OPT OpenIR

浏览/检索结果: 共22条,第1-10条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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:70/0  |  提交时间:2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
Extraction and analysis algorithms for Sanxingdui cultural relics based on hyperspectral imaging 期刊论文
Computers and Electrical Engineering, 2023, 卷号: 111
作者:  Qiu, Shi;  Zhang, Pengchang;  Li, Siyuan;  Hu, Bingliang
Adobe PDF(8586Kb)  |  收藏  |  浏览/下载:42/0  |  提交时间:2023/10/30
Sanxingdui Ruins  Hyperspectral  Unet  FCM  
Event-related potentials reveal visual episodic memory deficits in patients with temporal lobe epilepsy 期刊论文
EPILEPSY & BEHAVIOR, 2023, 卷号: 148
作者:  Tian, Ziwei;  Huang, Sha;  Wen, Shirui;  Zhang, Qiong;  Huang, Kailing;  Gui, Yawei;  Hu, Bingliang;  Feng, Li;  Wang, Quan
Adobe PDF(2787Kb)  |  收藏  |  浏览/下载:70/0  |  提交时间:2023/12/06
Temporal lobe epilepsy  Episodic memory  ERP  FN400  LPC  LPN  
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:35/1  |  提交时间:2024/02/29
Design and Analysis of a Stable Support Structure for a Near-Infrared Space-Borne Doppler Asymmetric Spatial Heterodyne Interferometer 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 18
作者:  Sun, Jian;  Wang, Wei;  Chang, Chenguang;  Fu, Di;  Hao, Xiongbo;  Li, Juan;  Feng, Yutao;  Hu, Bingliang
Adobe PDF(10807Kb)  |  收藏  |  浏览/下载:55/0  |  提交时间:2023/11/02
DASH interferometer  spectral resolution  optimal structure  spring constant  mechanical stress  shear stress  
Temporal transformer-spatial graph convolutional network: an intelligent classification model for anti N-methyl-D-aspartate receptor encephalitis based on electroencephalogram signal 期刊论文
FRONTIERS MEDIA SA, 2023, 卷号: 17
作者:  Dang, Ruochen;  Yu, Tao;  Hu, Bingliang;  Wang, Yuqi;  Pan, Zhibin;  Luo, Rong;  Wang, Quan
Adobe PDF(1349Kb)  |  收藏  |  浏览/下载:56/0  |  提交时间:2023/10/10
anti NMDA receptor encephalitis  viral encephalitis  EEG  transformer  graph network  classification  
Automated pattern generation for swarm robots using constrained multi-objective genetic programming 期刊论文
SWARM AND EVOLUTIONARY COMPUTATION, 2023, 卷号: 81
作者:  Fan, Zhun;  Wang, Zhaojun;  Li, Wenji;  Zhu, Xiaomin;  Hu, Bingliang;  Zou, An-Min;  Bao, Weidong;  Gu, Minqiang;  Hao, Zhifeng;  Jin, Yaochu
Adobe PDF(3731Kb)  |  收藏  |  浏览/下载:49/0  |  提交时间:2023/07/17
Gene regulatory network (GRN)  Entrapping pattern generation  Self-organization  Constrained multi-objective genetic  programming (CMOGP)  
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:61/0  |  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:77/0  |  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:41/0  |  提交时间:2023/07/05
epileptic state classification  EEG  brain connectivity  support vector machine  CNNs  meet transformers