Abstract: Training end-to-end unrolled iterative neural networks for single-photon emission computerized tomography (SPECT) image reconstruction requires a memory-efficient forward–backward projector ...
Kernel adaptive filters are online machine learning algorithms based on kernel methods. Typical applications include time-series prediction, nonlinear adaptive filtering, tracking and online learning ...
The Layer-wise Relevance Propagation (LRP) algorithm explains a classifer's prediction specific to a given data point by attributing relevance scores to important components of the input by using the ...
The Artificial Potential Field (APF) algorithm has been widely used for collision avoidance on unmanned ships. However, traditional APF methods have several defects that need to be addressed. To ...
Intelligent vehicles and autonomous driving have been the focus of research in the field of transport, but current autonomous driving models have significant errors in lateral tracking that cannot be ...
Abstract: This paper presents an advanced approach to address the divergence issue encountered in the Newton-Raphson and Gauss-Seidel methods for radial system load flow calculations, while preserving ...
The correction of wavefront aberration plays a vital role in active optics. The traditional correction algorithms based on the deformation of the mirror cannot effectively deal with disturbances in ...
A camera is one of the most powerful and accurate sensors if you know how to process the images taken by it for the information you want. You can process subsequent images and extract a variety of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results