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    From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering by Armelle Brun, Sylvain Castagnos, Anne Boyer

    Published 2011-01-01
    “…We adapt one state-of-the-art algorithm so as to fit the characteristics of collaborative filtering. Experiments conducted show that the precision achieved is higher then the baseline that does not perform any mentor selection. …”
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    Mechanism–Data Collaboration for Characterizing Sea Clutter Properties and Training Sample Selection by Wenhao Chen, Yong Zou, Zhengzhou Li, Shengrong Zhong, Haolin Gan, Aoran Li

    Published 2025-04-01
    “…These achievements highlight the importance of accurate sea clutter modeling and optimal training sample selection in improving target detection performance and ensuring the reliability of radar-based maritime surveillance.…”
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    Member Selection for the Collaborative New Product Innovation Teams Integrating Individual and Collaborative Attributions by Jiafu Su, Fengting Zhang, Shan Chen, Na Zhang, Huilin Wang, Jie Jian

    Published 2021-01-01
    “…As the first stage of the formation of a collaborative new product innovation (CNPI) team, member selection is crucial for the effective operation of the CNPI team and the achievement of new product innovation goals. …”
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    Resource trading strategies with risk selection in collaborative training market. by Quyuan Wang, Xinyu Ni, Yuping Tu, Ying Wang, Jiadi Liu

    Published 2025-01-01
    “…The rapid development of edge computing and artificial intelligence has brought growing interest in collaborative training. While prior research has addressed technical aspects of resource allocation, less attention has been paid to the underlying economic mechanisms of resource trading. …”
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    Adaptive Collaborative Detection for Opportunistic Vehicle Sensor Networks by Yuanyuan Zeng

    Published 2014-05-01
    “…Vehicle sensor networks (VSNs) are a novel solution for road event detection with advantages. In this paper, we consider runtime road event detection using VSNs to satisfy the application-specific requirements through collaboration among vehicles. …”
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    Selection strategy of substation distribution unit based on management collaboration theory by Wenjie Xue, Chaoyin An, Tengfei Sheng, Pingxian Dong, Yuxin Zhai, Jinfeng Zhang, Jiewen Shen

    Published 2025-02-01
    “…Finally, an equipment selection strategy is proposed based on the collaborative management theory derived from Total Productive Maintenance (TPM). …”
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    PUE Attack Detection in CWSN Using Collaboration and Learning Behavior by Javier Blesa, Elena Romero, Alba Rozas, Alvaro Araujo, Octavio Nieto-Taladriz

    Published 2013-06-01
    “…This paper discusses a new approach, based on anomaly behavior detection and collaboration, to detect the PUE attack in CWSN scenarios. …”
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    Novel Neighbor Selection Method to Improve Data Sparsity Problem in Collaborative Filtering by Hyeong-Joon Kwon, Kwang Seok Hong

    Published 2013-08-01
    “…Memory-based collaborative filtering selects the top- k neighbors with high rank similarity in order to predict a rating for an item that the target user has not yet experienced. …”
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    Cloud-edge collaborative data anomaly detection in industrial sensor networks. by Tao Yang, Xuefeng Jiang, Wei Li, Peiyu Liu, Jinming Wang, Weijie Hao, Qiang Yang

    Published 2025-01-01
    “…To solve the limitations above, this paper develops a cloud-edge collaborative data anomaly detection approach for industrial sensor networks that mainly consists of a sensor data detection model deployed at individual edges and a sensor data analysis model deployed in the cloud. …”
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    Hybrid Neutrosophic Multi-Criteria Decision Model for Guest Selection in Collaborative Tourism Platforms by Vladimir Vega Falcón, Yoarnelys Vasallo Villalonga, Lorenzo Cevallos-Torres

    Published 2025-05-01
    “…This study presents a hybrid multi-criteria decision-making (MCDM) model applied to the guest selection process in Airbnb-style vacation rentals. …”
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    Data Collaborative Detection Scheme of Electric Metering System Based on Edge Computing by Bin QIAN, Ziwen CAI, Yong XIAO, Jinfeng YANG, Xingyin DONG, Ke GU

    Published 2019-11-01
    “…In order to address many security problems caused by false data in smart grid, this paper proposes a collaborative detection model of false data injection attacks based on edge computing, which improves the network structures of traditional metering system and provides the capability of global monitoring and detection function for false data by edge servers in smart grid. …”
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