Results for Learning systems

Publications & Outputs

1. Real-time facial expression recognition based on iterative transfer learning and efficient attention network

   Kong, Y., Zhang, S., Zhang, K., Ni, Q. & Han, J., 31/05/2022, In: IET Image Processing. 16, 6, p. 1694-1708 15 p.

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

2. SSA-SiamNet: Spectral-Spatial-Wise Attention-Based Siamese Network for Hyperspectral Image Change Detection

   Wang, L., Wang, L., Wang, Q. & Atkinson, P. M., 31/01/2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 18 p., 5510018.

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

3. Applications of machine learning in spectroscopy

   Meza Ramirez, C. A., Greenop, M., Ashton, L. & Rehman, I. U., 30/09/2021, In: APPLIED SPECTROSCOPY REVIEWS. 56, 8-10, p. 733-763 31 p.

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

4. Muti-view Mouse Social Behaviour Recognition with Deep Graphic Model

   Jiang, Z., Zhou, F., Zhao, A., Li, X., Li, L., Tao, D. & Zhou, H., 28/05/2021, In: IEEE Transactions on Image Processing. 30, 15 p., 5490-5504.

   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. Concept Drift Detection Using Autoencoders in Data Streams Processing

   Jaworski, M., Rutkowski, L. & Angelov, P., 7/10/2020, Artificial Intelligence and Soft Computing: 19th International Conference, ICAISC 2020, Zakopane, Poland, October 12-14, 2020, Proceedings, Part I. Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R. & Zurada, J. M. (eds.). Cham: Springer, p. 124-133 10 p. (Lecture Notes in Computer Science; vol. 12415 ).

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

7. 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

8. Multi-scale deep intra-class transfer learning for bearing fault diagnosis

   Wang, X., Shen, C., Xia, M., Wang, D., Zhu, J. & Zhu, Z., 1/10/2020, In: Reliability Engineering and System Safety. 202, 15 p., 107050.

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

9. 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

10. 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

11. A Reinforcement Learning QoS negotiation Model for IoT middleware: 5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020

    Udoh, I. S., Kotonya, G., G., W. (ed.), P., K. (ed.), V., C. (ed.) & Institute for Systems and Technologies of Information, C. A. C., 9/05/2020, p. 205-212. 8 p.

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

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