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Spectral encoder to extract the efficient features of Raman spectra for reliable and precise quantitative analysis 期刊论文
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 312
作者:  Gao, Chi;  Fan, Qi;  Zhao, Peng;  Sun, Chao;  Dang, Ruochen;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2752Kb)  |  收藏  |  浏览/下载：48/1  |  提交时间：2024/04/08
Raman spectroscopy  Quantitative analysis  Deep learning  Spectral encoder  Feature extraction  
Classification of self-limited epilepsy with centrotemporal spikes by classical machine learning and deep learning based on electroencephalogram data 期刊论文
BRAIN RESEARCH, 2024, 卷号: 1830
作者:  Liu, Xi;  Zhang, Xinming;  Yu, Tao;  Dang, Ruochen;  Li, Jian;  Hu, Bingliang;  Wang, Quan;  Luo, Rong
Adobe PDF(5015Kb)  |  收藏  |  浏览/下载：23/0  |  提交时间：2024/07/15
Epilepsy  Electroencephalogram  Sharp wave extraction  Machine learning  Random forest  Residual network  
A Snapshot Multi-Spectral Demosaicing Method for Multi-Spectral Filter Array Images Based on Channel Attention Network 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 3
作者:  Zhang, Xuejun;  Dai, Yidan;  Zhang, Geng;  Zhang, Xuemin;  Hu, Bingliang
Adobe PDF(2829Kb)  |  收藏  |  浏览/下载：61/0  |  提交时间：2024/03/15
multi-spectral filter array  demosaicing  convolution neural network  
CMID: Crossmodal Image Denoising via Pixel-Wise Deep Reinforcement Learning 期刊论文
Sensors, 2024, 卷号: 24, 期号: 1
作者:  Guo, Yi;  Gao, Yuanhang;  Hu, Bingliang;  Qian, Xueming;  Liang, Dong
Adobe PDF(1987Kb)  |  收藏  |  浏览/下载：55/0  |  提交时间：2024/02/07
deep reinforcement learning  pixel-wise image processing  crossmodal image denoising  infrared image denoising  terahertz image denoising  
Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology 期刊论文
SENSORS, 2024, 卷号: 24, 期号: 2
作者:  Du, Jian;  Tao, Chenglong;  Qi, Meijie;  Hu, Bingliang;  Zhang, Zhoufeng
Adobe PDF(11828Kb)  |  收藏  |  浏览/下载：72/1  |  提交时间：2024/03/04
micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning