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Publications & Outputs

  1. 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 article

  2. 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 article

  3. 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 article

  4. 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 article

  5. Transferable Knowledge for Low-cost Decision Making in Cloud Environments

    Samreen, F., Blair, G. & Elkhatib, Y., 20/05/2020, In : IEEE Transactions on Cloud Computing.

    Research output: Contribution to journalJournal article

  6. Application of local binary patterns and cascade AdaBoost classifier for mice behavioural patterns detection and analysis

    Agbele, T., Ojeme, B. & Jiang, R., 31/12/2019, In : Procedia Computer Science. 159, p. 1375-1386 12 p.

    Research output: Contribution to journalConference article

  7. Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries

    Liu, K., Hu, X., Wei, Z., Li, Y. & Jiang, Y., 1/12/2019, In : IEEE Transactions on Transportation Electrification. 5, 4, p. 1225-1236 12 p.

    Research output: Contribution to journalJournal article

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

    Tantucci, V. & Di Cristofaro, M., 7/06/2019, In : Corpus Linguistics and Linguistic Theory.

    Research output: Contribution to journalJournal article

  9. Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Usama, M., Qadir, J., Raza, A., Arif, H., Yau, K. A., Elkhatib, Y., Hussain, A. & Al-Fuqaha, A., 14/05/2019, In : IEEE Access. 7, p. 65579 - 65615 38 p.

    Research output: Contribution to journalJournal article

  10. In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse

    El Haj, M., Rayson, P. E., Walker, M., Young, S. E. & Simaki, V., 30/04/2019, In : Journal of Business Finance and Accounting. 46, 3-4, p. 265-306 42 p.

    Research output: Contribution to journalJournal article

  11. Illocutional concurrences: The case of evaluative speech acts and face-work in spoken Mandarin and American English

    Tantucci, V. & Wang, A., 12/2018, In : Journal of Pragmatics. 138, p. 60–76 17 p.

    Research output: Contribution to journalJournal article

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