Results for Neural networks

Publications & Outputs

1. Trustworthy Fault Diagnosis with Uncertainty Estimation through Evidential Convolutional Neural Networks

   Zhou, H., Chen, W., Cheng, L., Liu, J. & Xia, M., 30/11/2023, In: IEEE Transactions on Industrial Informatics. 19, 11, p. 10842-10852 11 p., 11.

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

2. Quantifying safety risks of deep neural networks

   Xu, P., Ruan, W. & Huang, X., 31/08/2023, In: Complex & Intelligent Systems. 9, 4, p. 3801-3818 18 p.

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

3. Electron beam weld penetration depth prediction improved by beam characterisation

   Yin, Y., Kennedy, A., Mitchell, T., Sieczkiewicz, N., Jefimovs, V. & Tian, Y., 31/03/2023, In: International Journal of Advanced Manufacturing Technology. 125, 1-2, p. 399-415 17 p.

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

4. Reliable and Intelligent Fault Diagnosis with Evidential VGG Neural Networks

   Zhou, H., Chen, W., Cheng, L., Williams, D., De Silva, C. W. & Xia, M., 7/03/2023, In: IEEE Transactions on Instrumentation and Measurement. 72, p. 1-12 12 p., 3508612.

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

5. Deep learning based brain tumor segmentation: a survey

   Liu, Z., Tong, L., Chen, L., Jiang, Z., Zhou, F., Zhang, Q., Zhang, X., Jin, Y. & Zhou, H., 28/02/2023, In: Complex and Intelligent Systems. 9, 1, p. 1001-1026 26 p., 639.

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

6. Sampled-data Control through Model-Free Reinforcement Learning with Effective Experience Replay

   Xiao, B., Lam, H-K., Su, X., Wang, Z., P.W.Lo, F., Chen, S. & Yeatman, E., 28/02/2023, In: Journal of Automation and Intelligence. 2, 1, 11 p.

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

7. An ABAQUS® plug-in for generating virtual data required for inverse analysis of unidirectional composites using artificial neural networks

   Ismail, Y., Wan, L., Chen, J., Ye, J. & Yang, D., 31/10/2022, In: Engineering with Computers. 38, 5, p. 4323-4335 13 p., 5.

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

8. A high-performance, hardware-based deep learning system for disease diagnosis

   Siddique, A., Iqbal, M. A., Aleem, M. & Lin, J. C-W., 19/07/2022, In: PeerJ Computer Science. 8, e1034.

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

9. Real-time head-based deep-learning model for gaze probability regions in collaborative VR

   Bovo, R., Giunchi, D., Sidenmark, L., Costanza, E., Gellersen, H. & Heinis, T., 11/06/2022, ACM Symposium on Eye Tracking Research and Applications. New York: ACM, 8 p. 6

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

10. Back propagation modeling of shear stress and viscosity of aqueous Ionic-MXene nanofluids

    Afzal, A., Yashawantha, K. M., Aslfattahi, N., Saidur, R., Abdul Razak, R. K. & Subbiah, R., 31/08/2021, In: Journal of Thermal Analysis and Calorimetry. 145, p. 2129-2149 21 p.

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

11. Micromechanical analysis of UD CFRP composite lamina under multiaxial loading with different loading paths

    Chen, J., Wan, L., Ismail, Y., Hou, P., Ye, J. & Yang, D., 1/08/2021, In: Composite Structures. 269, 13 p., 114024.

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

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