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  • 2024

    Explainable AI for colorectal cancer classification

    Mulenga, M., Seera, M., Kareem, S. A. & Sabri, A. Q. M., 2024, Explainable AI in Health Informatics. Aluvalu, R., Mehta, M. & Siarry, P. (eds.). 1st ed. Singapore Singapore: Springer, p. 203-223 21 p. (Computational Intelligence Methods and Applications).

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

  • 2022

    Commercial photovoltaic performance optimization using genetic algorithms

    Seera, M., Tan, C. J., Randhawa, K. K. & Chong, K-K., 2022, Artificial Intelligence and Environmental Sustainability: Challenges and Solutions in the Era of Industry 4.0. Ong, H. L., Doong, R., Naguib, R., Lim, C. P. & Nagar, A. K. (eds.). 1st ed. Singapore Singapore: Springer, p. 117-130 14 p. (Algorithms for Intelligent Systems).

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

  • 2018

    Motor fault detection and diagnosis based on a meta-cognitive random vector functional link network

    Za'in, C., Pratama, M., Prasad, M., Puthal, D., Lim, C. P. & Seera, M., 2018, Fault Diagnosis of Hybrid Dynamic and Complex Systems. Sayed-Mouchaweh, M. (ed.). 1st ed. Cham Switzerland: Springer, p. 15-44 30 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    5 Citations (Scopus)