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Research

Results for Deep neural networks

Publications & Outputs

  1. Filter pruning with uniqueness mechanism in the frequency domain for efficient neural networks

    Zhang, S., Gao, M., Ni, Q. & Han, J., 14/04/2023, In: Neurocomputing. 530, p. 116-124 9 p.

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

  2. An adaptive DNN inference acceleration framework with end–edge–cloud collaborative computing

    Liu, G., Dai, F., Xu, X., Fu, X., Dou, W., Kumar, N. & Bilal, M., 31/03/2023, In: Future Generation Computer Systems. 140, p. 422-435 14 p.

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

  3. A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability

    Huang, X., Kroening, D., Ruan, W., Sharp, J., Sun, Y., Thamo, E., Wu, M. & Yi, X., 1/08/2020, In: Computer Science Review. 37, 35 p., 100270.

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

  4. Data-driven prognosis method using hybrid deep recurrent neural network

    Xia, M., Zheng, X., Imran, M. & Shoaib, M., 1/08/2020, In: Applied Soft Computing Journal. 93, 8 p., 106351.

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

  5. 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

  6. Deep learning based pedestrian detection at distance in smart cities

    Dinakaran, R. K., Easom, P., Bouridane, A., Zhang, L., Jiang, R., Mehboob, F. & Rauf, A., 1/01/2020, Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. Bi, Y., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag, p. 588-593 6 p. (Advances in Intelligent Systems and Computing; vol. 1038).

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

  7. Single Satellite Imagery Simultaneous Super-resolution and Colorization using Multi-task Deep Neural Networks

    Liu, H., Fu, Z., Han, J., Shao, L. & Liu, H., 05/2018, In: Journal of Visual Communication and Image Representation. 53, p. 20-30 11 p.

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