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Results for machine learning

Publications & Outputs

  1. Design and analysis method of nonlinear helical springs using a combining technique: Finite element analysis, constrained Latin hypercube sampling and genetic programming

    Gu, Z., Hou, X. & Ye, J., 28/04/2021, In: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  2. On Authorship in the Age of Generative Architectural Design: Artificial Intelligence and Architecture

    Fagan, D., 6/04/2021, (Accepted/In press) DesAIgn 2021 Conference Proceedings.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  3. Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps

    Shah, S. Y., Ahmad, J., Masood, F., Shah, S. Y., Pervaiz, H., Taylor, W., Imran, M. A. & Abbasi, Q. H., 1/02/2021, In: IEEE Sensors Journal. 21, 3, p. 3669-3679 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  4. An investigation of the visual features of urban street vitality using a convolutional neural network

    Qi, Y., Chodron Drolma, S., Zhang, X., Liang, J., Jiang, H., Xu, J. & Ni, T., 31/12/2020, In: Geo-spatial Information Science. 23, 4, p. 341-351 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  5. Delineating reef fish trophic guilds with global gut content data synthesis and phylogeny

    Parravicini, V., Casey, J. M., Schiettekatte, N. M. D., Brandl, S. J., Pozas-Schacre, C., Carlot, J., Edgar, G. J., Graham, N. A. J., Harmelin-Vivien, M., Kulbicki, M., Strona, G. & Stuart-Smith, R. D., 28/12/2020, In: Plos Biology. 18, 12 December, 20 p., e3000702.

    Research output: Contribution to journalJournal articlepeer-review

  6. Using computational techniques to study social influence online: Group Processes and Intergroup Relations

    Cork, A., Everson, R., Levine, M. & Koschate, M., 30/09/2020, In: Group Processes Intergroup Relat.. 23, 6, p. 808-826 19 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Assessing wind turbine energy losses due to blade leading edge erosion cavities with parametric CAD and 3D CFD

    Castorrini, A., Cappugi, L., Bonfiglioli, A. & Campobasso, S., 28/09/2020, In: Journal of Physics: Conference Series. 1618, 11 p., 052015.

    Research output: Contribution to journalJournal articlepeer-review

  8. Role of artificial intelligence and vibrational spectroscopy in cancer diagnostics

    Rehman, I. U., Khan, R. S. & Rehman, S., 1/08/2020, In: Expert Review of Molecular Diagnostics. 20, 8, p. 749-755 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Entrenchment inhibition: Constructional change and repetitive behaviour can be in competition with large-scale “recompositional” creativity

    Tantucci, V. & Di Cristofaro, M., 30/06/2020, In: Corpus Linguistics and Linguistic Theory. 16, 3, p. 547-579 23 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. Rapid Estimate of Wind Turbine Energy Loss due to Blade Leading Edge Delamination Using Artificial Neural Networks

    Campobasso, S., Cavazzini, A. & Minisci, E., 26/06/2020, In: Journal of Turbomachinery. 142, 7, 11 p., 071002.

    Research output: Contribution to journalJournal articlepeer-review

  11. Reinforcement learning in blockchain-enabled IIoT networks: A survey of recent advances and open challenges

    Jameel, F., Javaid, U., Khan, W. U., Aman, M. N., Pervaiz, H. & Jäntti, R., 24/06/2020, In: Sustainability. 12, 12, 22 p., 5161.

    Research output: Contribution to journalJournal articlepeer-review

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