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parameter estimation

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Showing 401–450 of 1719 papers

TitleStatusHype
A Discrete-Time Least-Squares Adaptive State Tracking Control Scheme with A Mobile-Robot System Study—0
A data-informed mathematical model of microglial cell dynamics during ischemic stroke in the middle cerebral artery—0
Adaptive Dual Covariance Steering with Active Parameter Estimation—0
Unbiased Parameter Estimation via DREM with Annihilators—0
Characterisation of Anti-Arrhythmic Drug Effects on Cardiac Electrophysiology using Physics-Informed Neural NetworksCode0
UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation—0
Variational Inference of Parameters in Opinion Dynamics Models—0
A Learnable Prior Improves Inverse Tumor Growth ModelingCode0
Efficient CNN-LSTM based Parameter Estimation of Levy Driven Stochastic Differential Equations—0
Dendrogram of mixing measures: Hierarchical clustering and model selection for finite mixture models—0
DeepEMC-T2 Mapping: Deep Learning-Enabled T2 Mapping Based on Echo Modulation Curve Modeling—0
Automatic Radar Signal Detection and FFT Estimation using Deep Learning—0
Nonlinear identification algorithm for online and offline study of pulmonary mechanical ventilation—0
Transformer-based Parameter Estimation in Statistics—0
Opening Articulated Structures in the Real World—0
CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer—0
Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical SystemsCode0
Differentiable Particle Filtering using Optimal Placement Resampling—0
Exploring the Power of Pure Attention Mechanisms in Blind Room Parameter Estimation—0
Fast and Efficient Sequential Radar Parameter Estimation in MIMO-OTFS Systems—0
Multistatic OFDM Radar Fusion of MUSIC-based Angle Estimation—0
Enhancing Power Prediction of Photovoltaic Systems: Leveraging Dynamic Physical Model for Irradiance-to-Power ConversionCode1
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential EquationsCode0
A Regression Mixture Model to understand the effect of the Covid-19 pandemic on Public Transport RidershipCode0
Autonomous Emergency Braking With Driver-In-The-Loop: Torque Vectoring for Active Learning—0
Thompson Sampling in Partially Observable Contextual Bandits—0
A Statistical Model of Bursty Mixed Gaussian-impulsive Noise: Model and Parameter Estimation—0
A model for membrane degradation using a gelatin invadopodia assay—0
On Parameter Estimation in Deviated Gaussian Mixture of Experts—0
Algebraic identifiability of partial differential equation modelsCode0
Semi-Passive Intelligent Reflecting Surface Enabled Sensing Systems—0
Neural variational Data Assimilation with Uncertainty Quantification using SPDE priors—0
Data-driven model selection within the matrix completion method for causal panel data models—0
A Crucial Parameter for Rank-Frequency Relation in Natural Languages—0
Tensor-based process control and monitoring for semiconductor manufacturing with unstable disturbances—0
Unlocking the Power of Multi-institutional Data: Integrating and Harmonizing Genomic Data Across InstitutionsCode0
CFTM: Continuous time fractional topic model—0
Symbolic-numeric algorithm for parameter estimation in discrete-time models withCode0
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning ExperimentsCode0
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?—0
Bayesian identification of nonseparable Hamiltonians with multiplicative noise using deep learning and reduced-order modeling—0
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms—0
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches—0
Composite learning backstepping control with guaranteed exponential stability and robustness—0
3D Room Geometry Inference from Multichannel Room Impulse Response using Deep Neural Network—0
Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation—0
Intelligent Optimization and Machine Learning Algorithms for Structural Anomaly Detection using Seismic Signals—0
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation—0
OFDM Reference Signal Pattern Design Criteria for Integrated Communication and Sensing—0
GANs for EVT Based Model Parameter Estimation in Real-time Ultra-Reliable Communication—0
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