| An overview of differentiable particle filters for data-adaptive sequential Bayesian inference | Feb 19, 2023 | Bayesian InferenceSequential Bayesian Inference | —Unverified | 0 | 0 |
| A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion | Jan 15, 2021 | PositionSensor Fusion | —Unverified | 0 | 0 |
| Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement | Nov 9, 2022 | State Estimation | —Unverified | 0 | 0 |
| A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation | Jun 6, 2021 | RelationState Estimation | —Unverified | 0 | 0 |
| Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems | Sep 1, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 | 0 |
| Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation | May 19, 2021 | State Estimation | —Unverified | 0 | 0 |
| Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments | Oct 23, 2024 | State Estimation | —Unverified | 0 | 0 |
| Approximate Optimal Filter for Linear Gaussian Time-invariant Systems | Mar 9, 2021 | State Estimation | —Unverified | 0 | 0 |
| Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF | Nov 21, 2022 | State Estimation | —Unverified | 0 | 0 |
| A Practical Proposal for State Estimation at Balanced, Radial Distribution Systems | Dec 3, 2020 | State Estimation | —Unverified | 0 | 0 |
