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Original Article
Feature Mimicry for Soft Error Prediction: An Advanced Ensemble Approach to Safety-Critical Pacemaker Telemetry
Adhuong Jacob Makuach Jok1
Peter Kamita Kihato2
Davies Rene Segera3
1 Department of Electrical Engineering, Pan African University Institute for Basic Sciences, Technology and Innovation (PAUSTI), Nairobi, Kenya. 2 Department of Electrical Engineering, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya. 3 Department of Electrical and Information Engineering, University of Nairobi (UoN), Kenya, Nairobi, Kenya
Published Online: January-April 2026
Pages: 203-213
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501029
References
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vol. 1, p. 7.1, 2019.
[24] P. A. D. Amiri, "An Ensemble-Based Machine Learning Model for," IEEE, vol. 11, p. 10.1109, 2023.
[25] N. &. R. A. &. K. V. &. A. P. Sharma, "Machine Learning Implementation in Electronic Commerce for Churn Prediction of End User.,"
International Journal of Soft Computing and Engineering, vol. 10, no. 10, pp. 20-25, 2021.
[26] A. M. Mattias Liljeson, " software Defect prediction using machine learning on lest and source code defect.," semantic scholar, vol. 6,
2014.
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218, pp. 199-209, 2023.
[28] ". S. o. E. L. C. A. A. a. P. i. I. A. v. 1. p. 9.-9. 2. d. 1. I. D. Mienye and Y. Sun, "A Survey of Ensemble Learning: Concepts, Algorithms,
Applications, and Prospects," IEEE access, vol. 10, pp. 99129-99149, 2022.
[29] A.-A. Alhumam, "Effective Prediction of Software Defects using Random-tree Entropy based Feature Selection Framework," International
Journal of Advanced Computer Science and Applications, vol. 15, no. 5, 2022.
[30] K. Liu, "Research on E-commerce Precision Marketing Model Based on Big Data Technology," in International Conference on Big Data
Economy and Information Management (BDEIM) (pp. 213-216). IEEE. [1], sayna,China, 2021.
[2] Knight.J.C, "Safety critical systems: challenges and directions," in Proceedings of the 24th international conference on soft ware
engineering, 2002.
[3] L. chen, "soft error analysis and mitigation at high leve abstraction," KIT, 2015.
[4] M. Al-khresheh, "A review study of error analysis theory.," International Journal of Humanities and Social Science Research, vol. 2, no.
1, pp. 49-59, 2016.
[5] F. a. Raghuwanshi.M, "Perfromance of machine learning Techniques in the prevention of financial fraud," vol. 1, p. 9, 2021.
[6] M. Uddin, "soft Error Tolerant systems," Lambert Academic publishing, pp. 1-63, 2013.
[7] R. P. &. K. R., "An overview of soft errors in digital systems, sources and effects, mitigation techniques.," 2017.
[8] Z. J. H. Y. &. W. X. Wang. C, "soft error analysis and mitigation for safety-critical systems based on data analysis," IEEE transactions on
reliability, vol. 68, no. 1, pp. 246-258, 2019.
[9] C. Y. H. &. W. C. Lee C. H, "Ahardware-based soft error mitigation technique for safety -critical systems," IEEE Transactions on nuclear
science, vol. 63, no. 6, pp. 3346-3353, 2016.
[10] E. G. O. D. O. J. S. B. &. D. A. B. Dada, "Ensemble machine learning model for software defect prediction," Adv. Mach. Learn. Artif.
Intell, vol. 2, pp. 11-21, 2021.
[11] Z. Z. &. L. K, "A software-based soft error mitigation method for real-time operating system in safety-critical systems.," Microprocessors
and Microsystems, vol. 69, pp. 102-978, 2019.
[12] S. A. Isil O¨ z, " Prediction of soft error vulnerability of parallel application using machine learning algorithm," International Journal of
Parallel Programming, vol. 5, no. 49, pp. 410-439, 2020.
[13] I. B. .. https://doi.org/10.21203/rs.3.rs-2089478/v1., "Software default prediction using Deep Learning Techniques," research square, vol.
1, no. 10, p. 21203, 2022.
[14] R. K. Ammar Mohammed, " A comprehensive review on ensemble deep learning: Opportunities and challenges.," Journal of King Saud
University-Computer and Information Sciences, vol. 35, no. 2, pp. 757-774, 2023.
[15] M. I. D. &. S. Y, "A survey of ensemble learning: Concepts, algorithms, applications, and prospects," IEEE, vol. 10, pp. 99129-99149,
2022.
[16] A. M. M. S. M. Asim Shahid M, "Improved accuracy and less fault prediction errors via modified sequential minimal optimization
algorithm," PLoS One, vol. 4, p. 18, 2023.
[17] O. &. A. M. Alqasem, "software fault prediction using Deep Learning Algorithm," International Journal of Open Source Software and
Processes, vol. 10, no. 10, pp. 1-19, 2019.
[18] S. A. A. &. C.-H. L. &. A. Das, "Analysis of error-based machine learning algorithms in network anomaly," Researchgate, vol. 10, 2021.
[19] M. K. R. &. S. H. Asghari, "A new efficient hardware-based soft error mitigation technique for saftycritical systems," journal of electronic
testing, vol. 34, no. 3, pp. 313-324, 2018.
[20] A. J. &. F. Almeida. P, "using machine learning for soft error detection and correction in safety-critcal systems," IEEE Transaction on
nuclear science, vol. 66, no. 6, pp. 1298-1305, 2019.
[21] M. M. A. ,. M. M. S. Muhammad Asim Shahid, "Improved accuracy and less fault prediction errors via modified sequential minimal
optimization algorithm," PLoS ONE, vol. 10.1371, pp. 1-63, April 13,2023.
[22] A. R. V. K. P. A. Neha Sharma, "Machine Learning Implementation in Electronic," International Journal of Soft Computing and
Engineering (IJSCE), vol. 10, pp. 2231-2307, 2021.
[23] X. &. S. C. &. H. C. &. N. Z. &. L. Z. Gao, "An Adaptive Ensemble Machine Learning Model for Intrusion Detection," IEEE Access,
vol. 1, p. 7.1, 2019.
[24] P. A. D. Amiri, "An Ensemble-Based Machine Learning Model for," IEEE, vol. 11, p. 10.1109, 2023.
[25] N. &. R. A. &. K. V. &. A. P. Sharma, "Machine Learning Implementation in Electronic Commerce for Churn Prediction of End User.,"
International Journal of Soft Computing and Engineering, vol. 10, no. 10, pp. 20-25, 2021.
[26] A. M. Mattias Liljeson, " software Defect prediction using machine learning on lest and source code defect.," semantic scholar, vol. 6,
2014.
[27] T. J. A. B. S. &. P. K. Sharma, "Ensemble Machine Learning Paradigms in Software Defect Prediction," Procedia Computer Science, vol.
218, pp. 199-209, 2023.
[28] ". S. o. E. L. C. A. A. a. P. i. I. A. v. 1. p. 9.-9. 2. d. 1. I. D. Mienye and Y. Sun, "A Survey of Ensemble Learning: Concepts, Algorithms,
Applications, and Prospects," IEEE access, vol. 10, pp. 99129-99149, 2022.
[29] A.-A. Alhumam, "Effective Prediction of Software Defects using Random-tree Entropy based Feature Selection Framework," International
Journal of Advanced Computer Science and Applications, vol. 15, no. 5, 2022.
[30] K. Liu, "Research on E-commerce Precision Marketing Model Based on Big Data Technology," in International Conference on Big Data
Economy and Information Management (BDEIM) (pp. 213-216). IEEE. [1], sayna,China, 2021.
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