Work

Predicting Thermal Power Consumption of the Mars Express Satellite with Machine Learning

Year: 2017

Type: conference-paper

Source: IEEE International Conference on Space Mission Challenges for Information Technology

DOI: 10.1109/smc-it.2017.22

Authors: Martin Breskvar, Dragi Kocev, Jurica Levatic, Aljaz Osojnik, Matej Petkovic, Nikola Simidjievski, Bernard Zenko, Redouane Boumghar, Luke Lucas

Institutions: Jožef Stefan International Postgraduate School, Technische Universität Darmstadt

Language: English

Topic: Spacecraft Design and Technology

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Javna Agencija za Raziskovalno Dejavnost RS

OpenAlex ID: W2777581776

FWCI: 3.83

Cites: 6

Cited by: 15

Related to: 10