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Publications & Outputs

  1. 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 journalJournal articlepeer-review

  2. 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., 28/03/2021, In: Journal of Thermal Analysis and Calorimetry.

    Research output: Contribution to journalJournal articlepeer-review

  3. 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 journalJournal articlepeer-review

  4. 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 journalJournal articlepeer-review

  5. 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 journalJournal articlepeer-review

  6. 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 journalJournal articlepeer-review

  7. Forecasting occupancy rate with Bayesian compression methods

    Assaf, A. G. & Tsionas, M. G., 31/03/2019, In: Annals of Tourism Research. 75, p. 439-449 11 p.

    Research output: Contribution to journalJournal articlepeer-review

  8. Auto-balanced filter pruning for efficient convolutional neural networks

    Ding, X., Ding, G., Han, J. & Tang, S., 27/04/2018, THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.. AAAI, p. 6797-6804 8 p. (THE THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE THE THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE THE EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE.).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  9. Neglected chaos in international stock markets: Bayesian analysis of the joint return-volatility dynamical system

    Tsionas, M. & Michaelides, P. G., 15/09/2017, In: Physica A: Statistical Mechanics and its Applications. 482, p. 95-107 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. A comparison of AdaBoost algorithms for time series forecast combination

    Barrow, D. K. & Crone, S. F. W. M., 1/10/2016, In: International Journal of Forecasting. 32, 4, p. 1103-1119 17 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. A new multilayer feedforward network based on trimmed mean neuron model

    Yolcu, U., Bas, E., Egrioglu, E. & Aladag, C. H., 1/01/2015, In: Neural Network World. 25, 6, p. 587-602 16 p.

    Research output: Contribution to journalJournal articlepeer-review

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