公开(公告)号：US20240161930A1

公开(公告)日：2024-05-16

申请号：US18231110

申请日：2023-08-07

Applicant: VUNO Inc.

Inventor： Yunseob SHIN ,  Yunwon TAE ,  Kyungjae CHO ,  Jaewoo CHOI

IPC: G16H50/30 ,  G16H50/50 ,  G16H50/70

CPC classification number: G16H50/30 ,  G16H50/50 ,  G16H50/70

Abstract: Disclosed is a method for generating a prediction result by using static data and dynamic data according to an exemplary embodiment of the present disclosure. Specifically, according to the present disclosure, a computing device generates an integrated feature vector from static data and dynamic data of input data by using an artificial neural network model. The computing device generates a dynamic feature vector from the dynamic data of the input data by using the artificial neural network model. The computing device generates a final prediction result of the artificial neural network model based on the integrated feature vector and the dynamic feature vector.