most citedOptimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction

23 citations · 23 across the 2 of their papers we have counts for

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2 papers

cs.CV2023

DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition

Chang Li, Qian Huang, Yingchi Mao

Graph Convolutional Networks (GCNs) have been widely used in skeleton-based human action recognition. In GCN-based methods, the spatio-temporal graph is fundamental for capturing m…

cs.LG2023★ 23 cited

Optimized Three Deep Learning Models Based-PSO Hyperparameters for Beijing PM2.5 Prediction

Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa +2

Deep learning is a machine learning approach that produces excellent performance in various applications, including natural language processing, image identification, and forecasti…