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Results for Deep learning

Publications & Outputs

  1. ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

    Gill, S. S., Tuli, S., Toosi, A. N., Cuadrado, F., Garraghan, P., Bahsoon, R., Lutfiyya, H., Sakellariou, R., Rana, O., Dustdar, S. & Buyya, R., 15/04/2020, In : Journal of Systems and Software. 166, 20 p., 110596.

    Research output: Contribution to journalJournal article

  2. An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study

    Williams, B., Borroni, D., Liu, R., Zhao, Y., Zhang, J., Lim, J., Ma, B., Romano, V., Qi, H., Ferdousi, M., Petropoulos, I., Ponirakis, G., Kaye, S., Malik, R., Alam, U. & Zheng, Y., 1/02/2020, In : Diabetologia. 63, 2, p. 419-430 12 p.

    Research output: Contribution to journalJournal article

  3. Integrated deep learning model for predicting electrical power generation from wave energy converter

    Ni, C., Ma, X. & Wang, J., 11/11/2019, 2019 25th IEEE International Conference on Automation & Computing (ICAC'19). IEEE

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

  4. An integrated precision farming application based on 5G, UAV and deep learning technologies

    Razaak, M., Kerdegari, H., Davies, E., Abozariba, R., Broadbent, M., Argyriou, V. & Remagnino, P., 1/09/2019, Computer Analysis of Images and Patterns - CAIP 2019 International Workshops, ViMaBi and DL-UAV 2019, Proceedings: CAIP 2019 International Workshops, ViMaBi and DL-UAV, Salerno, Italy, September 6, 2019, Proceedings. Vento, M., Percannella, G., Colantonio, S., Giorgi, D., Matuszewski, B. J., Kerdegari, H. & Razaak, M. (eds.). Cham: Springer-Verlag, p. 109-119 11 p. (Communications in Computer and Information Science; vol. 1089).

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

  5. 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 article

  6. AI on the Move: From On-Device to On-Multi-Device

    Flores, H., Nurmi, P. & Hui, P., 6/06/2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, p. 310-315 6 p.

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

  7. Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval

    Wu, G., Han, J., Guo, Y., Liu, L., Ding, G., Ni, Q. & Shao, L., 04/2019, In : IEEE Transactions on Image Processing. 28, 4, p. 1993-2007 15 p.

    Research output: Contribution to journalJournal article

  8. One-Two-One Network for Compression Artifacts Reduction in Remote Sensing

    Zhang, B., Gu, J., Chen, C., Han, J., Su, X., Cao, X. & Liu, J., 11/2018, In : ISPRS Journal of Photogrammetry and Remote Sensing. 145, Part A, p. 184-196 13 p.

    Research output: Contribution to journalJournal article

  9. Deep rule-based classifier with human-level performance and characteristics

    Angelov, P. P. & Gu, X., 10/2018, In : Information Sciences. 463-464, p. 196-213 18 p.

    Research output: Contribution to journalJournal article

  10. Unconstrained Face Recognition Using A Set-to-Set Distance Measure on Deep Learned Features

    Zhao, J., Han, J. & Shao, L., 10/2018, In : IEEE Transactions on Circuits and Systems for Video Technology. 28, 10, p. 2679-2689 11 p.

    Research output: Contribution to journalJournal article

  11. Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In : Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to journalJournal article

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