In work package 1, we assessed the computational reproducibility of eight discrete-event simulation papers with models in Python and R. The reproductions and findings ...
Abstract: Modern data-intensive applications such as large language models already outrun affordable DRAM. Page swapping to fast SSDs or network-attached memory adds capacity, but existing operating ...
Abstract: In this paper, a physics-informed generative adversarial network (GAN) framework is proposed for computationally efficient radiation pattern synthesis of series-fed linear arrays. In the ...
** (2022-Aug.-24) ** We are glad to announce that our U 2-Net published in Pattern Recognition has been awarded the 2020 Pattern Recognition BEST PAPER AWARD !!! ** (2022-Aug.-17) ** Our U 2-Net ...