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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:34/0  |  提交时间:2024/04/08
Raman spectroscopy  Quantitative analysis  Deep learning  Spectral encoder  Feature extraction  
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:49/0  |  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:50/0  |  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:65/1  |  提交时间:2024/03/04
micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning  
Deep neural network: As the novel pipelines in multiple preprocessing for Raman spectroscopy 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 302
作者:  Gao, Chi;  Zhao, Peng;  Fan, Qi;  Jing, Haonan;  Dang, Ruochen;  Sun, Weifeng;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2962Kb)  |  收藏  |  浏览/下载:88/0  |  提交时间:2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
An eye tracking investigation of attention mechanism in driving behavior under emotional issues and cognitive load 期刊论文
SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1
作者:  Wang, Quan;  Zhu, Feiyu;  Dang, Ruochen;  Wei, Xiaojie;  Han, Gongen;  Huang, Jinhua;  Hu, Bingliang
Adobe PDF(2498Kb)  |  收藏  |  浏览/下载:53/1  |  提交时间:2024/02/29
A pupil detection method based on Unet with attention module and shape-prior loss 会议论文
AOPC 2022: Optical Spectroscopy and Imaging, Virtual, Online, China, 2022-12-18
作者:  Song, Wenhui;  Wang, Hui;  Gui, Yawei;  Dang, Ruochen;  Hu, Bingliang;  Wang, Quan
Adobe PDF(530Kb)  |  收藏  |  浏览/下载:86/0  |  提交时间:2023/03/13
pupil detection  Infrared and visible light images  Unet  attention mechanism  shape-prior loss  data augmentation  
Sanxingdui Cultural Relics Recognition Algorithm Based on Hyperspectral Multi-Network Fusion 期刊论文
CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 卷号: 77, 期号: 3, 页码: 3783-3800
作者:  Qiu, Shi;  Zhang, Pengchang;  Tang, Xingjia;  Zeng, Zimu;  Zhang, Miao;  Hu, Bingliang
Adobe PDF(2336Kb)  |  收藏  |  浏览/下载:64/0  |  提交时间:2024/03/26
Sanxingdui  cultural relic  spatial features  hyperspectral  integration  
Transformer-based factorized encoder for classification of pneumoconiosis on 3D CT images 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 150
作者:  Huang, Yingying;  Si, Yang;  Hu, Bingliang;  Zhang, Yan;  Wu, Shuang;  Wu, Dongsheng;  Wang, Quan
Adobe PDF(4510Kb)  |  收藏  |  浏览/下载:120/3  |  提交时间:2022/11/29
Transformer-based factorized encoder  3D convolutional autoencoder  Intra-slice interaction  Inter-slice interaction  
Retrieval of Water Quality Parameters Based on Near-Surface Remote Sensing and Machine Learning Algorithm 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 21
作者:  Zhao, Yubo;  Yu, Tao;  Hu, Bingliang;  Zhang, Zhoufeng;  Liu, Yuyang;  Liu, Xiao;  Liu, Hong;  Liu, Jiacheng;  Wang, Xueji;  Song, Shuyao
Adobe PDF(6255Kb)  |  收藏  |  浏览/下载:108/0  |  提交时间:2022/12/02
water quality monitoring  near-surface remote sensing  machine learning algorithm  ensemble learning model