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But it cannot generate the waveform which is suitable for multi-antenna systems. Therefore, in this paper, we impose spatial information into SMSE framework by using tensor algebra to introduce a ...
Tensorforce is an open-source deep reinforcement learning framework, with an emphasis on modularized flexible library design and straightforward usability for applications in research and practice.
Abstract: Tensor is a natural representation of visual data, such as hyperspectral image data. Other than vector representation based feature extraction methods, tensor-based representation methods ...
Strategically located in Montreal, Canada, the new data center is set to become a cornerstone in North America’s AI and high-performance computing (HPC) landscape. This move reflects Tensorium ...
The idea is to “unlock” customers that deal with sensitive data and strict security policies. “Public cloud enables simplicity, scalability, and efficiency, but also introduces security ...
The investment coincides with the deployment of 8,192 AMD Instinct MI325X GPUs for a dedicated AI training cluster located in a data center campus in Tucson, Arizona. According to the company ...
Load Flow Analysis Framework for Active Distribution Networks Based on Smart Meter Reading System ()
The impact of load modeling at different node points in the network on the load flow analysis is also compared. This paper formulates and proposes a distribution system load modeling framework based ...
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