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检索条件"机构=Key Laboratory of Advanced and Intelligent Computing"
641 条 记 录,以下是21-30 订阅
排序:
K-MEANS CLUSTERING BASED SPARSE CROSS-ENTROPY MINIMIZATION ALGORITHM FOR DOA ESTIMATION
K-MEANS CLUSTERING BASED SPARSE CROSS-ENTROPY MINIMIZATION A...
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IET International Radar Conference 2023, IRC 2023
作者: Guo, Qiang Jiang, Hanyu Xiang, Jianhong Zhong, Yu College of Information and Communication Harbin Engineering University Harbin China Key Laboratory of Advanced Ship Communication and Information Technology Harbin Engineering University Harbin China Agile and Intelligent Computing Key Laboratory Chengdu China
Aiming at the problem that traditional greedy class compressed sensing algorithms are influenced by noise in the estimation of direction of arrival (DOA), this paper proposes the K-Means Clustering based Sparse Cross-... 详细信息
来源: 评论
Optimal Tracking Performance of Networked Control Systems Under DoS and Its Applications
Optimal Tracking Performance of Networked Control Systems Un...
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2024 China Automation Congress, CAC 2024
作者: Ren, Xinyu Li, Bo Zhao, Feng Chen, Xiangyong Zhang, Xianhe Jiang, Xiaowei School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation of Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Finance Anhui University of Finance and Economics Bengbu China Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Automation and Electrical Engineering Key Laboratory of Complex systems and Intelligent Computing in Universities of Shandong Linyi University Linyi China School of Electrical Engineering and Automation Hubei Normal University Huangshi China
This paper investigates the optimal tracking performance (OTP) of multiple-input multiple-output (MIMO) discrete networked control systems (NCSs) under the influence of Denial of Service (DoS) attack, channel noise, a... 详细信息
来源: 评论
Data quantity governance for machine learning in materials science
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National Science Review 2023年 第7期10卷 234-250页
作者: Yue Liu Zhengwei Yang Xinxin Zou Shuchang Ma Dahui Liu Maxim Avdeev Siqi Shi School of Computer Engineering and Science Shanghai University Shanghai Engineering Research Center of Intelligent Computing System Australian Nuclear Science and Technology Organisation School of Chemistry The University of Sydney State Key Laboratory of Advanced Special Steel School of Materials Science and Engineering Shanghai University Materials Genome Institute Shanghai University
Data-driven machine learning(ML) is widely employed in the analysis of materials structure-activity relationships,performance optimization and materials design due to its superior ability to reveal latent data pattern... 详细信息
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Speech Emotion Recognition using Channel Attention Mechanism  4
Speech Emotion Recognition using Channel Attention Mechanism
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4th International Conference on Computer Engineering and Application, ICCEA 2023
作者: Zhu, Ruifeng Sun, Caixia Wei, Xiaopeng Zhao, Lasheng Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian China School of Computer Science and Technology Dalian University of Technology Dalian China
In order to improve the accuracy of speech emotion recognition, this paper proposes a speech emotion recognition method based on the channel attention mechanism. Firstly, Mel Frequency Ceptral Coefficient(MFCC), speec... 详细信息
来源: 评论
Performance Verification of Smith Predictor Control Using IMC Scheme via Chemical Reaction Networks and DNA Strand Displacement Reaction  9
Performance Verification of Smith Predictor Control Using IM...
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9th IEEE Smart World Congress, SWC 2023
作者: Yao, Jingwang Lv, Hui Xiao, Yijun Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110004 China
Biochemical process control is often achieved through feedback control strategies for theoretical analysis and optimization of biochemical reaction processes. Here, the design improves the robustness of the biochemica... 详细信息
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A Meta-learning-based Domain-invariant Method for Cuff-less Blood Pressure Estimation  10
A Meta-learning-based Domain-invariant Method for Cuff-less ...
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10th IEEE Smart World Congress, SWC 2024
作者: Guo, Jinpeng Fan, Feiyi Liu, Renju Jin, Yuan Zhang, Wei Chen, Yiqiang Gu, Yang Zhengzhou University Henan Institute of Advanced Technology Zhengzhou China Chinese Academy of Sciences Institute of Computing Technology Beijing China The Beijing Key Laboratory of Mobile Computing and Pervasive Device Beijing China Intelligent Technology Co. Ltd. Shenzhen China
Cuff-less blood pressure estimation methods usually require personalized fine-tuning to achieve better estimation accuracy due to significant inter-individual data variability. The emerging domain generalization metho... 详细信息
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A Text Structure-based Extractive And Abstractive Summarization Method  7
A Text Structure-based Extractive And Abstractive Summarizat...
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7th International Conference on intelligent computing and Signal Processing, ICSP 2022
作者: Yan, Jing Zhou, Shihua Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian China
Extraction summarization and abstraction summarization have advantages and disadvantages, so how to better combine these two ways has become a difficult problem. To address this challenge, this paper proposed a new fu... 详细信息
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Adaptive Neural Tracking Control for Nonlinear Servo System with Unknown Time-Varying Parameters and Uncertainties  42
Adaptive Neural Tracking Control for Nonlinear Servo System ...
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42nd Chinese Control Conference, CCC 2023
作者: Zhang, Faxiang Gao, Guanbin Na, Jing Wu, Jiande Kunming University of Science and Technology Faculty of Mechanical and Electrical Engineering Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment Kunming650500 China Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Kunming650500 China
This paper solves the neural network (NN) tracking control problem for uncertain nonlinear servo system with time-varying parameters and uncertainties. To address the uncertain nonlinear function with unknown time-var... 详细信息
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Automatic Depression Detection Network Based on Facial Images and Facial Landmarks Feature Fusion
Automatic Depression Detection Network Based on Facial Image...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Hu, Min Xu, Lingxiang Liu, Lei Wang, Xiaohua Li, Hongbo Yang, Jiaoyun Hefei University of Technology Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei China Hefei University of Technology National Smart Eldercare International Science and Technology Cooperation Base Hefei China Hefei University of Technology Intelligent Interconnected Systems Laboratory of Anhui Province Hefei China
Artificial intelligence methods offer objectivity and convenience in automatic depression detection, however, current research often neglects the critical role of facial landmarks. This oversight results in insufficie... 详细信息
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Robust keyword Spotting Based on Long-Term Feature Fusion and Band-Weighted Normalization
Robust Keyword Spotting Based on Long-Term Feature Fusion an...
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Computer Information Science and Application Technology (CISAT), International Conference on
作者: Zepeng Qiu Lasheng Zhao Ling Wang Tingting Zhang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China
Currently, convolution-based models for keyword spotting focus predominantly on research conducted in clean speech environments. However, their recognition accuracy is lower in low signal-to-noise ratio conditions. To... 详细信息
来源: 评论