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检索条件"主题词=clustering algorithms"
51242 条 记 录,以下是4871-4880 订阅
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Dynamically Transient Social Community Detection for Mobile Social Networks
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IEEE INTERNET OF THINGS JOURNAL 2021年 第3期8卷 1282-1293页
作者: Bi, Xiaoyan Qiu, Tie Qu, Wenyu Zhao, Laiping Zhou, Xiaobo Wu, Dapeng Oliver Tianjin Univ Coll Intelligence & Comp Sch Comp Sci & Technol Tianjin Key Lab Adv Networking Tianjin 300350 Peoples R China Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA
In mobile social networks (MSNs), mobile users communicate with each other via mobile devices, such as smartphones and tablets, transmitting data through intermittent connections. Mobile users have high mobility, whic... 详细信息
来源: 评论
Reinforcement Learning-Based Energy-Efficient Data Access for Airborne Users in Civil Aircrafts-Enabled SAGIN
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
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IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING 2021年 第2期5卷 934-949页
作者: Chen, Qian Meng, Weixiao Han, Shuai Li, Cheng Chen, Hsiao-Hwa Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Peoples R China Mem Univ Newfoundland St John NF A1B 3X5 Canada Natl Cheng Kung Univ Dept Engn Sci Tainan 70101 Taiwan
Airborne users are always dreaming of enjoying a good Internet access experience while in the air. However, due to long propagation delay and limited network coverage, the existing data communication methods utilized ... 详细信息
来源: 评论
An Evaluation Model of the Stuck Risks Based on Remote Sensor Network and Fuzzy Logic
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IEEE SENSORS JOURNAL 2021年 第20期21卷 23658-23666页
作者: Liang, Haibo Chen, Haifeng Guo, Jinhong Jiang, Yingjun Southwest Petr Univ Sch Mechatron Engn Chengdu 610500 Sichuan Peoples R China Univ Elect Sci & Technol China Sch Informat & Commun Engn Chengdu 611731 Sichuan Peoples R China CNPC Chuanqing Drilling Engn Technol Res Inst Deyang 618300 Sichuan Peoples R China
Remote monitoring of drilling safety risks is an important part of oil drilling engineering. Accurate prediction of drilling risks can provide a reliable guarantee for safe drilling operations. Although the convention... 详细信息
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Using Traffic Disturbance Metrics to Estimate and Predict Freeway Traffic Breakdown and Safety Events
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TRANSPORTATION RESEARCH RECORD 2021年 第10期2675卷 723-733页
作者: Azizi, Leila Hadi, Mohammed Cent Transportat Planning Staff Boston MA 02116 USA Florida Int Univ Dept Civil & Environm Engn Miami FL 33199 USA
The introduction of connected vehicles, connected and automated vehicles, and advanced infrastructure sensors will allow the collection of microscopic metrics that can be used for better estimation and prediction of t... 详细信息
来源: 评论
Label Distribution Learning with Label Correlations on Local Samples
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 2021年 第4期33卷 1619-1631页
作者: Jia, Xiuyi Li, Zechao Zheng, Xiang Li, Weiwei Huang, Sheng-Jun Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210014 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Astronaut Nanjing 210016 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 210016 Peoples R China
Label distribution learning (LDL) is proposed for solving the label ambiguity problem in recent years, which can be seen as an extension of multi-label learning. To improve the performance of label distribution learni... 详细信息
来源: 评论
Reconstruction Method of Ocean Front Model Based on Fuzzy Cluster Analysis of Sound Speed Profile
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IEEE ACCESS 2021年 9卷 112714-112725页
作者: Liu, Yuyao Chen, Wen Chen, Wei Chen, Yu Ma, Lina Meng, Zhou Natl Univ Def Technol Coll Meteorol & Oceanog Changsha 410073 Peoples R China
Ocean fronts are mostly determined according to the horizontal temperature gradient, and various selection criteria may lead to different frontal zones. This study proposes a frontal zone delineation method based on s... 详细信息
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Optimized Energy - Efficient Path Planning Strategy in WSN With Multiple Mobile Sinks
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IEEE ACCESS 2021年 9卷 82833-82847页
作者: Al-Kaseem, Bilal R. Taha, Zahraa K. Abdulmajeed, Sarah W. Al-Raweshidy, Hamed S. Al Iraqia Univ Coll Engn Dept Elect Engn Baghdad 7366 Iraq Al Iraqia Univ Coll Engn Dept Network Engn Baghdad 7366 Iraq Al Iraqia Univ Coll Engn Dept Comp Engn Baghdad 7366 Iraq Brunel Univ London Coll Engn Design & Phys Sci Wireless Networks & Commun Ctr WNCC Dept Elect & Comp Engn London UB8 3PH England
Recently, wireless sensor networks (WSNs) were perceived as the foundation infrastructure that paved the way to the emergence of the Internet of Things (IoT). However, a challenging issue exists when WSNs are integrat... 详细信息
来源: 评论
Random Forest Model for Trip End Identification Using Cellular Phone and Points of Interest Data
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TRANSPORTATION RESEARCH RECORD 2021年 第7期2675卷 454-466页
作者: Yang, Fei Wang, Yanchen Jin, Peter J. Li, Dingbang Yao, Zhenxing Southwest Jiaotong Univ Sch Transportat & Logist Chengdu Sichuan Peoples R China Rutgers State Univ Dept Civil & Environm Engn Piscataway NJ USA Changan Univ Coll Transportat Engn Xian Peoples R China
Cellular phone data has been proven to be valuable in the analysis of residents' travel patterns. Existing studies mostly identify the trip ends through rule-based or clustering algorithms. These methods largely d... 详细信息
来源: 评论
A Permutation-Based Model for Analysis of Resource Allocation Overheads in Vehicular Ad Hoc Networks
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IEEE ACCESS 2021年 9卷 12282-12290页
作者: Zhang, Xin Shen, Zhongyi Yang, Dacheng Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100876 Peoples R China
This paper considers the theoretical limits of resource allocation overheads in vehicular ad hoc networks (VANETs), where the resource allocation procedure may consume extensive system resources. A permutation-based m... 详细信息
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Feature Selection with Data Field
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Chinese Journal of Electronics 2025年 第4期23卷 661-665页
作者: Hanning Yuan Shuliang Wang Ying Li Jinghua Fan School of Software Beijing Institute of Technology Beijing China State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing Wuhan China International School of Software Wuhan University Wuhan China
A new feature selection method is proposed for high-dimensional data clustering on the basis of data field. With the potential entropy to evaluate the importance of feature subsets, features are filtered by removing u... 详细信息
来源: 评论