I come into the discussion on the intersection of history, culture and heritage and its ecological
and environmental connections from a position that may seem to be a non-specialist one: …

… This article excavates the deep historical logic of security as a concept within the CCP
leadership’s worldview and decision-making, focusing on the threat image of cultural subversion …

… On this basis, the SIC is applied to the design of the deep learning framework structure,
and a massive MIMO multi-user SIC detection algorithm based on deep learning is proposed, …

… 本文对基于深度神经网络(Deep Neural Network, DNN)的多输入多输出(Multiple Input …
the learning method of Multiple Input Multiple Output (MIMO) receiver based on Deep Neural …

… This study presents the first deep learning model for short-term forecasting of Martian dust
storms, providing a reference for future Mars exploration missions. Keywords: atmosphere; …

… on deep learning was proposed. The encoder and the decoder based on residual deep …
A new reduced-complexity sphere decoder for multiple antenna systems[C]//Proceedings of …

… deep neural networks for semantic 2D image segmentation is limited by the distortion of the
spatial relationships in the spherical … the use of the newest deep learning models in Section 2…

… the object were obtained by deep learning in stages. The experimental … deep learning is
feasible in the phase-height mapping stage. And compared with the single-stage deep learning …

… An efficient algorithm named list sphere decoding (LSD) was proposed [5] to solve the
problem. It has been shown that the LSD algorithm can significantly reduce the computational …

… , including but not limited to autonomous driving, industrial control, and MR/XR, which
further advances the development of deep learning methods in 3D point … deep learning …