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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：62/1  |  提交时间：2024/03/04
micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning  
Motion Capture for Sporting Events Based on Graph Convolutional Neural Networks and Single Target Pose Estimation Algorithms 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 13
作者:  Duan, Chengpeng;  Hu, Bingliang;  Liu, Wei;  Song, Jie
Adobe PDF(9092Kb)  |  收藏  |  浏览/下载：83/0  |  提交时间：2023/08/16
single-target pose estimation  graph convolutional neural network  deep learning  target detection  
Recent advances of lanthanide nanomaterials in Tumor NIR fluorescence detection and treatment 期刊论文
MATERIALS TODAY BIO, 2023, 卷号: 20
作者:  Fan, Qi;  Sun, Chao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(4376Kb)  |  收藏  |  浏览/下载：92/0  |  提交时间：2023/09/11
Lanthanide nanomaterials  Medical diagnosis  Therapy  Rare earths  Near infrared window  Fluorescence imaging  
Automatic Seizure Detection and Prediction Based on Brain Connectivity Features and a CNNsMeet Transformers Classifier 期刊论文
BRAIN SCIENCES, 2023, 卷号: 13, 期号: 5
作者:  Tian, Ziwei;  Hu, Bingliang;  Si, Yang;  Wang, Quan
Adobe PDF(3837Kb)  |  收藏  |  浏览/下载：45/0  |  提交时间：2023/07/05
epileptic state classification  EEG  brain connectivity  support vector machine  CNNs  meet transformers  
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：62/0  |  提交时间：2024/03/26
Sanxingdui  cultural relic  spatial features  hyperspectral  integration  
Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2022, 卷号: 43, 期号: 19-24, 页码: 6957-6978
作者:  Liu, Hong;  Hou, Xingsong;  Hu, Bingliang;  Yu, Tao;  Zhang, Zhoufeng;  Liu, Xiao;  Liu, Jiacheng;  Wang, Xueji;  Zhong, Jingjing;  Tan, Zhengxuan
Adobe PDF(5386Kb)  |  收藏  |  浏览/下载：99/0  |  提交时间：2023/02/06
Effect of pupil matching of cold shield on the fringe contrast of long-wave infrared spatial heterodyne spectroscopy 期刊论文
Applied Optics, 2021, 卷号: 60, 期号: 29, 页码: 9241-9248
作者:  Han, Bin;  Feng, Yutao;  Zhang, Zhaohui;  Wu, Junqiang;  Wu, Yang;  Sun, Jian;  Wang, Pengchong;  Chang, Chenguang;  Li, Juan;  Zhao, Yudi;  Hu, Bingliang
Adobe PDF(6338Kb)  |  收藏  |  浏览/下载：212/2  |  提交时间：2021/10/25
Uav-borne hyperspectral imaging remote sensing system based on acousto-optic tunable filter for water quality monitoring 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 20
作者:  Liu, Hong;  Yu, Tao;  Hu, Bingliang;  Hou, Xingsong;  Zhang, Zhoufeng;  Liu, Xiao;  Liu, Jiacheng;  Wang, Xueji;  Zhong, Jingjing;  Tan, Zhengxuan;  Xia, Shaoxia;  Qian, Bao
Adobe PDF(115362Kb)  |  收藏  |  浏览/下载：139/1  |  提交时间：2021/11/01
hyperspectral imaging  acousto-optic tunable filter  UAV platform  remote sensing  water quality monitoring  
Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, 2019-08-28
作者:  Jia, Xinyin;  Li, Siyuan;  Ke, Shanliang;  Hu, Bingliang
Adobe PDF(506Kb)  |  收藏  |  浏览/下载：282/2  |  提交时间：2020/03/23
Bathymetry maps  satellite-borne hyperspectral imagers  LiDAR  coastal zone  
On-chip optical isolator based on unidirectional wavelength-mode conversion waveguide 期刊论文
MODERN PHYSICS LETTERS B, 2018, 卷号: 32, 期号: 22
作者:  Liu, Wenlong;  Liu, Xuebin;  Yan, Qiangqiang;  Qiang, Simiao;  Pi, Haifeng;  Hu, Bingliang;  Zhang, Lingxuan
Adobe PDF(1909Kb)  |  收藏  |  浏览/下载：170/2  |  提交时间：2018/09/18
Integrated Optoelectronics  Optical Isolators  Wavelength Conversion  Light Modulation  Conversion Efficiency