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Results for Support vector machines

Publications & Outputs

  1. Towards Sustainable Energy Efficiency with Intelligent Electricity Theft Detection in Smart Grids Emphasising Enhanced Neural Networks

    Aldegheishem, A., Anwar, M., Javaid, N., Alrajeh, N., Shafiq, M. & Ahmed, H., 2/02/2021, In: IEEE Access. 26 p.

    Research output: Contribution to journalJournal articlepeer-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 journalJournal articlepeer-review

  3. Big data analytics for short and medium-term electricity load forecasting using an AI techniques ensembler

    Ayub, N., Irfan, M., Awais, M., Ali, U., Ali, T., Hamdi, M., Alghamdi, A. & Muhammad, F., 5/10/2020, In: Energies. 13, 19, 21 p.

    Research output: Contribution to journalJournal articlepeer-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 journalJournal articlepeer-review

  5. Fault diagnosis in DSL networks using support vector machines

    Marnerides, A., Malinowski, S., Morla, R. & Kim, H. S., 15/05/2015, In: Computer Communications. 62, p. 72-84 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Exploiting visual quasi-periodicity for real-time chewing event detection using active appearance models and support vector machines

    Cadavid, S., Abdel-Mottaleb, M. & Helal, S., 08/2012, In: Personal and Ubiquitous Computing. 16, 6, p. 729-739 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  7. Face recognition using support vector machines with local correlation kernels

    Kim, K. I., Jung, K. & Kim, J. H., 2002, In: International Journal of Pattern Recognition and Artificial Intelligence. 16, 1, p. 97-111 15 p.

    Research output: Contribution to journalJournal articlepeer-review