For 3090: We recommend CUDA 11.1 & Python v3.8.10 & Pytorch 1.9.0 conda create -n dfnet python=3.8.10 source activate dfnet conda install -c conda-forge cudatoolkit=11.1 cudnn=8.1.0 conda install -c ...

Abstract: Direct two-dimensional (2D) material growth is widely considered as the preferred 2D integration approach due to its simplicity and cost-effective fabrication flow. On the other hand, a 2D ...

Abstract: Compared to conventional 3D radar systems, 4D radar systems require higher angular resolution in both azimuth and elevation. Besides, sparse arrays offer several advantages, including ...