Abstract: Graph partitioning is a classical NP-hard problem widely applied in parallel computing, simulation, and network analysis. It aims to produce balanced partitions with minimal ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: This paper proposes an end-to-end automatic design scheme for wideband low-noise amplifiers (LNAs), saving time-consuming manual optimization in conventional design methods. The proposed ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results