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Faculty of Engineering, Computing & Science

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Dive into the research topics where Faculty of Engineering, Computing & Science is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Collaborations and top research areas from the last five years

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  • A Modular and reproducible Z-number fuzzy AHP–TOPSIS framework in R

    Intepe, G., Sari, I. U. & Lau, C. W., 2027, Machine Learning and Knowledge Engineering for Decision Making: The 17th International FLINS Conference on Fuzzy Logic for Intelligent Systems and The 21st International Conference on Intelligent Systems and Knowledge Engineering, FLINS-ISKE 2026, Sydney, NSW, Australia, July 15-19, 2026, Proceedings, Part I. Lu, J., Zhang, Y., Xuan, J., Montero, J., Li, T., Martínez, L. & Kerre, E. (eds.). Singapore: Springer, p. 397-415 19 p. (Lecture Notes in Computer Science; vol. 16752 LNCS).

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

  • Artificial intelligence and machine learning tools for building lifecycle carbon reduction

    Perera, P., Perera, S. & Nanayakkara, S., 2027, Smart and Innovative Solutions for a Net-Zero Built Environment. Senaratne, S., Domingo, N. & Perera, S. (eds.). U.K.: Routledge, p. 149-174 26 p.

    Research output: Chapter in Book / Conference PaperChapterpeer-review

  • Smart and Innovative Solutions for a Net-Zero Built Environment

    Senaratne, S., Domingo, N. & Perera, S., 2027, U.K.: Routledge. 206 p.

    Research output: Book/Research ReportEdited Bookpeer-review