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State Estimation

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Showing 801–825 of 1067 papers

TitleStatusHype
Physics-Informed Graphical Neural Network for Parameter & State Estimations in Power Systems—0
Physics-informed Graphical Neural Network for Power System State Estimation—0
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator—0
Physics-Informed Neural Networks for Accelerating Power System State Estimation—0
Physics-Informed Neural Networks for Satellite State Estimation—0
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems—0
PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications—0
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation—0
Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments—0
Posterior Cramer-Rao Lower Bound based Adaptive State Estimation for Option Price Forecasting—0
Power-Flow-Embedded Projection Conic Matrix Completion for Low-Observable Distribution Systems—0
Power Systems Data Fusion based on Belief Propagation—0
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids—0
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution—0
Precision Enhancement of Distribution System State Estimation via Tri-Objective Micro Phasor Measurement Unit Deployment—0
Privacy-Preserving Data Fusion for Traffic State Estimation: A Vertical Federated Learning Approach—0
Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts—0
Privacy-Preserving Optimal State Estimation with Low Complexity via Cramér-Rao Lower Bound Approach—0
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale—0
Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]—0
Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation—0
Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning—0
Protection Against Graph-Based False Data Injection Attacks on Power Systems—0
Provably Correct Sensor-driven Path-following for Unicycles using Monotonic Score Functions—0
Pulling Back Theorem for Generalizing the Diagonal Averaging Principle in Symplectic Geometry Mode Decomposition and Singular Spectrum Analysis—0
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