Results for Support vector machines

Publications & Outputs

1. Computational modelling of segmental and prosodic levels of analysis for capturing variation across Arabic dialects

   Brown, G. & Hellmuth, S., 30/06/2022, In: Speech Communication. 141, p. 80-92 13 p.

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

2. Hybridized Fe/Ru-SiMWCNT-ionic liquid nanofluid for CO2conversion into carbamate using superoxide ion

   Halilu, A., Hayyan, M., Aroua, M. K., Yusoff, R., Hizaddin, H. F. & Basirun, W. J., 31/08/2021, In: Journal of Environmental Chemical Engineering. 9, 4, 17 p., 105285.

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

3. Spatio-temporal spectral unmixing of time-series images

   Wang, Q., Ding, X., Tong, X. & Atkinson, P. M., 15/06/2021, In: Remote Sensing of Environment. 259, 22 p., 112407.

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

4. 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., 12/02/2021, In: IEEE Access. 9, p. 25036 - 25061 26 p.

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

5. 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

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

7. 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

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

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

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