Science autonomy for ocean worlds astrobiology: A perspective

BP Theiling, L Chou, V Da Poian, M Battler… - 2022 - liebertpub.com
Astrobiology missions to ocean worlds in our solar system must overcome both scientific and
technological challenges due to extreme temperature and radiation conditions, long …

Towards a digital twin of the Earth system: Geo-Soft-CoRe, a geoscientific software & code repository

I DeFelipe, J Alcalde, E Baykiev, I Bernal… - Frontiers in Earth …, 2022 - frontiersin.org
The immense advances in computer power achieved in the last decades have had a
significant impact in Earth science, providing valuable research outputs that allow the …

Magnetic field draping in induced magnetospheres: Evidence from the MAVEN mission to Mars

AR Azari, E Abrahams, F Sapienza… - Journal of …, 2023 - Wiley Online Library
Abstract The Mars Atmosphere and Volatile EvolutioN (MAVEN) mission has been orbiting
Mars since 2014 and now has over 10,000 orbits which we use to characterize Mars' …

Semi-supervised learning for Mars imagery classification and segmentation

W Wang, L Lin, Z Fan, J Liu - ACM Transactions on Multimedia …, 2023 - dl.acm.org
With the progress of Mars exploration, numerous Mars image data are being collected and
need to be analyzed. However, due to the severe train-test gap and quality distortion of …

Unsupervised machine learning for exploratory data analysis of exoplanet transmission spectra

KT Matchev, K Matcheva, A Roman - The Planetary Science …, 2022 - iopscience.iop.org
Transit spectroscopy is a powerful tool for decoding the chemical compositions of the
atmospheres of extrasolar planets. In this paper, we focus on unsupervised techniques for …

Mrscatt: A spatio-channel attention-guided network for mars rover image classification

AS Chakravarthy, R Roy… - Proceedings of the …, 2021 - openaccess.thecvf.com
As the exploration of human beings pushes deeper into the galaxy, the classification of
images from space and other planets is becoming an increasingly critical task. Image …

Searching for Novel Chemistry in Exoplanetary Atmospheres Using Machine Learning for Anomaly Detection

RT Forestano, KT Matchev, K Matcheva… - The Astrophysical …, 2023 - iopscience.iop.org
The next generation of telescopes will yield a substantial increase in the availability of high-
quality spectroscopic data for thousands of exoplanets. The sheer volume of data and …

A study of light intensity of stars for exoplanet detection using machine learning

V Bahel, M Gaikwad - 2022 IEEE Region 10 Symposium …, 2022 - ieeexplore.ieee.org
Exoplanets is defined as the planets outside the solar system. With a hope to find a
habitable, earth-like planet, the detection of exoplanet is very crucial domain of research …

Semi-supervised learning for mars imagery classification

W Wang, L Lin, Z Fan, J Liu - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
With the progress of Mars exploration, numerous Mars image data are collected and need to
be analyzed. However, because of the imbalance and distortion in Mars data, the …

A virtual solar wind monitor at Mars with uncertainty quantification using Gaussian processes

AR Azari, E Abrahams, F Sapienza… - Journal of …, 2024 - Wiley Online Library
Single spacecraft missions do not measure the pristine solar wind continuously because of
the spacecrafts' orbital trajectory. The infrequent spatiotemporal cadence of measurement …