[HTML][HTML] Deep hybrid: multi-graph neural network collaboration for hyperspectral image classification
…, Z Xiao-feng, C Wei, H Fang, C Yao-ming, WW Cai - Defence …, 2023 - Elsevier
With limited number of labeled samples, hyperspectral image (HSI) classification is a
difficult Problem in current research. The graph neural network (GNN) has emerged as an …
difficult Problem in current research. The graph neural network (GNN) has emerged as an …
Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification
In recent years, the applications of graph convolutional networks (GCNs) in hyperspectral
image (HSI) classification have attracted much attention. However, hyperspectral classification …
image (HSI) classification have attracted much attention. However, hyperspectral classification …
Self-supervised locality preserving low-pass graph convolutional embedding for large-scale hyperspectral image clustering
Due to prior knowledge deficiency, large spectral variability, and high dimension of hyperspectral
image (HSI), HSI clustering is extremally a fundamental but challenging task. Deep …
image (HSI), HSI clustering is extremally a fundamental but challenging task. Deep …
Collaborative thermal management of power battery and passenger cabin for energy efficiency optimization
J Ma, A Liu, P Zhang, Y Chen, Y Cai - Energy Conversion and Management, 2023 - Elsevier
Collaborative thermal management is a promising approach for improving the energy
efficiency of electric vehicles by optimizing both the battery and passenger cabin temperatures. …
efficiency of electric vehicles by optimizing both the battery and passenger cabin temperatures. …
Enhanced absorption of solar energy in a daylighting louver with Ni-water nanofluid
It is well known that addition of some nanoparticles (NPs) to a base fluid can enhance solar
radiation absorption; however, its influence on simultaneous solar energy harvesting and …
radiation absorption; however, its influence on simultaneous solar energy harvesting and …
BS-Nets: An end-to-end framework for band selection of hyperspectral image
Hyperspectral image (HSI) consists of hundreds of continuous narrowbands with high
spectral correlation, which would lead to the so-called Hughes phenomenon and the high …
spectral correlation, which would lead to the so-called Hughes phenomenon and the high …
Graph convolutional subspace clustering: A robust subspace clustering framework for hyperspectral image
Hyperspectral image (HSI) clustering is a challenging task due to the high complexity of HSI
data. Subspace clustering has been proven to be powerful for exploiting the intrinsic …
data. Subspace clustering has been proven to be powerful for exploiting the intrinsic …
Rational design of minimal synthetic promoters for plants
YM Cai, K Kallam, H Tidd, G Gendarini… - Nucleic Acids …, 2020 - academic.oup.com
Promoters serve a critical role in establishing baseline transcriptional capacity through the
recruitment of proteins, including transcription factors. Previously, a paucity of data for cis-…
recruitment of proteins, including transcription factors. Previously, a paucity of data for cis-…
Graph regularized residual subspace clustering network for hyperspectral image clustering
Hyperspectral image (HSI) clustering is a challenging task due to the high complexity of HSI
data. Subspace clustering methods have achieved promising clustering performance in HSI …
data. Subspace clustering methods have achieved promising clustering performance in HSI …
The Arabidopsis peptide kiss of death is an inducer of programmed cell death
R Blanvillain, B Young, Y Cai, V Hecht… - The EMBO …, 2011 - embopress.org
Programmed cell death (PCD) has a key role in defence and development of all multicellular
organisms. In plants, there is a large gap in our knowledge of the molecular machinery …
organisms. In plants, there is a large gap in our knowledge of the molecular machinery …