Topic · Artificial Intelligence · Computer Science

Target Tracking and Data Fusion in Sensor Networks

OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.

2 papers

Adaptive Unscented Kalman Filter for Neuronal State and Parameter Estimation

Loïc J. Azzalini, David Crompton, Gabriele M. T. D’Eleuterio, Frances K. Skinner, Milad Lankarany

This paper introduces an adaptive unscented Kalman filter for neuronal state and parameter estimation, showing improved accuracy and robustness compared to standard variants.

Journal of Computational Neuroscience · Mar 1, 2023Peer-reviewedNeuroscience

Optimization of an unscented Kalman filter for an embedded platform

Philip P. Graybill, Bruce J. Gluckman, Mehdi Kiani

The paper optimizes an unscented Kalman filter for embedded platforms, achieving 27x faster computation with maintained accuracy in a rat sleep-wake model.

Computers in Biology and Medicine · Jul 1, 2022Peer-reviewedNeuroscience