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公开(公告)号:GB2602929A
公开(公告)日:2022-07-20
申请号:GB202205196
申请日:2020-09-24
Applicant: IBM
Inventor: CONRAD ALBRECHT , HENDRIK HAMANN , LEVENTE KLEIN , SIYUAN LU , PANKANTI SHARATHCHANDRA , WANG ZHOU
Abstract: Methods and systems for managing vegetation include training a machine learning model based on an image of a training data region before a weather event, an image of the training data region after the weather event, and information regarding the weather event. A risk score is generated for a second region using the trained machine learning model based on an image of the second region and predicted weather information for the second region. The risk score is determined to indicate high-risk vegetation in the second region. A corrective action is performed to reduce the risk of vegetation in the second region.
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公开(公告)号:GB2579331A
公开(公告)日:2020-06-17
申请号:GB202003659
申请日:2018-08-15
Applicant: IBM
Inventor: CONRAD ALBRECHT , MARCUS OLIVER FREITAG , HENDRIK HAMANN
IPC: G06F16/00
Abstract: A database system includes a processing sub-system having an electronic hardware controller that receives first formatted data, and an electronic file formatting sub-system having an electronic hardware controller that assigns coordinate values corresponding to a second data format to the first formatted data. The file formatting sub-system generates a dual-format data file that fuses together the first formatted data with the coordinate values corresponding to a second data format. The database system further includes a storage sub-system having a data storage unit configured to store the dual-format data file.
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