Results 171 to 180 of about 147,262 (309)
High-Precision Laser Time-Frequency Synchronization in Space Based on an Improved Kalman Filtering Method. [PDF]
Sun B, Wang X, Sun Z, Zheng F.
europepmc +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Mistaking Covariance for Combination in Sensorimotor Adaptation: Regression Slopes Do Not Test Additivity. [PDF]
Liddy J.
europepmc +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source
An Empirical State Error Covariance Matrix Orbit Determination Example
State estimation techniques serve effectively to provide mean state estimates. However, the state error covariance matrices provided as part of these techniques suffer from some degree of lack of confidence in their ability to adequately describe the ...
Frisbee, Joseph H., Jr.
core +1 more source
Posterior-Contact Soft-ZUPT for Foot-Mounted Inertial Navigation: Uncertainty-Aware Pseudo-Observation Modeling. [PDF]
Gao Y, Deng Z.
europepmc +1 more source
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Covariance Intersection (CI) is a major advance over the Kalman Filter for estimation, filtering, and data fusion applications. Covariance Intersection is more general in that it permits the fusion of estimates whose degree of correlation is unknown ...
Covariance Intersection Working Group (CIWG)
core
A TLS-Motivated Non-Iterative Robust Square-Root Cubature Kalman Filter for Bearings-Only Tracking. [PDF]
Li C +5 more
europepmc +1 more source
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source

