Verfahren und System zur Auswahl eines Optimalen Maschinenlernmodells zur Regionalen Risikobeurteilung

Details

Veröffentlichungs-Nr.

EP4814825

Anmeldetag

2. März 2026

Veröffentlichung

30. September 2026

Rechtsraum

EP

IPC

G06Q10/063, G06Q10/0635

Abstract

This disclosure relates generally to a method of selecting a machine learning (ML) model for regional risk assessment of susceptible region. State-of-the-art methods provide various ML models for risk assessment that provides hazard susceptibility maps. However, the selection of an optimal ML model for the susceptible region remains a challenge. The method utilizes an analysis of a plurality of factors (qualitative and quantitative) that are influenced due to change in ecological environment of the suspectable region prior to an onset of the hazard. The method further involves generating an individual scores based on assessment of the plurality of factors, availability of labelled samples, and resolution level of images of the suspectable region. Each individual score is combined to obtain a selection score. The selection score is scanned to a pre-classified ML models to select an optimal ML model suitable for assessment of the expected hazard based on the selection score.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete