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检索条件"机构=Key Laboratory of Data Analysis and Application"
310 条 记 录,以下是251-260 订阅
排序:
Study on Information Diffusion analysis in Social Networks and Its applications
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International Journal of Automation and computing 2018年 第4期15卷 377-401页
作者: Biao Chang Tong Xu Qi Liu En-Hong Chen Anhui Province Key Laboratory of Big Data Analysis and Application School of Computer ScienceUniversity of Science and Technology of China
Due to the prevalence of social network services, more and more attentions are paid to explore how information diffuses and users affect each other in these networks, which has a wide range of applications, such as vi... 详细信息
来源: 评论
Designing preamplifier for sensing atmospheric electrostatic field strength via supercapacitive sensor
Designing preamplifier for sensing atmospheric electrostatic...
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2020 International Symposium on Electronic Information Technology and Communication Engineering, ISEITCE 2020
作者: Wu, Changhao Xiong, Yi Zeng, Wei National Engineering Research Center for Agro-Ecological Big Data Analysis and Application School of Electronics and Information Engineering Anhui University Hefei230601 China Science and Technology Institute Hubei Key Laboratory of Biomass Fibers and Eco-Dyeing and Finishing Wuhan Textile University Wuhan430073 China School of Physics and Technology Moe Key Laboratory of Artificial Micro- and Nano-Structures Center for Electron Microscopy Wuhan University Wuhan430072 China
In order to effectively obtain the signal from sensor, the analogy signal needs to be amplified and then converted into a digital signal for matching to the sensor characteristics. With a supercapacitive electric fiel... 详细信息
来源: 评论
Remote sensing monitoring of areca yellow leaf disease based on UAV multi-spectral images
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Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering 2020年 第8期36卷 54-61页
作者: Zhao, Jinling Jin, Yu Ye, Huichun Huang, Wenjiang Dong, Yingying Fan, Lingling Ma, Huiqin Jiang, Jing National Engineering Research Center for Agro-Ecological Big Data Analysis & Application Anhui University Hefei230601 China Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Hainan Key Laboratory of Earth Observation Sanya572029 China
Yellow leaf disease is a serious disease that endangers the growth of areca, it is urgent to monitor the infection severity and spatial distribution in time and accurately. However, the traditional monitoring methods ... 详细信息
来源: 评论
Spatial fuzzy C-means clustering and deep belief network for change detection in synthetic aperture radar images  5
Spatial fuzzy C-means clustering and deep belief network for...
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IET International Radar Conference 2020, IET IRC 2020
作者: Qi, Wenwen Wu, Lin Guo, Zhengwei Huang, Dan College of Computer and Information Engineering Henan University Kaifeng475004 China Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475004 China Henan Engineering Research Center of Intelligent Technology and Application Henan University Kaifeng475004 China College of Environment and Planning Henan University Kaifeng475004 China Department of Laboratory and Equipment Management Henan University Kaifeng475004 China
In this study, spatial fuzzy c-means (SFCM) clustering and deep belief network (DBN) method is presented for change detection in SAR images. There are three primary steps of this approach, they are given as follows: 1... 详细信息
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Simplifying graph contrastive learning with single feature fusion and column vector orthogonal noise
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Expert Systems with applications 2025年 288卷
作者: Lan You Zhen Zhang Qingxi Peng Christophe Claramunt Xing Zeng Hong Jin School of Computer Science and Information Engineering Hubei University Wuhan430062 Key Laboratory of Intelligent Sensing System and Security (Hubei University) Ministry of Education Wuhan 430062 Hubei Key Laboratory of Big Data Intelligent Analysis and Application (Hubei University) Wuhan 430062 School of Information Engineering Wuhan College Wuhan 430212 China Computer Science Naval Academy Research Institute Lanveoc-Poulmic BP 600 Brest 29240 France Okinawa Institute of Science and Technology Japan
Graph Contrastive Learning (GCL) has shown promise in recommendation systems by improving representation quality through data augmentation and consistency objectives. However, conventional GCL frameworks rely on multi...
来源: 评论
Learning the Compositional Visual Coherence for Complementary Recommendations
arXiv
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arXiv 2020年
作者: Li, Zhi Wu, Bo Liu, Qi Wu, Likang Zhao, Hongke Mei, Tao Anhui Province Key Laboratory of Big Data Analysis and Application School of Data Science University of Science and Technology of China Columbia University School of Computer Science and Technology University of Science and Technology of China College of Management and Economics Tianjin University JD AI Research
Complementary recommendations, which aim at providing users product suggestions that are supplementary and compatible with their obtained items, have become a hot topic in both academia and industry in recent years. E... 详细信息
来源: 评论
Long-term joint scheduling for urban traffic
arXiv
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arXiv 2019年
作者: Liang, Xianfeng Wu, Likang Chen, Joya Liu, Yang Yu, Runlong Hou, Min Wu, Han Ye, Yuyang Liu, Qi Chen, Enhong Anhui Province Key Laboratory of Big Data Analysis and Application University of Science and Technology of China
Recently, the traffic congestion in modern cities has become a growing worry for the residents. As presented in Baidu traffic report [1], the commuting stress index 1, has reached surprising 1.973 in Beijing during ru... 详细信息
来源: 评论
data-Efficient Federated Semi-Supervised Learning Framework Via Pseudo Supervision Refinement Strategy for Lung Tumor Segmentation
SSRN
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SSRN 2024年
作者: Shi, Zhenwei Li, Weixing Pan, Xipeng Zhang, Zhen Wu, Guangyao Ye, Guanchao Wee, Leonard Dekker, Andre Han, Chu Shi, Lei Liu, Zaiyi Liu, Zhenbing School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Department of Radiology Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences Southern Medical University Guangzhou510080 China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangzhou510080 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Department of Radiology Huazhong University of Science and Technology Tongji Medical College Union Hospital Hubei Wuhan430021 China Clinical Data Science Faculty of Health Medicine Life Sciences Maastricht University Maastricht6229 ET Netherlands GROW School of Oncology and Reproduction Maastricht University Medical Centre+ Maastricht6229 ET Netherlands Guangdong Provincial People's Hospital China
Background and Objective: Accurate lung tumor segmentation is crucial for early clinical diagnosis and subsequent treatment planning for patients. Conducting centralized training to enhance model performance is imprac... 详细信息
来源: 评论
data-Efficient Federated Semi-Supervised Learning Framework Via Pseudo Supervision Refinement Strategy for Lung Tumor Segmentation
SSRN
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SSRN 2024年
作者: Shi, Zhenwei Li, Weixing Pan, Xipeng Zhang, Zhen Wu, Guangyao Ye, Guanchao Wee, Leonard Andre, Dekker Han, Chu Shi, Lei Liu, Zaiyi Liu, Zhenbing School of Computer and Information Security Guilin University of Electronic Technology Guilin541004 China Department of Radiology Guangdong Provincial People’s Hospital Guangdong Academy of Medical Sciences Southern Medical University Guangzhou510080 China Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application Guangzhou510080 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Chinese Academy of Sciences Zhejiang Hangzhou310022 China Department of Radiology Huazhong University of Science and Technology Tongji Medical College Union Hospital Hubei Wuhan430021 China Clinical Data Science Faculty of Health Medicine Life Sciences Maastricht University Maastricht6229 ET Netherlands GROW School of Oncology and Reproduction Maastricht University Medical Centre+ Maastricht6229 ET Netherlands Guangdong Provincial People's Hospital China
Accurate lung tumor segmentation is crucial for early clinical diagnosis and subsequent treatment planning for patients. Centralized model training faces privacy constraints, although federated learning offers a promi... 详细信息
来源: 评论
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source data
Constructing Educational Concept Maps with Multiple Relation...
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IEEE International Conference on data Mining (ICDM)
作者: Xiaoqing Huang Qi Liu Chao Wang Haoyu Han Jianhui Ma Enhong Chen Yu Su Shijin Wang Anhui Province Key Laboratory of Big Data Analysis and Application University of Science and Technology of China iFLYTEK Research
Concept map is an useful tool to help people organize and improve knowledge. Particularly in educational domain, it is beneficial for students and teachers to improve the learning and teaching quality. Traditionally, ...
来源: 评论