Results 141 to 150 of about 70,228 (184)

Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries. [PDF]

Sci Rep
Hua M, Xu M, Li J, Zhao X, Wang Q, Ni X, Wu Y.   +6 more
europepmc   +1 more source

Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]

Entropy (Basel)
Ma Y, Zhang G, Ye S, An D.
europepmc   +1 more source

Explainable AI with EDA for V2I path loss prediction. [PDF]

Sci Rep
Ameur MB, Chebil J, Habaebi MH, Tahar JBH, Islam MR, Sheikh AM.   +5 more
europepmc   +1 more source

An advanced error state Kalman filter (ESKF)-based terrain contour matching (TERCOM) method for tracking an aerial vehicle using a low-cost digital elevation map. [PDF]

PeerJ Comput Sci
Kadri MB, Yousuf S.
europepmc   +1 more source

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A distributed maximum correntropy Kalman filter

Signal Processing, 2019
Abstract Most distributed Kalman filters are based on the cost function of the well-known minimum mean square estimation criterion, which performs well in the presence of Gaussian noise. When impulsive noise is involved, the performance of distributed Kalman filters may become worse.
Gang Wang, Rui Xue, Jinxin Wang
openaire   +3 more sources

Distributed minimum error entropy Kalman filter

Information Fusion, 2023
Zhenyu Feng, Gang Wang, Bei Peng, Jiacheng He, Kun Zhang   +4 more
openaire   +3 more sources

Distributed Kalman Filtering Through Trace Proximity

IEEE Transactions on Automatic Control, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wei Liu, Peng Shi, Shuoyu Wang
openaire   +2 more sources