When the depth camera is used to scan the scene in 3D reconstruction technology, there may be some problems such as incomplete model or low definition in the reconstruction process due to the fast movement of the came...
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A target detection-based autofocus system is built to address the problem of unreasonable focus window planning in today's autofocus systems. A window planning strategy based on the HOG+SVM algorithm and an improv...
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The article provides a theoretical analysis of the ultrahigh frequency (microwave) method of humidity measurement, discusses the problems of instrumentation of the method in question, and proposes a scheme of an exper...
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Electrical brain stimulation (EBS) has been established as a potent instrument for modulating brain activities. This paper presents a spatially distributed linear delayed feedback control (LDFC) approach for EBS, desi...
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A session-based recommendation model combining star graph and dynamic perception is proposed to solve the problem of remote information, ignoring the dynamic change of users' interests and the inaccurate expressio...
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Proposed a method for calculating the area of road diseases using a monocular camera. The camera and the road plane are calibrated to obtain the mapping relationship between pixel points and spatial points;the Mask R-...
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Implicit neural networks based on point convolution and voxel convolution have been successfully used for point cloud surface reconstruction. This paper proposes an adaptive fusion dual-branch convolutional occupancy ...
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This paper presents a case study related to emotion recognition based on human thermal image processing. Three states are considered for human faces: normal, sad, and happy. The thermal images are pre-processed for im...
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Aimed to mitigate the challenges associated with manual detection, such as elevated risks and limited accuracy, a machine vision-based automatic measurement method is proposed for determining the area of a ring cooler...
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Accurate short-Term load forecasting is crucial for the economic operation of power grids. In order to improve the accuracy of power system load forecasting, this paper proposes a sparrow optimization algorithm (SSA) ...
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