Computationally effective estimation of supersonic flow field around airfoils using sparse convolutional neural network
Sign Up to like & getrecommendations! Published in 2023 at "Fluid Dynamics Research"
DOI: 10.1088/1873-7005/acd7a0
Abstract: This work proposes an innovative approach for supersonic flow field modeling around airfoils based on sparse convolutional neural networks (SCNNs) and Bézier generative adversarial network (GAN), where (1) the SCNN model is built to end-to-end… read more here.
Keywords: network; convolutional neural; sparse convolutional; scnn model ... See more keywords
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3268477
Abstract: In this article, we propose two algorithms to enhance the interpretability of the hyperbola in B-scans obtained with a ground penetrating radar (GPR). These hyperbolas are the responses of buried objects or cavities. To correctly… read more here.
Keywords: convolutional coding; algorithm; sparse convolutional; ground penetrating ... See more keywords
Enhancing Utilization of SIMD-Like Accelerator for Sparse Convolutional Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2019.2897052
Abstract: Although the existing single-instruction–multiple-data-like (SIMD) accelerators can handle the compressed format of sparse convolutional neural networks, the sparse and irregular distributions of nonzero elements cause low utilization of multipliers in a processing engine (PE) and… read more here.
Keywords: like accelerator; neural networks; accelerator; sparse convolutional ... See more keywords