Showing 4,561 - 4,580 results of 7,394 for search 'parameter machine', query time: 0.18s Refine Results
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    CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials by Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

    Published 2025-01-01
    “…We present CrysMTM, a large-scale, multimodal dataset designed to benchmark temperature- and phase-sensitive machine learning models for crystalline materials. …”
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    Robust prediction of chaotic systems with random errors using dynamical system deep learning by Zixiang Wu, Jianping Li, Hao Li, Mingyu Wang, Ning Wang, Guangcan Liu

    Published 2025-01-01
    “…The results show that the DSDL exhibits high accuracy and stability compared to various traditional machine learning methods and previous dynamic methods. …”
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    A Proof of Concept for Improving Estimates of Ungauged Basin Streamflow via an LSTM‐Based Synthetic Network Simulation Approach by A. A. Ramírez Molina, J. M. Frame, J. Halgren, J. Gong

    Published 2025-06-01
    “…These models often rely on uncertain parameter transfers from gauged to ungauged regions, hindering accurate predictions. …”
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    Hierarchically Federated Learning in Wireless Networks: D2D Consensus and Inter-Cell Aggregation by Jie Zhang, Li Chen, Yunfei Chen, Xiaohui Chen, Guo Wei

    Published 2024-01-01
    “…Decentralized federated learning (DFL) architecture enables clients to collaboratively train a shared machine learning model without a central parameter server. …”
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    Toward Understanding Federated Learning over Unreliable Networks by Chenyuan Feng, Ahmed Arafa, Zihan Chen, Mingxiong Zhao, Tony Q. S. Quek, Howard H. Yang

    Published 2025-01-01
    “…Due to unreliable wireless channels and constrained communication resources, the server can only choose a handful of clients for parameter updates during each communication round. …”
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