Results for Deep learning

Publications & Outputs

1. An automatic approach for the classification of lumpy skin disease in cattle

   Alam, F., Ullah, A., Rohaim, M. A., Munir, M. & Hussain, A., 30/06/2025, In: Tropical animal health and production. 57, 5, 230.

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

2. Machine learning of automatic hierarchical multi-label classification method for identifying metal failure mechanisms

   Han, R., Liu, C.-B., Sun, W., Yu, S., Zheng, H. & Deng, L., 6/06/2025, In: Scientific Reports. 15, 1, 19904.

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

3. High-resolution UAV-based blueberry scorch virus mapping utilizing a deep vision transformer algorithm

   Jamali, A., Lu, B., Gerbrandt, E. M., Teasdale, C., Burlakoti, R. R., Sabaratnam, S., McIntyre, J., Yang, L., Schmidt, M., McCaffrey, D. & Ghamisi, P., 28/02/2025, In: Computers and Electronics in Agriculture. 229, 109726.

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

4. HFN: Heterogeneous feature network for multivariate time series anomaly detection

   Zhan, J., Wu, C., Yang, C., Miao, Q. & Ma, X., 30/06/2024, In: Information Sciences. 670, 15 p., 120626.

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

5. Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond

   Mu, R., Marcolino, L., Ni, Q. & Ruan, W., 31/03/2024, In: Neural Networks. 171, p. 127-143 17 p.

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

6. Deep learning based object detection from multi-modal sensors: an overview

   Liu, Y., Meng, S., Wang, H. & Liu, J., 29/02/2024, In: Multimedia Tools and Applications. 83, 7, p. 19841-19870 30 p.

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

7. Searching for long faint astronomical high energy transients: a data driven approach

   Crupi, R., Dilillo, G., Bissaldi, E., Ward, K., Fiore, F. & Vacchi, A., 22/11/2023, In: Experimental Astronomy. 56, p. 421-476 56 p.

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

8. Internet of things-enabled real-time health monitoring system using deep learning

   Wu, X., Liu, C., Wang, L. & Bilal, M., 31/07/2023, In: Neural Computing and Applications. 35, 20, p. 14565-14576 12 p.

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

9. Intelligent time-series forecasting framework for non-linear dynamic workload and resource prediction in cloud

   Ullah, F., Bilal, M. & Yoon, S. K., 30/04/2023, In: Computer Networks. 225, 109653.

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

10. 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

11. Generalizing universal adversarial perturbations for deep neural networks

    Zhang, Y., Ruan, W., Wang, F. & Huang, X., 22/03/2023, (E-pub ahead of print) In: Machine Learning.

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

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