{"total":30,"rows":[{"id":"2206.08496","title":"Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency","created":"2022-06-17","cited_by_count":250,"area":null},{"id":"2208.07422","title":"Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives","created":"2022-08-15","cited_by_count":98,"area":null},{"id":"2305.10716","title":"A Survey on Time-Series Pre-Trained Models","created":"2023-05-18","cited_by_count":52,"area":null},{"id":"2208.14197","title":"A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies","created":"2022-08-26","cited_by_count":28,"area":null},{"id":"2204.03342","title":"Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift","created":"2022-04-07","cited_by_count":24,"area":null},{"id":"2111.03422","title":"Transferable Time-Series Forecasting under Causal Conditional Shift","created":"2021-11-05","cited_by_count":18,"area":null},{"id":"2302.01704","title":"Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction","created":"2023-02-03","cited_by_count":11,"area":null},{"id":"2302.04730","title":"A Benchmark on Uncertainty Quantification for Deep Learning Prognostics","created":"2023-02-09","cited_by_count":9,"area":null},{"id":"2304.07453","title":"Context-aware Domain Adaptation for Time Series Anomaly Detection","created":"2023-04-15","cited_by_count":8,"area":null},{"id":"2111.00874","title":"An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications","created":"2021-10-08","cited_by_count":4,"area":null},{"id":"2205.03554","title":"Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance","created":"2022-05-07","cited_by_count":4,"area":null},{"id":"2304.11702","title":"Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions","created":"2023-04-23","cited_by_count":4,"area":null},{"id":"2404.04824","title":"Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions","created":"2024-04-07","cited_by_count":4,"area":null},{"id":"2401.13721","title":"Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression","created":"2024-01-24","cited_by_count":3,"area":null},{"id":"2104.03613","title":"Uncertainty-aware Remaining Useful Life predictor","created":"2021-04-08","cited_by_count":2,"area":null},{"id":"2109.12513","title":"Generalized multiscale feature extraction for remaining useful life prediction of bearings with generative adversarial networks","created":"2021-09-26","cited_by_count":2,"area":null},{"id":"2208.08388","title":"LAMA-Net: Unsupervised Domain Adaptation via Latent Alignment and Manifold Learning for RUL Prediction","created":"2022-08-17","cited_by_count":2,"area":null},{"id":"2405.06068","title":"Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes","created":"2024-05-09","cited_by_count":2,"area":null},{"id":"2410.22594","title":"Gaussian Derivative Change-point Detection for Early Warnings of Industrial System Failures","created":"2024-10-29","cited_by_count":2,"area":null},{"id":"2502.16637","title":"Time Series Domain Adaptation via Latent Invariant Causal Mechanism","created":"2025-02-23","cited_by_count":1,"area":null},{"id":"2510.03604","title":"Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends","created":"2025-10-04","cited_by_count":1,"area":null},{"id":"2511.00564","title":"FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction","created":"2025-11-01","cited_by_count":1,"area":null},{"id":"2512.02610","title":"Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2603.24475","title":"Conformalized Transfer Learning for Li-ion Battery State of Health Forecasting under Manufacturing and Usage Variability","created":"2026-03-25","cited_by_count":1,"area":null},{"id":"2605.15775","title":"Continual Learning of Domain-Invariant Representations","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2301.01705","title":"A Survey on Deep Industrial Transfer Learning in Fault Prognostics","created":"2023-01-04","cited_by_count":0,"area":null},{"id":"2306.04919","title":"A Deep Probabilistic Flow-Based Framework for Unsupervised Cross-Domain Soft Sensing","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2603.15687","title":"Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation","created":"2026-03-15","cited_by_count":0,"area":null},{"id":"2609.25179","title":"Multi-Term Fourier Graph Neural Network with Sample Relationship Learning for Enhanced Remaining Useful Life Prediction","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2609.39784","title":"CORD: Learning Reusable Degradation Representations Across Heterogeneous Physical Systems","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}