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检索条件"机构=Jiangsu Provincial Key Laboratory of Computer Network Technology"
1152 条 记 录,以下是21-30 订阅
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Rotational Doppler effect using ultra-dense vector perfect vortex beams
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Photonics Research 2025年 第2期13卷 468-476页
作者: JIANBO GAO XINGYUAN LU XUECHUN ZHAO ZHUOYI WANG JUNAN ZHU ZHIQUAN HU JINGJING HE QIWEN ZHAN YANGJIAN CAI CHENGLIANG ZHAO School of Physical Science and Technology Jiangsu Key Laboratory of Frontier Material Physics and DevicesSoochow University School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shandong Provincial Engineering and Technical Center of Light Manipulations&Shandong Provincial Key Laboratory of Optics and Photonic Device School of Physics and ElectronicsShandong Normal University Shandong Joint Research Center of Light Manipulation Science and Photonics Integrated Chip of East China Normal University and Shandong Normal University East China Normal University
The rotational Doppler effect holds significant potential for remote sensing of rotating objects due to its real-time performance and non-contact advantages.A single-ring beam is used to measure rotation *** enhance t... 详细信息
来源: 评论
Source-free Domain Adaptation with Multiple Alignment for Efficient Image Retrieval
Source-free Domain Adaptation with Multiple Alignment for Ef...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Jinghui Ni Hui Cui Lihai Zhao Fengling Li Xiaohui Han Lijuan Xu Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Qilu University of Technology (Shandong Academy of Sciences) Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Quan Cheng Laboratory Shandong Open University University of Technology Sydney
Domain adaptation techniques help models generalize to target domains by addressing domain discrepancies between the source and target domain data distributions. These techniques are particularly valuable for cross-do... 详细信息
来源: 评论
UAV Swarm Path Planning for Sensor Data Collection via Double Pre-Partitioned Deep Q-network
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IEEE Sensors Journal 2025年
作者: Zhang, Heng Gao, Yuan Wang, Xin He, Yunpeng Yang, Ming Wu, Xiaoming Yang, Chaoqun Cao, Xianghui Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center Jinan250014 China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Industrial Network and Information System Security Jinan250014 China Jiangsu Ocean University School of Computer Engineering Lianyungang222000 China Southeast University School of Automation Nanjing210096 China
Collision-free path planning is a significant challenge in deploying unmanned aerial vehicle (UAV) swarms for sensor data collection tasks, particularly in uncertain environments. This paper addresses the problem of d... 详细信息
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FM-FCN:A Neural network with Filtering Modules for Accurate Vital Signs Extraction
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Research 2025年 第1期2024卷 92-106页
作者: Fangfang Zhu Qichao Niu Xiang Li Qi Zhao Honghong Su Jianwei Shuai Department of Physics and Fujian Provincial Key Laboratory for Soft Functional Materials ResearchXiamen UniversityXiamen 361005China National Institute for Data Science in Health and Medicine and State Key Laboratory of Cellular Stress BiologyInnovation Center for Cell Signaling NetworkXiamen UniversityXiamen 361005China Vitalsilicon Technology Co.Ltd. JiaxingZhejiang 314006China School of Computer Science and Software Engineering University of Science and Technology LiaoningAnshan 114051China Yangtze Delta Region Institute of Tsinghua University ZhejiangJiaxing 314006China Wenzhou Institute University of Chinese Academy of SciencesWenzhou 325001China Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou 325001China
Neural networks excel at capturing local spatial patterns through convolutional modules,but they may struggle to identify and effectively utilize the morphological and amplitude periodic nature of physiological *** th... 详细信息
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Multi-photon neuron embedded bionic skin for high-precision complex texture and object reconstruction perception research
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Opto-Electronic Advances 2025年 第2期8卷 29-44页
作者: Hongyu Zhou Chao Zhang Hengchang Nong Junjie Weng Dongying Wang Yang Yu Jianfa Zhang Chaofan Zhang Jinran Yu Zhaojian Zhang Huan Chen Zhenrong Zhang Junbo Yang College of Science National University of Defense TechnologyChangsha 410073China Key Laboratory of Multimedia Communication and Network Technology in Guangxi School of ComputerElectronics and InformationGuangxi UniversityNanning 530004China College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China Hunan Provincial Key Laboratory of Novel Nano-Optoelectronic Information Materials and DevicesNational University of Defense TechnologyChangsha 410073China College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangsha 410073China
Attributable to the complex distribution of tactile vesicles under the skin and the ability of the brain to process specific tactile parameters(shape,hardness,and surface texture),human skin can have the capacity for ... 详细信息
来源: 评论
Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection
Semantic-Aware Prompt Learning for Multimodal Sarcasm Detect...
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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025
作者: Wang, Guangjin Wang, Bao Xu, Fuyong Zhu, Zhenfang Wang, Peipei Wang, Ru Liu, Peiyu School of Information Science and Engineering Shandong Normal University Jinan China School of Information Science and Electrical Engineering Shandong Jiao Tong University Jinan China Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China
Multimodal sarcasm detection aims to identify whether utterances express sarcastic intentions contrary to their literal meaning based on multimodal information. However, existing methods fail to explore the model'... 详细信息
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Multimodal depression recognition and analysis: Facial expression and body posture changes via emotional stimuli
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Journal of Affective Disorders 2025年 381卷 44-54页
作者: Liu, Yang Li, Xingyun Wang, Mengqi Bi, Jianlu Lin, Shaoqin Wang, Qingxiang Yu, Yanhong Ye, Jiayu Zheng, Yunshao Endocrinology The Fifth Clinical College of Guangzhou University of Chinese Medicine Guangzhou 510095 China Gansu Provincial Key Laboratory of Wearable Computing School of Information Science and Engineering Lanzhou University Lanzhou 730000 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Qilu University of Technology (Shandong Academy of Science) Jinan 250353 China Shandong Mental Health Center Shandong University Jinan 250014 China College of Traditional Chinese Medicine Shandong University of Traditional Chinese Medicine Jinan 250355 China School of Computer Science Guangdong University of Technology Guangzhou 510006 China Endocrinology Guangdong Provincial Second Hospital of Traditional Chinese Medicine Guangzhou 510095 China
Background: Clinical studies have shown that facial expressions and body posture in depressed patients differ significantly from those of healthy individuals. Combining relevant behavioral features with artificial int... 详细信息
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Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes  34
Time-aware Medication Recommendation via Intervention of Dyn...
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34th ACM Web Conference, WWW 2025
作者: Li, Yishuo Zhang, Qi Lu, Wenpeng Peng, Xueping Zhang, Weiyu Si, Jiasheng Gong, Yongshun Hu, Liang Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China Department of Computer Science and Technology Tongji University Shanghai China Australian Artificial Intelligence Institute University of Technology Sydney Sydney Australia School of Software Shandong University Jinan China
Medication recommendation aims to suggest personalized drug combinations to patients based on their longitudinal medical histories stored in electronic health record (EHR) datasets. Patients’ Dynamic Treatment Regime... 详细信息
来源: 评论
Do Not Trust What They Tell: Exposing Malicious Accomplices in Tor via Anomalous Circuit Detection  34
Do Not Trust What They Tell: Exposing Malicious Accomplices ...
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34th ACM Web Conference, WWW 2025
作者: Yao, Yixuan Yang, Ming Liu, Zixia Dong, Kai Gu, Xiaodan Wang, Chunmian Southeast University Jiangsu Nanjing China Anhui University of Technology Anhui Maanshan China Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education China
The Tor network, while offering anonymity through traffic routing across volunteer-operated nodes, remains vulnerable to attacks that aim to deanonymize users by correlating traffic patterns between colluded entry and... 详细信息
来源: 评论
DCCT-Net: A network Combined Dynamic CNN and Transformer for Image Compressive Sensing
DCCT-Net: A Network Combined Dynamic CNN and Transformer for...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Lijuan Xu Haixiao Mei Fenghua Tong Dawei Zhao Fuqiang Yu Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center (National Supercomputer Center in Jinan) Qilu University of Technology (Shandong Academy of Sciences) Jinan China Shandong Provincial Key Laboratory of Industrial Network and Information System Security Shandong Fundamental Research Center for Computer Science Jinan China
Recent end-to-end image compressive sensing networks primarily use Convolutional Neural networks (CNNs) and Transformers, each with distinct limitations: CNNs struggle with global feature capture, while Transformers l... 详细信息
来源: 评论