Work

A Hybrid Machine Learning–NeQuick Framework for Regional and Global TECForecasting

Year: 2026

Type: conference-paper

Source: URSI General Assembly and Scientific Symposium

DOI: 10.46620/ursigass26/pmle3130

Authors: Eric Nana Asamoah, Claudio Cesaroni, Giorgiana De Franceschi, Massimo Cafaro, Italo Epicoco

Language: English

Topic: Ionosphere and magnetosphere dynamics

Subfield: Space and Planetary Science

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W7213458807

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