Abstract: Existing airborne laser scanning (ALS) point cloud semantic segmentation approaches are limited by their overreliances on sufficient point-wise annotations that further confine their ...
Learn how to compute electric potential from multiple charges in this beginner-friendly physics tutorial! In this video, we break down the concepts, formulas, and step-by-step calculations needed to ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: This tutorial brief shows how Artificial Neural Networks (ANNs) can be used for the optimization and automated design of analog and mixed-signal circuits. A survey of conventional and ...
Abstract: Rotation invariance is a crucial requirement for the analysis of 3D point clouds. However, current methods often achieve rotation invariance by employing specific network designs. These ...
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Abstract: Due to the disorder of points, point clouds need to be structured by sampling and neighbor query before feeding to Deep Neural Networks (DNNs). Structuring point clouds costs high ...
Abstract: The inherent limitations in scaling up ground infrastructure for future wireless networks, combined with decreasing operational costs of aerial and space networks, are driving considerable ...
Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.
“Point Break” is smacking the lip once more, as AMC Networks is developing a TV adaptation of the 1991 surf action flick, Variety has confirmed. The series is set in 2026, 35 years after the events of ...
Abstract: Six-dimensional movable antenna (6DMA) is a new and revolutionary technique that fully exploits the wireless channel spatial variations at the transmitter/receiver by flexibly adjusting the ...