Neural-network-based receivers
    4.
    发明授权

    公开(公告)号:US12267189B2

    公开(公告)日:2025-04-01

    申请号:US18021631

    申请日:2020-08-20

    Abstract: In some examples, a node for a telecommunication network includes a neural-network-based receiver for uplink communications. The node is configured to modify the neural-network-based receiver to generate a set of modified receiver frameworks defining respective different versions for the receiver, using each of the modified receiver frameworks, generate respective measures representing bits encoded by a signal received at the node, calculate a value representing a variance of the measures, and on the basis of the value, determine whether to select the signal received at the node for use as part of a training set of data for the neural-network-based receiver.

    Task history user interface using a clustering algorithm
    7.
    发明授权
    Task history user interface using a clustering algorithm 有权
    任务历史用户界面使用聚类算法

    公开(公告)号:US09230010B2

    公开(公告)日:2016-01-05

    申请号:US14516538

    申请日:2014-10-16

    CPC classification number: G06F17/30598 G06F3/0482 G06F17/30156 G06N99/005

    Abstract: The aspects of the disclosed embodiments include clustering a set of discrete user interface states into groups; presenting the groups on a display of a device; and enabling selection of any state within a presented group, wherein selection of a state returns the user interface to the selected state.

    Abstract translation: 所公开的实施例的方面包括将一组离散用户界面状态聚类成组; 在设备的显示器上呈现组; 并且使得能够选择所呈现的组内的任何状态,其中状态的选择将用户界面返回到所选择的状态。

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