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Results for Learning algorithms

Publications & Outputs

  1. Quantum-driven energy-efficiency optimization for next-generation communications systems

    Chien, S. F., Lim, H. S., Kourtis, M. A., Ni, Q., Zappone, A. & Zarakovitis, C. C., 6/07/2021, In: Energies. 14, 14, 15 p., 4090.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. 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 Journal/Magazine › Journal article › peer-review

  3. AI-enabled Microscopic Blood Analysis for Microfluidic COVID-19 Hematology

    Xia, T., Fu, Y. Q., Jin, N., Chazot, P., Angelov, P. & Jiang, R., 21/06/2020, p. 98-102. 5 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  4. Towards short term electricity load forecasting using improved support vector machine and extreme learning machine

    Ahmad, W., Ayub, N., Ali, T., Irfan, M., Awais, M., Shiraz, M. & Glowacz, A., 5/06/2020, In: Energies. 13, 11, 17 p., 2907.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Uncertainty quantification in classification problems: A Bayesian approach for predicating the effects of further test sampling. 23rd International Congress on Modelling and Simulation - Supporting Evidence-Based Decision Making: The Role of Modelling and Simulation, MODSIM 2019

    Phillipson, J., Blair, G. S., Henrys, P., S., E. (ed.) & Office, CSIRO. CUBIC. EW. NSW. G., 6/12/2019, p. 193-199. 7 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  6. An integrated precision farming application based on 5G, UAV and deep learning technologies

    Razaak, M., Kerdegari, H., Davies, E., Abozariba, R., Broadbent, M., Argyriou, V. & Remagnino, P., 1/09/2019, Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. Vento, M., Percannella, G., Colantonio, S., Giorgi, D., Matuszewski, B. J., Kerdegari, H. & Razaak, M. (eds.). Cham: Springer-Verlag, p. 109-119 11 p. (Communications in Computer and Information Science; vol. 1089).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain

    Caraffini, F., Neri, F. & Epitropakis, M., 1/03/2019, In: Information Sciences. 477, p. 186-202 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Zero-shot multi-label learning via label factorisation

    Shao, H., Guo, Y., Ding, G. & Han, J., 1/03/2019, In: IET Computer Vision. 13, 2, p. 117-124 8 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Specification and synthesis of sensory datasets in pervasive spaces

    Helal, S., Andres, M-V. & Hossain, S., 2009, IEEE Symposium on Computers and Communications 2009, ISCC 2009. IEEE, p. 920-925 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review