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    IMAGE PROCESSING FOR AUTOMATED OBJECT IDENTIFICATION
    2.
    发明申请
    IMAGE PROCESSING FOR AUTOMATED OBJECT IDENTIFICATION 审中-公开

    公开(公告)号：US20200050879A1

    公开(公告)日：2020-02-13

    申请号：US16057246

    申请日：2018-08-07

    申请人： Accenture Global Solutions Limited

    发明人： Md Faisal ZAMAN ,  Perikles RAMMOS ,  Cian O'HAGAN

    IPC分类号： G06K9/03 ,  G06N99/00 ,  G06T7/00 ,  G06T5/50 ,  G05D1/02 ,  G06T3/40

    摘要： A device obtains an image and generates, based on the image and using an image generation model, a set of candidate images for object recognition. The device determines, based on the set of candidate images and using an image evaluation model, that one or more candidate images, of the set of candidate images, are processed during image generation and using the image generation model to improve a resolution of the image. The device determines image embeddings for the one or more candidate images and based on the image, and determines an embeddings error for the one or more candidate images based on the image embeddings and the image. The device determines an identification of a feature of the image based on the image embeddings and the embeddings error, and performs an action relating to the identification of the feature based on determining the identification of the feature.

    ANTI-MONEY LAUNDERING PLATFORM FOR MINING AND ANALYZING DATA TO IDENTIFY MONEY LAUNDERERS
    4.
    发明申请
    ANTI-MONEY LAUNDERING PLATFORM FOR MINING AND ANALYZING DATA TO IDENTIFY MONEY LAUNDERERS 审中-公开

    公开(公告)号：US20180365773A1

    公开(公告)日：2018-12-20

    申请号：US15626804

    申请日：2017-06-19

    申请人： Accenture Global Solutions Limited

    发明人： Jingguang HAN ,  Md Faisal ZAMAN ,  Dadong WAN ,  Alejandro CABELLO JIMENEZ ,  Esteban COLLADO CESPON

    IPC分类号： G06Q40/00 ,  G06Q50/00 ,  G06F17/30

    摘要： A platform may obtain, for a first set of entities involved in a money laundering investigation, target entity information for a target entity and related entity information for a set of related entities. The platform may analyze the target entity information and the related entity information to identify money laundering candidates. The platform may determine one or more relationships indicating a degree of similarity between the target entity and the one or more related entities. The platform may generate a graph data structure that associates the target entity and the one or more related entities using the one or more relationships. The platform may determine a score for the target entity and one or more scores for the one or more related entities. The platform may provide a recommendation indicating whether the target entity and/or the one or more related entities are likely to be engaging in money laundering.

    AUTOMATIC PREDICTION OF AN EVENT USING DATA
    5.
    发明申请
    AUTOMATIC PREDICTION OF AN EVENT USING DATA 审中-公开

    公开(公告)号：US20180150750A1

    公开(公告)日：2018-05-31

    申请号：US15365362

    申请日：2016-11-30

    申请人： Accenture Global Solutions Limited

    发明人： Dominique VERDEJO ,  Freddy LECUE ,  Md Faisal ZAMAN

    IPC分类号： G06N5/02 ,  G06F9/54

    CPC分类号： G06N5/02 ,  G06F9/542 ,  G06K9/00771 ,  G06K9/6296 ,  G06N3/006 ,  G06N5/022 ,  G06N7/005

    摘要： A device may receive data associated with an event. The device may identify a context of the event based on receiving the data. The device may identify a similar event based on performing a comparison of the context of the event and a context of the similar event. The device may determine a set of pre-events associated with the event based on identifying a pre-event that occurred before the similar event. The set of pre-events may include at least one pre-event similar to the pre-event that occurred before the similar event. The device may determine a set of post-events associated with the event based on determining the set of pre-events and identifying a post-event that occurred after the similar event. The set of post-events may include at least one post-event similar to the post-event. The device may perform an action based on the set of post-events.

    ADVERSE INFORMATION BASED ONTOLOGY REINFORCEMENT
    6.
    发明申请
    ADVERSE INFORMATION BASED ONTOLOGY REINFORCEMENT 审中-公开

    公开(公告)号：US20190286743A1

    公开(公告)日：2019-09-19

    申请号：US15922619

    申请日：2018-03-15

    申请人： ACCENTURE GLOBAL SOLUTIONS LIMITED

    发明人： Freddy LECUE ,  Md Faisal ZAMAN

    IPC分类号： G06F17/30 ,  G16H70/40

    摘要： According to an example, with respect to adverse information based ontology reinforcement, adverse information related to a product or a process may be ascertained and analyzed to further identify and ascertain a relevant ontology of a plurality of ontologies. A determination may be made as to whether the adverse information is present in the ascertained ontology, and if not, the adverse information may be integrated into the ascertained ontology to generate an updated ontology. Similar existing information corresponding to the ascertained adverse information may be identified in the updated ontology to determine an inconsistency between the identified similar existing information and the ascertained adverse information. The determined inconsistency may be used to modify the updated ontology to generate a reinforced ontology.