Advances in deep learning recognition have led to accurate object detection with 2D images. However, these perception methods are insufficient for complete 3D world information. Concurrently, advanced shape estimation approaches focus on the itself, without considering metric scale. These cannot determine location and orientation of objects. To tackle this problem, we propose a framework that j...

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This paper considers the security issue of the fifth-generation (5G) wireless networks with massive connections, where multiple eavesdroppers aim to intercept the confidential messages through active eavesdropping. To realize secure massive access, non-orthogonal channel estimation (NOCE) and nonorthogonal multiple access (NOMA) techniques are combined to enhance the signal quality at legitimat...

This paper represents a contribution to the study of hazard caused by the interaction between landslides and river courses. The effects of such interferences are often catastrophic and could include the formation of upstream lakes, potential dam failure, river bed dynamics and morphological alterations. These scenarios could be substantially reduced if it was possible to predict the eventuality...