Abstract: Full waveform inversion (FWI) is a powerful method to reconstruct the properties of the subsurface media. However, the standard FWI is a non-unique and ill-posed inversion problem, which ...
Abstract: Landslide cracks are essential signs of landslide creeping and sliding, that are also very useful to landslide prediction and risk prevention. In order to improve the ability to extract ...
Method of Multi-Mode Sensor Data Fusion with an Adaptive Deep Coupling Convolutional Auto-Encoder ()
To address the difficulties in fusing multi-mode sensor data for complex industrial machinery, an adaptive deep coupling convolutional auto-encoder (ADCCAE) fusion method was proposed. First, the ...
The AUV (Autonomous Underwater Vehicle) navigation process relies on the interaction of a variety of sensors. The side-scan sonar can collect underwater images and obtain semantic underwater ...
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Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep ...
The purpose is to solve the problems of large positioning errors, low recognition speed, and low object recognition accuracy in industrial robot detection in a 5G environment. The convolutional neural ...
1 Institute of Geoscience and Resources, China University of Geosciences, Beijing, China. 2 Geographic Information Center of Guangxi, Nanning, China. In recent years, deep learning has been widely ...
2d Convolution result is inconsistent when applied to the full input as compared to partial input. Provide a short description. convolve on a 2D in put of WxH should have the same results when ...
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