| A Geometric Approach For Pose and Velocity Estimation Using IMU and Inertial/Body-Frame Measurements | Apr 2, 2025 | Pose EstimationState Estimation | —Unverified | 0 |
| Accelerated Probabilistic State Estimation in Distribution Grids via Model Order Reduction | Nov 10, 2020 | State Estimation | —Unverified | 0 |
| Adaptive Kalman Filtering Developed from Recursive Least Squares Forgetting Algorithms | Apr 16, 2024 | State Estimation | —Unverified | 0 |
| A General Regularized Distributed Solution for System State Estimation from Relative Measurements | Aug 6, 2021 | State Estimation | —Unverified | 0 |
| A Novel Hybrid Approach for Tornado Prediction in the United States: Kalman-Convolutional BiLSTM with Multi-Head Attention | Aug 5, 2024 | State Estimation | —Unverified | 0 |
| AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics | Aug 18, 2020 | 3D Multi-Object TrackingAutonomous Driving | —Unverified | 0 |
| Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement | Nov 9, 2022 | State Estimation | —Unverified | 0 |
| Adaptive calibration of Heston Model using PCRLB based switching Filter | Dec 8, 2021 | parameter estimationState Estimation | —Unverified | 0 |
| A Secure Estimator with Gaussian Bernoulli Mixture Model | Nov 15, 2024 | Computational Efficiencymodel | —Unverified | 0 |
| A sensitivity-based approach to optimal sensor selection for process networks | Aug 1, 2022 | Chemical ProcessSensitivity | —Unverified | 0 |
| Aspects of density approximation by tensor trains | May 28, 2025 | State Estimation | —Unverified | 0 |
| A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation | Jun 6, 2021 | RelationState Estimation | —Unverified | 0 |
| Abstraction-Free Control Synthesis to Satisfy Temporal Logic Constraints under Sensor Faults and Attacks | Aug 22, 2022 | State Estimation | —Unverified | 0 |
| Application of Deep Learning Methods in Monitoring and Optimization of Electric Power Systems | Sep 1, 2023 | reinforcement-learningReinforcement Learning | —Unverified | 0 |
| Mahalanobis distance-based robust approaches against false data injection attacks on dynamic power state estimation | May 19, 2021 | State Estimation | —Unverified | 0 |
| Approximate Kalman filtering for large-scale systems with an application to hyperthermia cancer treatments | Oct 23, 2024 | State Estimation | —Unverified | 0 |
| Approximate Optimal Filter for Linear Gaussian Time-invariant Systems | Mar 9, 2021 | State Estimation | —Unverified | 0 |
| Approximating a Laplacian Prior for Joint State and Model Estimation within an UKF | Nov 21, 2022 | State Estimation | —Unverified | 0 |
| A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion | Jan 15, 2021 | PositionSensor Fusion | —Unverified | 0 |
| A Proximal Point Approach for Distributed System State Estimation | Mar 21, 2021 | State Estimation | —Unverified | 0 |
| A Quick Guide for the Iterated Extended Kalman Filter on Manifolds | Jul 18, 2023 | State Estimation | —Unverified | 0 |
| A Recursive Delay Estimation Algorithm for Linear Multivariable Systems with Time-varying Delays | Sep 6, 2021 | State Estimation | —Unverified | 0 |
| A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization | Jul 6, 2022 | Cloud ComputingCPU | —Unverified | 0 |
| A Review of Phasor Measurement Unit Requirements and Monitoring Architecture Practices for State Estimation at Distribution Systems | Dec 3, 2020 | State Estimation | —Unverified | 0 |
| A Gaussian process latent force model for joint input-state estimation in linear structural systems | Mar 29, 2019 | Gaussian ProcessesState Estimation | —Unverified | 0 |