mlsanityData to 14 Oct 2026

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft

arXiv 2106.05659 ↗First posted 10 Jun 2021cs.LG cs.AIcited by 2

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Abstract (arXiv)

Future short or long-term space missions require a new generation of monitoring and diagnostic systems due to communication impasses as well as limitations in specialized crew and equipment. Machine learning supported diagnostic systems present a viable solution for medical and technical applications. We discuss challenges and applicability of such systems in light of upcoming missions and outline an example use case for a next-generation medical diagnostic system for future space operations. Additionally, we present approach recommendations and constraints for the successful generation and use of machine learning models aboard a spacecraft.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 16 of its 37 references that are in the map. First posted on arXiv 10 Jun 2021.

Builds on

16 of 37 references.

References · 16

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4 more
  1. 2019Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Goingcited by 13
  2. 2018Sidekick Policy Learning for Active Visual Explorationcited by 11
  3. 2019Straight to the point: reinforcement learning for user guidance in ultrasoundcited by 6
  4. 2020Causal Future Prediction in a Minkowski Space-Timecited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.

2 papers.

  1. 2022A Review of Causality for Learning Algorithms in Medical Image Analysiscited by 18
  2. 2026Causal Transfer in Medical Image Analysiscited by 0