中文版 | English

在结果中检索

CASIA 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：
A Soft Sensor with Light and Efficient Multi-scale Feature Method for Multiple Sampling Rates in Industrial Processing 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 400-410
作者:  Dezheng Wang;  Yinglong Wang;  Fan Yang;  Liyang Xu;  Yinong Zhang;  Yiran Chen;  Ning Liao
Adobe PDF(3208Kb)  |  收藏  |  浏览/下载：13/2  |  提交时间：2024/04/23
Multi-scale, feature extractor, deep neural network (DNN), multirate sampled industrial processes, prediction  
Adaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 331-348
作者:  Guanghui Shi;  Shasha Mao;  Shuiping Gou;  Dandan Yan;  Licheng Jiao;  Lin Xiong
Adobe PDF(3926Kb)  |  收藏  |  浏览/下载：7/2  |  提交时间：2024/04/23
Facial expression recognition, deep neural network, multiple network ensemble, attention network, facial crucial regions  
Text Difficulty Study: Do Machines Behave the Same as Humans Regarding Text Difficulty? 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 283-293
作者:  Bowen Chen;  Xiao Ding;  Yi Zhao;  Bo Fu;  Tingmao Lin;  Bing Qin;  Ting Liu
Adobe PDF(1796Kb)  |  收藏  |  浏览/下载：8/1  |  提交时间：2024/04/23
Cognition inspired natural language processing, psycholinguistics, explainability, text difficulty, curriculum learning  
The Life Cycle of Knowledge in Big Language Models: A Survey 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 2, 页码: 217-238
作者:  Boxi Cao;  Hongyu Lin;  Xianpei Han;  Le Sun
Adobe PDF(1430Kb)  |  收藏  |  浏览/下载：9/2  |  提交时间：2024/04/23
Pre-trained language model, knowledge acquisition, knowledge representation, knowledge probing, knowledge editing, knowledge application  
Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 5, 页码: 1092-1105
作者:  MengChu Zhou;  Meiji Cui;  Dian Xu;  Shuwei Zhu;  Ziyan Zhao;  Abdullah Abusorrah
Adobe PDF(2100Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/04/10
Evolutionary algorithm (EA)  high-dimensional expensive problems (HEPs)  industrial applications  surrogate-assisted optimization  
Detection of Oscillations in Process Control Loops From Visual Image Space Using Deep Convolutional Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 982-995
作者:  Tao Wang;  Qiming Chen;  Xun Lang;  Lei Xie;  Peng Li;  Hongye Su
Adobe PDF(3095Kb)  |  收藏  |  浏览/下载：31/11  |  提交时间：2024/03/18
Convolutional neural networks (CNNs)  deep learning  image processing  oscillation detection  process industries  
A Weakly-Supervised Crowd Density Estimation Method Based on Two-Stage Linear Feature Calibration 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 965-981
作者:  Yong-Chao Li;  Rui-Sheng Jia;  Ying-Xiang Hu;  Hong-Mei Sun
Adobe PDF(10448Kb)  |  收藏  |  浏览/下载：21/8  |  提交时间：2024/03/18
Crowd density estimation  linear feature calibration  vision transformer  weakly-supervision learning  
A Novel Sensing Imaging Equipment Under Extremely Dim Light for Blast Furnace Burden Surface: Starlight High-Temperature Industrial Endoscope 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 893-906
作者:  Zhipeng Chen;  Xinyi Wang;  Weihua Gui;  Jilin Zhu;  Chunhua Yang;  Zhaohui Jiang
Adobe PDF(11937Kb)  |  收藏  |  浏览/下载：17/3  |  提交时间：2024/03/18
Blast furnace (BF)  burden surface  extremely dim light  industrial endoscope  sensing imaging  starlight  
Cybersecurity Landscape on Remote State Estimation: A Comprehensive Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 851-865
作者:  Jing Zhou;  Jun Shang;  Tongwen Chen
Adobe PDF(1169Kb)  |  收藏  |  浏览/下载：17/4  |  提交时间：2024/03/18
Cyber-attacks  Kalman filtering  remote state estimation  unreliable transmission channels  
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 824-850
作者:  M. Victoria Luzón;  Nuria Rodríguez-Barroso;  Alberto Argente-Garrido;  Daniel Jiménez-López;  Jose M. Moyano;  Javier Del Ser;  Weiping Ding;  Francisco Herrera
Adobe PDF(4602Kb)  |  收藏  |  浏览/下载：18/5  |  提交时间：2024/03/18
Data privacy  distributed machine learning  federated learning  software frameworks