Machine learning in telemetry data mining of space mission: basics, challenging and future directions
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
BIAs can be hybridized together to solve slow convergence speed, low prediction accuracy, and trapping in local optima problems for anomaly detection of artificial satellites.
“BIAs can be also hybridized together to solve the slow convergence speed, low prediction accuracy, and trapping in local optima problems for anomaly detection of artificial satellites [14].”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [14]
According to Yairi et al., there has been little work done in artificial satellite telemetry data mining.
“According to Yairi et al. [14] there has been little work done in artificial satellite telemetry data mining, even though in the last few years the applications of SI in data mining have become increasingly implemented in different fields like bioinformatics and forensic analytics.”
From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as Yairi et al. [14]
Cites
Yairi, T., Takeishi, N., Oda, T., Nakajima, Y., Nishimura, N., & Takata, N. (2017) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2017.2671247 · Cited by 185 · see citing works
Task allocation strategies for cooperative task planning of multi-autonomous satellite constellation
Yao, F., Li, J., Chen, Y., Chu, X., & Zhao, B. (2019) · Advances in Space Research · doi:10.1016/j.asr.2018.10.002 · Cited by 52 · see citing works
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Borges, A. F. S., Laurindo, F. J. B., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102225 · Cited by 760 · see citing works
Applications and Challenges of Artificial Intelligence in Space Missions
Oche, P. A., Ewa, G. A., & Ibekwe, N. (2024) · IEEE Access · doi:10.1109/access.2021.3132500 · Cited by 68 · see citing works
“BIAs can be also hybridized together to solve the slow convergence speed, low prediction accuracy, and trapping in local optima problems for anomaly detection of artificial satellites [14].”
BackgroundInfluential
- Authors
- Hassanien, A. E., Darwish, A., & Abdelghafar, S.
- Affiliations
- Cairo University (EG)
- Helwan University (EG)
- Al-Azhar University (EG)
- Corresponding author
- Hassanien, Aboul Ella
- Venue
- Artificial Intelligence Review
- Published
- 2019-09-04
- Volume
- 53
- Issue
- 5
- Pages
- 3201-3230
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W2971518682
- Cited by
- 84
- References
- 2
- Citations by year
- 2026: 9 · 2025: 13 · 2024: 12 · 2023: 19 · 2022: 13 · 2021: 13 · 2020: 4 · 2019: 1
- FWCI
- 5.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Artificial Intelligence Review (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Space Satellite Systems and Control
- Physical Sciences › Engineering › Aerospace Engineering › Spacecraft Design and Technology
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Keywords
- satellite health monitoring, anomaly detection, error detection, failure prediction, data summarization, data visualization, artificial neural networks, fuzzy sets, rough set theory, support vector machine, naive Bayes, swarm intelligence optimization, deep learning, space debris, Petri nets, space missions
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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