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    FORDING DEPTH ESTIMATION
    2.
    发明申请
    FORDING DEPTH ESTIMATION 审中-公开

    公开(公告)号：US20200317206A1

    公开(公告)日：2020-10-08

    申请号：US16372756

    申请日：2019-04-02

    Applicant: International Business Machines Corporation

    Inventor： Cheng Xu ,  Su Liu ,  Kuo-Liang Chou ,  Shun Xian Wu ,  Yin Xi Guo

    IPC: B60W40/076 ,  G06K9/00

    Abstract: A computer-implemented method for fording depth estimation based on a real-time image recognition is provided according an embodiment of the present disclosure. In the method, a first image of a low-lying road being submerged under a bridge can be acquired. At least one second image of the low-lying road without being submerged can be determined. A fording depth of the low-lying road can be estimated based on the first image and the at least one second image.

    WORKFLOW SCHEDULING AND OPTIMIZATION TOOLS
    4.
    发明申请
    WORKFLOW SCHEDULING AND OPTIMIZATION TOOLS 审中-公开

    公开(公告)号：US20170337492A1

    公开(公告)日：2017-11-23

    申请号：US15160713

    申请日：2016-05-20

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： David S.C. Chen ,  Kuo-Liang Chou ,  June-Ray Lin ,  Pohsun Tseng ,  Der-Joung Wang

    IPC: G06Q10/06 ,  G06Q10/10

    CPC classification number: G06Q10/0633 ,  G06Q10/06316 ,  G06Q10/109

    Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

    Workflow scheduling and optimization tools
    5.
    发明授权
    Workflow scheduling and optimization tools 有权

    公开(公告)号：US11816616B2

    公开(公告)日：2023-11-14

    申请号：US15160713

    申请日：2016-05-20

    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

    Inventor： David S. C. Chen ,  Kuo-Liang Chou ,  June-Ray Lin ,  Pohsun Tseng ,  Der-Joung Wang

    IPC: G06Q10/06 ,  G06Q10/10 ,  G06Q10/0633 ,  G06Q10/0631 ,  G06Q10/109

    CPC classification number: G06Q10/0633 ,  G06Q10/06316 ,  G06Q10/109

    Abstract: Computing systems, methods and management tools for scheduling, optimizing and completing a dynamically adjustable workflow process. The computing systems, methods and management tools being capable of evaluating the availability of resources available for completing the workflow process and ascertaining the reliability of the resources in order to pre-generate a workflow process schedule. The computing systems, methods and management tools are further able to communicate with the assigned resources to incrementally negotiate and receive approval for proposed improvements to the pre-generated workflow schedule prior to implementation of the workflow schedule in order to optimize the cycle time of the process and increase probability of successfully completing the workflow process. The computing systems, methods and management tools may dynamically track the due dates for completing particular tasks and generate amended workflow process schedules in the event a failure occurs.

    AUTOMATED DATA PRE-PROCESSING FOR MACHINE LEARNING
    10.
    发明公开
    AUTOMATED DATA PRE-PROCESSING FOR MACHINE LEARNING 审中-公开

    公开(公告)号：US20240265664A1

    公开(公告)日：2024-08-08

    申请号：US18166004

    申请日：2023-02-08

    Applicant: International Business Machines Corporation

    Inventor： Yu Zui You ,  Zhan Peng Huo ,  Jun Zhu ,  Kuo-Liang Chou ,  Xuan Feng ,  JUN HAO

    IPC: G06V10/20 ,  G06V10/774

    CPC classification number: G06V10/20 ,  G06V10/774

    Abstract: Computer-implemented methods for performing automated pre-processing of data for a machine-learning based prediction system are provided. Aspects include receiving a plurality of raw data sets, receiving a plurality of processed data sets, wherein each of the plurality of processed data sets corresponds to one of the plurality of raw data sets, and generating a plurality of pre-processing templates based on the plurality of raw data sets and the processed data set. Aspects also include receiving an input data set, generating, for each of the plurality of pre-processing templates, a matching score for the input data set, and selecting one of the plurality of pre-processing templates based on the matching score. Aspects further include pre-processing the input data set using the selected pre-processing template and providing the pre-processed input data set to the machine learning based prediction system.

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