Abstract: Anomaly detection is a unique type of classification challenge. The coupling of imbalance, overlap, and other complexity of the data, such as noise in industrial Internet of Things (IIoT) ...
Abstract: This paper proposes an effective approach for sampling graph signals under the subspace prior. Unlike conventional methods that assume bandlimited signals, our method, based on generalized ...
Abstract: To address the issue of low accuracy in 3D point cloud registration, we present a novel iterative closest point (ICP) algorithm for point registration using the stochastic differential ...
Abstract: In this paper, we consider a sensor placement problem where sensors can move within a network over time. Most existing methods assume that sensor positions are static, i.e., they do not move ...
Abstract: In this article, an inexpensive beam homogenizer is designed to transform the laser beam with irregular intensity into a uniform square beam with a large size, thus eliminating the ...
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