公开(公告)号：US12288186B2

公开(公告)日：2025-04-29

申请号：US17890488

申请日：2022-08-18

Applicant: Nokia Solutions and Networks Oy

Inventor： Gordon Wilfong ,  Yihao Zhang ,  Iraj Saniee ,  Maria Laura Maag

IPC: G06Q10/087 ,  G06V10/10 ,  G06V20/60

Abstract: A method for automatically creating an equipment inventory from a plurality of images of a site. The method includes receiving, by a processor, the plurality of images of the site, labeling, by the processor, equipment present in each image of the plurality of images of the site, creating, by the processor, an overlap curve for neighboring images of the plurality of images of the site, determining, by the processor, a useful image of each side of the site based on the overlap curve, the useful image including a subset of the plurality of images, creating, by the processor, an overlay of equipment in the useful image of each side of the site, counting, by the processor, equipment present in the overlay of each side of the site, and generating, by the processor, the equipment inventory by adding a number of equipment counted in the overlay of each side of the site.

公开(公告)号：US20200226188A1

公开(公告)日：2020-07-16

申请号：US16247483

申请日：2019-01-14

Applicant: Nokia Solutions and Networks Oy

Inventor： William Kennedy ,  Gordon Wilfong ,  Yihao Zhang ,  Hung Nguyen

IPC: G06F16/9535 ,  G06F17/16 ,  G06F16/335 ,  G06F16/904

Abstract: System, method, and software for recommending documents to users. A recommendation system identifies recent documents and historical information indicating consumption by users of past documents. The system generates a historical reading matrix based on the historical information, and generates a vector matrix for the recent documents and the past documents. The system generates an estimated reading matrix based on the historical reading matrix and the vector matrix, with the estimated reading matrix having first entries that represent actual reading scores for the past documents. The system calculates estimated reading scores for the recent documents based on the vector matrix, and populates second entries of the estimated reading matrix corresponding to the recent documents with the estimated reading scores. The system performs a factorization on the estimated reading matrix to generate a refined reading matrix, and generates recommendations of the recent documents based on the refined reading matrix.