ASSET-LEVEL VULNERABILITY AND MITIGATION

    公开(公告)号:US20250117913A1

    公开(公告)日:2025-04-10

    申请号:US18985943

    申请日:2024-12-18

    Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.

    GENERATING HIGH RESOLUTION FIRE DISTRIBUTION MAPS USING GENERATIVE ADVERSARIAL NETWORKS

    公开(公告)号:US20220366533A1

    公开(公告)日:2022-11-17

    申请号:US17322562

    申请日:2021-05-17

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating high-resolution fire distribution maps. In some implementations, a computer-implemented system obtains a low-resolution distribution map indicating fire distribution of an area with fire burning and a reference map indicating features of the same area. The system processes the low-resolution distribution map and the reference map using a generator neural network to generate output data including a high-resolution synthesized distribution map indicating fire distribution of the area. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network that outputs a prediction of whether an input to the discriminator neural network is a real distribution map or a synthesized distribution map.

    Asset-level vulnerability and mitigation

    公开(公告)号:US12205263B2

    公开(公告)日:2025-01-21

    申请号:US18535597

    申请日:2023-12-11

    Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.

    ASSET-LEVEL VULNERABILITY AND MITIGATION

    公开(公告)号:US20220237764A1

    公开(公告)日:2022-07-28

    申请号:US17158585

    申请日:2021-01-26

    Abstract: Methods, systems, and apparatus for receiving a request for a damage propensity score for a parcel, receiving imaging data for the parcel, wherein the imaging data comprises street-view imaging data of the parcel, extracting, by a machine-learned model including multiple classifiers, characteristics of vulnerability features for the parcel from the imaging data, determining, by the machine-learned model and from the characteristics of the vulnerability features, a damage propensity score for the parcel, and providing a representation of the damage propensity score for display.

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