中文版 | English

在结果中检索

OPT OpenIR

浏览/检索结果: 共191条，第1-10条 帮助

限定条件                
已选(0)清除 条数/页：   排序方式：
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：13/0  |  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：28/0  |  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：31/0  |  提交时间：2024/02/07
deep reinforcement learning  pixel-wise image processing  crossmodal image denoising  infrared image denoising  terahertz image denoising  
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  
Unsupervised real image super-resolution via knowledge distillation network 期刊论文
COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 卷号: 234
作者:  Yuan, Nianzeng;  Sun, Bangyong;  Zheng, Xiangtao
Adobe PDF(6023Kb)  |  收藏  |  浏览/下载：48/0  |  提交时间：2023/08/14
Super-resolution  Knowledge distillation  Degradation module  Convolutional neural network  
Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 18
作者:  Wang, Nan;  Shi, Yuetian;  Li, Haiwei;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(4511Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/10/27
hyperspectral anomaly detection  deep learning  band selection  autoencoder  
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 4, 页码: 3832-3845
作者:  Tang, Yunbo;  Chen, Dan;  Zuo, Yiping;  Lu, Xiaoqiang;  Ranjan, Rajiv;  Zomaya, Albert Y. Y.;  Yao, Quanming;  Li, Xiaoli
Adobe PDF(1911Kb)  |  收藏  |  浏览/下载：46/0  |  提交时间：2023/05/05
Electroencephalography  Bayes methods  Tensors  Brain modeling  Feature extraction  Time series analysis  Time-frequency analysis  Multivariate time series  Bayesian factorization  sparsity prior  structural feature construction  
Nested multi-scale transform fusion model: The response evaluation of chemoradiotherapy for patients with lung tumors 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 卷号: 232
作者:  Zhou, Tao;  Liu, Shan;  Lu, Huiling;  Bai, Jing;  Zhi, Lijia;  Shi, Qiu
Adobe PDF(4419Kb)  |  收藏  |  浏览/下载：57/0  |  提交时间：2023/04/14
AS-REC  LATLRR  Lung tumors  NSCT  PET  CT fusion  
Low-Light Image Enhancement by Combining Transformer and Convolutional Neural Network 期刊论文
MATHEMATICS, 2023, 卷号: 11, 期号: 7
作者:  Yuan, Nianzeng;  Zhao, Xingyun;  Sun, Bangyong;  Han, Wenjia;  Tan, Jiahai;  Duan, Tao;  Gao, Xiaomei
Adobe PDF(5302Kb)  |  收藏  |  浏览/下载：76/1  |  提交时间：2023/05/06
image processing  deep learning  low-light image enhancement  self-attention mechanism  
Nonlinear image translation using adaptive rectifier with structure adaption 期刊论文
JOURNAL OF ELECTRONIC IMAGING, 2023, 卷号: 32, 期号: 2
作者:  Zhang, Yipeng;  Hu, Bingliang;  Ning, Hailong;  Wang, Quan
Adobe PDF(7094Kb)  |  收藏  |  浏览/下载：62/0  |  提交时间：2023/07/03
image translation  generative adversarial networks  activation function  deep learning