GraphSleepNet的主要优点是自适应学习不同脑电图(EEG)通道之间的内在联系,以邻接矩阵表示,从而最好地服务于时空图卷积网络(ST-GCN)的睡眠阶段分类。同时,ST-GCN由图卷积提取空间特征和时间卷积捕获睡眠阶段之间的过渡规则组成。在蒙特利尔睡眠研究档案(MASS)数据集上进行的实验表明,GraphSleepNet的表现优于最先进的基线...
A nanocarrier is born with multiple functions simultaneously but has to be expressed by certain sequential manner, namely a spatial–temporal manner, to achieve an efficient and precise release at the right time and right place. Although multifunctional carriers are desirable to make it an ...
Three-Dimensional Adaptive Spatial-Temporal Processing for Airborne Radar Space-time adaptive processing(STAP) for airborne radar has been becoming one of the most important techniques in the research of radar area.It is one of t... YY Dong,T Wang 被引量: 0发表: 2008年 DEVICE AND METHOD FOR...
We propose a novel deep learning network architecture, Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Networks (AMF-STGCN), to model the traffic dynamics of mobile base stations. AMF-STGCN extends GCN by (1) jointly modeling the complex spatial-temporal dependencies in mobile ...
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification - ziyujia/GraphSleepNet
Localised three-dimensional adaptive spatial-temporal processing for airborne radar. Localised Three-Dimensional Adaptive Spatial-Temporal Processing for Airborne Radar [ J ]. IEE Proceedings - Radar, Sonar and Navigation, 2003,150( 1 ) ... Hale,B T.,Temple,... - 《Iee Proceedings Radar Sonar ...
In vivo volumetric imaging of calcium and glutamate activity at synapses with high spatiotemporal resolution Adaptive optics (AO) corrects sample aberrations and allows high spatial resolution at depth in vivo. Here the authors report an AO method for Bessel focus; they apply AO Bessel focus scann...
(CTSAN) for solar AO image restoration. CTSAN consists of four modules: optical flow estimation PWC-Net for inter-frame explicit alignment, temporal and spatial attention for dynamic feature fusion, temporal sharpness prior for sharp feature extraction, and encoder-decoder architecture for feature ...
In light of the aforementioned problems, the Robust Adaptive Spatial Temporal Fusion Model (RASTFM) is proposed and validated in this study; the model consists of a Non-Local Linear Regression (NL-LR) based weighted average module and a NL-LR based image Super-Resolution (SR) module to predi...
篇名 Spatio-Temporal Adaptive Super-Resolution Reconstruction Model Based on Zemike Moment for Spatial Video Sequences 来源期刊 中国通信 学科 关键词 年,卷(期) 2012,(12) 所属期刊栏目 研究方向 页码范围 93-107 页数 15页 分类号 字数 语种 中文 DOI 引文网络 参考文献 二级参考文献 (10) ...