (NAC) for Representation Learning
by: Razzaq, Waleed, et al.
Published: (2025)
by: Razzaq, Waleed, et al.
Published: (2025)
Turbofan Engine Remaining Useful Life (RUL) Prediction Based on Bi-Directional Long Short-Term Memory (BLSTM)
by: Sherifi, Abedin
Published: (2024)
by: Sherifi, Abedin
Published: (2024)
CNN-LSTM Hybrid Deep Learning Model for Remaining Useful Life Estimation
by: G, Muthukumar, et al.
Published: (2024)
by: G, Muthukumar, et al.
Published: (2024)
A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models
by: Frizzo, Davide, et al.
Published: (2025)
by: Frizzo, Davide, et al.
Published: (2025)
Automated Machine Learning for Remaining Useful Life Predictions
by: Zöller, Marc-André, et al.
Published: (2023)
by: Zöller, Marc-André, et al.
Published: (2023)
Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)
HyBattNet: Hybrid Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
by: Hou, Yubo, et al.
Published: (2026)
by: Hou, Yubo, et al.
Published: (2026)
A Multi-Task Targeted Learning Framework for Lithium-Ion Battery State-of-Health and Remaining Useful Life
by: Wang, Chenhan, et al.
Published: (2026)
by: Wang, Chenhan, et al.
Published: (2026)
A Multi-Granularity Supervised Contrastive Framework for Remaining Useful Life Prediction of Aero-engines
by: He, Zixuan, et al.
Published: (2024)
by: He, Zixuan, et al.
Published: (2024)
Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
by: Sharma, Krishang
Published: (2025)
by: Sharma, Krishang
Published: (2025)
Survival Analysis with Machine Learning for Predicting Li-ion Battery Remaining Useful Life
by: Xue, Jingyuan, et al.
Published: (2025)
by: Xue, Jingyuan, et al.
Published: (2025)
Supervised Contrastive Learning based Dual-Mixer Model for Remaining Useful Life Prediction
by: Fu, En, et al.
Published: (2024)
by: Fu, En, et al.
Published: (2024)
A Change Point Detection Integrated Remaining Useful Life Estimation Model under Variable Operating Conditions
by: Arunan, Anushiya, et al.
Published: (2024)
by: Arunan, Anushiya, et al.
Published: (2024)
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction
by: Ye, Guangzai, et al.
Published: (2024)
by: Ye, Guangzai, et al.
Published: (2024)
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2024)
by: Wang, Yucheng, et al.
Published: (2024)
Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2025)
by: Wang, Yucheng, et al.
Published: (2025)
Multiscale Dual-path Feature Aggregation Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
by: Lv, Zihao, et al.
Published: (2025)
by: Lv, Zihao, et al.
Published: (2025)
Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction
by: Chirukiri, Varun Teja, et al.
Published: (2025)
by: Chirukiri, Varun Teja, et al.
Published: (2025)
PEFT-MuTS: A Multivariate Parameter-Efficient Fine-Tuning Framework for Remaining Useful Life Prediction based on Cross-domain Time Series Representation Model
by: Fu, En, et al.
Published: (2026)
by: Fu, En, et al.
Published: (2026)
Fed-Joint: Joint Modeling of Nonlinear Degradation Signals and Failure Events for Remaining Useful Life Prediction using Federated Learning
by: Jeong, Cheoljoon, et al.
Published: (2025)
by: Jeong, Cheoljoon, et al.
Published: (2025)
Hybrid Gaussian Process Regression with Temporal Feature Extraction for Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics
by: Niu, Tian, et al.
Published: (2024)
by: Niu, Tian, et al.
Published: (2024)
Remaining Useful Life Prediction for Batteries Utilizing an Explainable AI Approach with a Predictive Application for Decision-Making
by: Paneru, Biplov, et al.
Published: (2024)
by: Paneru, Biplov, et al.
Published: (2024)
HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction
by: Tran, Khoa, et al.
Published: (2025)
by: Tran, Khoa, et al.
Published: (2025)
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)
A Layer-wise Analysis of Supervised Fine-Tuning
by: Zhao, Qinghua, et al.
Published: (2026)
by: Zhao, Qinghua, et al.
Published: (2026)
To Charge or to Sell? EV Pack Useful Life Estimation via LSTMs, CNNs, and Autoencoders
by: Bosello, Michael, et al.
Published: (2021)
by: Bosello, Michael, et al.
Published: (2021)
Scientific Machine Learning for Engine Health Management and Remaining Useful Life Prediction
by: Barry-Straume, Jostein, et al.
Published: (2026)
by: Barry-Straume, Jostein, et al.
Published: (2026)
Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction
by: Wang, Junliang, et al.
Published: (2024)
by: Wang, Junliang, et al.
Published: (2024)
Sparse Low-Ranked Self-Attention Transformer for Remaining Useful Lifetime Prediction of Optical Fiber Amplifiers
by: Schneider, Dominic, et al.
Published: (2024)
by: Schneider, Dominic, et al.
Published: (2024)
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies
by: Teufel, Jonas, et al.
Published: (2023)
by: Teufel, Jonas, et al.
Published: (2023)
MEGL: Multimodal Explanation-Guided Learning
by: Zhang, Yifei, et al.
Published: (2024)
by: Zhang, Yifei, et al.
Published: (2024)
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)
Similar Items
-
CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
by: Razzaq, Waleed, et al.
Published: (2025) -
Developing Distance-Aware, and Evident Uncertainty Quantification in Dynamic Physics-Constrained Neural Networks for Robust Bearing Degradation Estimation
by: Razzaq, Waleed, et al.
Published: (2025) -
FLUID: Continuous-Time Hyperconnected Sparse Transformer for Sink-Free Learning
by: Razzaq, Waleed, et al.
Published: (2026) -
Neuronal Stochastic Attention Circuit (NSAC) for Probabilistic Representation Learning
by: Razzaq, Waleed, et al.
Published: (2026) -
BACE-RUL: A Bi-directional Adversarial Network with Covariate Encoding for Machine Remaining Useful Life Prediction
by: Zhang, Zekai, et al.
Published: (2025)