Abstract: This article proposes a low-complexity maximum likelihood sequence estimation (MLSE) algorithm tailored for non-return-to-zero (NRZ) high-speed transceivers. In particle physics experiments, ...
Abstract: A physics-informed neural networks (PINNs) framework is proposed for electromagnetic-thermal cosimulation. The framework utilizes two coupled PINNs: The first solves the Helmholtz equation ...
The Rally Point is a regular column where the inimitable Sin Vega delves deep into strategy gaming. I wasn't sure if I wanted Command & Conquer to come back. Some things are just gone, a product of ...
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