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检索条件"机构=The Key Laboratory of Intelligent Computing and Signal Processing"
3684 条 记 录,以下是261-270 订阅
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A Fusion Shallow and Deep Features Network for Facial StO2 Stress Classification  6
A Fusion Shallow and Deep Features Network for Facial StO2 S...
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6th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2023
作者: Xia, Haolin Sun, Sirui Liu, Xinyu Zhou, Ju Wang, Hanpu Chen, Tong School of Electronic and Information Engineering Southwest University Chongqing China Key Laboratory of Non-Linear Circuit and Intelligent Information Processing of Chongqing Chongqing China Institute of Legal Psychology and Intelligent Computing Chongqing China
Stress is an emotional state that affects our lives, so it is vital to detect it accurately. Numerous studies have shown that tissue oxygen saturation (StO2) is an effective physiological signal for identifying differ... 详细信息
来源: 评论
Data secure transmission intelligent prediction algorithm for mobile industrial IoT networks
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Digital Communications and Networks 2023年 第2期9卷 400-410页
作者: Lingwei Xu Hao Yin Hong Jia Wenzhong Lin Xinpeng Zhou Yong Fu Xu Yu Department of Information Science and Technology Qingdao University of Science and TechnologyQingdao266061China Fujian Key Laboratory of Sensing and Computing for Smart Cities Xiamen UniversityXiamen361005China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control(Minjiang University) Fuzhou350121China Faculty of Information Science and Engineering Ocean University of ChinaQingdao266100China Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center(National Supercomputer Center in Jinan)JinanChina
Mobile Industrial Internet of Things(IIoT)applications have achieved the explosive growth in recent *** mobile IIoT has flourished and become the backbone of the industry,laying a solid foundation for the interconnect... 详细信息
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IGED:Towards intelligent DDoS Detection Model Using Improved Generalized Entropy and DNN
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Computers, Materials & Continua 2024年 第8期80卷 1851-1866页
作者: Yanhua Liu Yuting Han HuiChen Baokang Zhao XiaofengWang Ximeng Liu College of Computer and Data Science Fuzhou UniversityFuzhou350108China Engineering Research Center of Big Data Intelligence Ministry of EducationFuzhou350108China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou UniversityFuzhou350108China College of Computer National University of Defense TechnologyChangsha410073China
As the scale of the networks continually expands,the detection of distributed denial of service(DDoS)attacks has become increasingly *** propose an intelligent detection model named IGED by using improved generalized ... 详细信息
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Adaptively feature matching via joint transformational-spatial clustering
Adaptively feature matching via joint transformational-spati...
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作者: Wang, Linbo Tan, Li Fang, Xianyong Guo, Yanwen Wan, Shaohua MOE Key Laboratory of Intelligent Computing and Signal Processing School of Computer Science and Technology Anhui University Hefei China National Key Lab for Novel Software Technology Nanjing University Nanjing China School of Information and Safety Engineering Zhongnan University of Economics and Law Wuhan China
The transformational and spatial proximities are important cues for identifying inliers from an appearance based match set because correct matches generally stay close in input images and share similar local transform... 详细信息
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Deep Representation Learning for Electron Ionization Mass Spectra Retrieval
Deep Representation Learning for Electron Ionization Mass Sp...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Liu, Shibo Zhang, Xuan Jiao, Anlei Sun, Shiwei Dian, Longyang Cui, Xuefeng Shandong University School of Computer Science and Technology Qingdao China Chinese Academy of Sciences Key Lab of Intelligent Information Processing Institute of Computing Technology Beijing China Shandong University State Key Laboratory of Microbial Technology Qingdao China
The task of retrieving and analyzing mass spectra is indispensable for the identification of compounds in mass spectrometry (MS). This methodology is of critical importance as it enables researchers to correlate obser... 详细信息
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A Novel Broadband EBG Structure For Simultaneous Switching Noise Suppression
A Novel Broadband EBG Structure For Simultaneous Switching N...
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2023 International Applied Computational Electromagnetics Society Symposium, ACES-Monterey 2023
作者: Sun, Guoxing Yan, Yeqiang Ren, Xingang Cai, Xueyuan Wu, Bo Ju, Huping Tao, Wei Wang, Gang Zou, Bao Huang, Zhixiang Wu, Xianliang Anhui Province Key Laboratory of Target Recognition and Feature Extraction Luan23700 China Engineering Technology Research Center of Specific Power Devices with Novel Semiconductor Materials Anhui Province Chizhou247100 China Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei230601 China
In this paper, a compact electromagnetic bandgap (EBG) structure for suppressing simultaneous switching noise (SSN) in high-speed circuits is proposed. At the bandwidth level of 0.35GHz to 20GHz, an ultra-wideband SSN... 详细信息
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Transient Electro-thermal and Bandgap Narrowing Analysis of the bipolar transistor
Transient Electro-thermal and Bandgap Narrowing Analysis of ...
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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
作者: Xiao, Hui Ren, Xingang Yan, Yeqiang Huang, Zhixiang Wu, Xianliang Anhui Province Key Laboratory of Target Recognition and Feature Extraction Luan23700 China Engineering Technology Research Center of Specific Power Devices with Novel Semiconductor Materials Anhui Province Chizhou247100 China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Hefei230601 China
Given the bandgap narrowing (BGN) effect caused by heavy doping of the bipolar transistor and the self-heating effect (SHE) in the practical work environment, a transient electro-thermal and bandgap narrowing model is... 详细信息
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A Joint Learning Sentiment Analysis Method Incorporating Emoji-Augmentation  8
A Joint Learning Sentiment Analysis Method Incorporating Emo...
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8th IEEE International Conference on Cloud computing and Intelligence Systems, CCIS 2022
作者: Chen, Jie Luo, Luping Ji, Bojing Zhao, Shu Zhang, Yanping Anhui University The Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology China Chizhou University School of Big Data and Artificial Intelligence China
Social media is the platform for most people to share their opinions, emojis are also widely used to express moods, emotions, and feelings on social media. There have been many researched on emojis and sentiment analy... 详细信息
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Accelerating Unsupervised Federated Graph Neural Networks via Semi-asynchronous Communication  18th
Accelerating Unsupervised Federated Graph Neural Networks vi...
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18th CCF Conference on Computer Supported Cooperative Work and Social computing, ChineseCSCW 2023
作者: Liao, Yuanming Wu, Duanji Lin, Pengyu Guo, Kun College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou350108 China Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou350108 China
Graph neural networks have shown excellent performance in many fields owing to their powerful processing ability of graph data. In recent years, federated graph neural network has become a reasonable solution due to t... 详细信息
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Reduced-search guessing random additive noise decoding of polar codes
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Science China(Information Sciences) 2023年 第2期66卷 283-284页
作者: Kefan WANG Yuejun WEI Zhenyuan CHEN Huarui YIN Liping LI Wenyi ZHANG Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China Anhui University Huawei Technologies Department of Electronic Engineering and Information Science University of Science and Technology of China
Guessing random additive noise decoding(GRAND) has attracted researchers since its introduction in [1]. For an additive noise channel with hard decision output, the algorithm checks all error patterns, and it schedule...
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