Abstract: Data-driven evolutionary algorithms usually aim to exploit the information behind a limited amount of data to perform optimization, which have proved to be successful in solving many complex ...
Abstract: With the rapid deployment of sensitive data of large models in open environments (SDLMIOE), ensuring secure and reliable transmission has become increasingly vital. This study suggests a ...
Abstract: In 3D data analysis, point clouds provide detailed geometric insights for applications like computer vision and geospatial analysis. However, their irregularity and diversity make ...
Abstract: In [1], inaccuracies in several critical equations along with their accompanying descriptions appear in the article. Furthermore, some references are missing, and certain analyses of ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Abstract: This paper addresses low-efficiency and high-randomness node sampling in RRT - Connect for path planning by proposing a quadratic optimization JP - RRT algorithm using jump point sampling.
A galaxy proto-supercluster was discovered using VIMOS instrument of ESO’s Very Large Telescope. The astronomers who discovered it have nicknamed the bohemoth “Hyperion.” It has been visualized here.
Abstract: 3-D point cloud registration is a prerequisite for scene reconstruction and 3-D object recognition in computer vision and remote sensing. Numerous previous studies have presented a series of ...
Abstract: Accurate extraction of tunnel lining is crucial for deformation monitoring, damage detection, and tunnel modeling. However, the extraction of tunnel lining is still challenging due to the ...
Abstract: In this article, we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration of ...
Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...
Abstract: Hybridizing a photovoltaic (PV) system with a thermoelectric generator (TEG) enhances overall energy density and input utilization. PV efficiency decreases, whereas TEG efficiency improves ...
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