Results 151 to 160 of about 1,526 (199)

Robust Trajectory Prediction for Mobile Robots via Minimum Error Entropy Criterion and Adaptive LSTM Networks. [PDF]

Entropy (Basel)
Xie D, Li Z, Zhang C, Wang C, Wei X.
europepmc   +1 more source

An Improved Cubature Kalman Filter for GNSS-Denied and System-Noise-Varying INS/GNSS Navigation. [PDF]

Micromachines (Basel)
Liu D, Chen X, Cui B.
europepmc   +1 more source

Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons with and without Significant Amyloid Plaques. [PDF]

J Alzheimers Dis
Chen Y, Su Y, Wu J, Chen K, Atri A, Caselli RJ, Reiman EM, Wang Y, Alzheimer’s Disease Neuroimaging Initiative.   +8 more
europepmc   +1 more source

Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography. [PDF]

Bioengineering (Basel)
Ma Y, Liang X, Wu H, Lu H, Li Y, Liu C, Gao Y, Xiang M, Yu D, Ning X.   +9 more
europepmc   +1 more source

Autoencoder-Based Representation Learning for Similar Patients Retrieval From Electronic Health Records: Comparative Study. [PDF]

JMIR Med Inform
Li D, Shukla A, Chandaka S, Taylor B, Xu J, Liu M.   +5 more
europepmc   +1 more source

DiagPat: An Explainable Language Detection Model Using EEG Signals. [PDF]

Sensors (Basel)
Keles T, Yildirim K, Tanko D, Tas S, Tasci I, Tasci B, Tasci G, Tuncer T, Dogan S.   +8 more
europepmc   +1 more source

Mobile Tunnel Lining Measurable Image Scanning Assisted by Collimated Lasers. [PDF]

Sensors (Basel)
Wu X, Ma J, Wang J, Song H, Xu J.
europepmc   +1 more source

Decoding imagined speech with delay differential analysis. [PDF]

Front Hum Neurosci
Carvalho VR, Mendes EMAM, Fallah A, Sejnowski TJ, Comstock L, Lainscsek C.   +5 more
europepmc   +1 more source

A Review of Pedestrian Trajectory Prediction Methods Based on Deep Learning Technology. [PDF]

Sensors (Basel)
Gu X, Li C, Gao L, Niu X.
europepmc   +1 more source

Multikernel Correntropy for Robust Learning [PDF]

IEEE Transactions on Cybernetics, 2022
As a novel similarity measure that is defined as the expectation of a kernel function between two random variables, correntropy has been successfully applied in robust machine learning and signal processing to combat large outliers. The kernel function in correntropy is usually a zero-mean Gaussian kernel.
Badong Chen, Yuqing Xie, Zejian Yuan
exaly   +3 more sources