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    Solving the fully fuzzy multi-choice linear programming model by Zahra Arami, Maryam Arabameri, Hassan Mishmast Nehi

    Published 2024-08-01
    Subjects: “…fuzzy multi-choice programming…”
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    Article
  4. 384

    Multi-scale hydraulic graph neural networks for flood modelling by R. Bentivoglio, E. Isufi, S. N. Jonkman, R. Taormina

    Published 2025-01-01
    “…To address these issues, we propose a multi-scale hydraulic-based graph neural network (mSWE-GNN) that models the flood at different resolutions and propagation speeds. …”
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  5. 385

    Multi-point joint power analysis attack against AES by Zhi-bo DU, UNYuan-hua S, ANGYi W

    Published 2016-10-01
    Subjects: “…multi-point joint power analysis attack…”
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    Article
  6. 386

    Computing network:a new multi-access edge computing by Bo LEI, Zengyi LIU, Xuliang WANG, Mingchuan ·ANG, ·unqing CHEN

    Published 2019-09-01
    “…Edge computing has become an important innovative business model in the 5G era,especially its low latency characteristics,which are considered to be unavailable in traditional solutions.Therefore,edge computing can provide more service capabilities and more application scenarios.However,the synergy of computing resources between edge computing and cloud computing has become a new technical problem,so it is necessary to realize cloud network collaboration,cloud edge collaboration and even edge collaboration between edge computing,cloud computing and network,so as to achieve the optimization of resource utilization.A computing network solution based on cloud,network and edge depth fusion was introduced,and a typical system for AI application was proposed,which could effectively cope with the future.…”
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  7. 387

    Employee commitment in Ghanaian healthcare: a multi-factor analysis by Emmanuel Erastus Yamoah

    Published 2025-02-01
    “…Business, Management and Economics Engineering…”
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    Multi-party summation query method based on differential privacy by Xianmang HE

    Published 2020-06-01
    Subjects: “…multi-party summation…”
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  12. 392

    Multi-view graph neural network for fraud detection algorithm by Zhuo CHEN, Miao ZHU, Junwei DU

    Published 2022-11-01
    “…Aiming at the problem that in the field of fraud detection, imbalance labels and lack of necessary connections between fraud nodes, resulting in fraud detection tasks not conforming to the hypothesis of homogeneity of graph neural networks, multi-view graph neural network for fraud detection (MGFD) algorithm was proposed.First, A structure-independent encoder was used to encode the attributes of nodes in the network to learn the difference between the fraud node and the normal node.The hierarchical attention mechanism was designed to integrate the multi-view information in the network, and made full use of the interaction information between different perspectives in the network to model the nodes on the basis of learning differences.Then, based on the data imbalance ratio sampled subgraph, the sample was constructed according to the connection characteristics of fraud nodes for classification, which solved the problem of imbalance sample labels.Finally, the prediction label was used to identify whether a node is fraudulent.Experiments on real-world datasets have shown that the MGFD algorithm outperforms the comparison method in the field of graph-based fraud detection.…”
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  13. 393

    Multi-tier cooperative caching in fog radio access network by Yanxiang JIANG, Chengyu XIA

    Published 2019-09-01
    “…Aiming at the problem of reducing the load of the backward link in the edge buffer and fog wireless access network technology,a multi-tier cooperative caching scheme in F-RAN was proposed to further reduce the backhaul traffic load.In particular,by considering the network topology,content popularity prediction and link capacity,the optimization problem was decomposed into knapsack subproblems in multi-tiers,and effective greedy algorithms were proposed to solve the corresponding subproblems.Simulation results show that the proposed multi-tier cooperative caching scheme can effectively reduce the backhaul traffic and achieve relatively high cache hit rate.…”
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    Spatial integration of multi-omics single-cell data with SIMO by Penghui Yang, Kaiyu Jin, Yue Yao, Lijun Jin, Xin Shao, Chengyu Li, Xiaoyan Lu, Xiaohui Fan

    Published 2025-02-01
    “…To address this, we develop SIMO, a computational method designed for the Spatial Integration of Multi-Omics datasets through probabilistic alignment. …”
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  16. 396

    Transformer enabled multi-modal medical diagnosis for tuberculosis classification by Sachin Kumar, Shivani Sharma, Kassahun Tadesse Megra

    Published 2025-01-01
    “…The proposed approach was tested for a multi-modal lung disease tuberculosis data set. Further, the results are compared with recent approaches proposed in the field of multimodal medical data analysis. …”
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  17. 397

    multiPDEVS: A Parallel Multicomponent System Specification Formalism by Damien Foures, Romain Franceschini, Paul-Antoine Bisgambiglia, Bernard P. Zeigler

    Published 2018-01-01
    “…Based on multiDEVS formalism, we introduce multiPDEVS, a parallel and nonmodular formalism for discrete event system specification. …”
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