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Results for Neural networks

Publications & Outputs

  1. 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/MagazineJournal articlepeer-review

  2. 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., 9/07/2022, (E-pub ahead of print) In: Complex and Intelligent Systems. 26 p., 639.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Quantifying safety risks of deep neural networks

    Xu, P., Ruan, W. & Huang, X., 9/07/2022, (E-pub ahead of print) In: Complex & Intelligent Systems.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. 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/ISSNConference contribution/Paperpeer-review

  5. 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., 31/10/2021, (E-pub ahead of print) In: Engineering with Computers. 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. 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/MagazineJournal articlepeer-review

  7. 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/MagazineJournal articlepeer-review

  8. A micromechanics and machine learning coupled approach for failure prediction of unidirectional CFRP composites under triaxial loading: A preliminary study

    Chen, J., Wan, L., Ismail, Y., Ye, J. & Yang, D., 1/07/2021, In: Composite Structures. 267, 14 p., 113876.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. 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/MagazineJournal articlepeer-review

  10. 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/MagazineJournal articlepeer-review

  11. ST-CNN: Spatial-Temporal Convolutional Neural Network for crowd counting in videos

    Miao, Y., Han, J., Gao, Y. & Zhang, B., 1/07/2019, In: Pattern Recognition Letters. 125, p. 113-118 6 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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