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Lancaster Intelligent, Robotic and Autonomous Systems Centre

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  1. Published

    Decentralised Task Allocation in the Fog: Estimators for Effective Ad-hoc Teamwork

    Shafipour Yourdshahi, E., Do Carmo Alves, M., Soriano Marcolino, L. & Angelov, P., 8/05/2020.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  2. Published

    Decentralized Data Flows for the Functional Scalability of Service-Oriented IoT Systems

    Arellanes, D., Lau, K-K. & Sakellariou, R., 30/06/2023, In: The Computer Journal. 66, 6, p. 1477-1506 30 p.

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

  3. Published

    Decentralized Data Flows in Algebraic Service Compositions for the Scalability of IoT Systems

    Arellanes, D. & Lau, K-K., 22/07/2019, IEEE 5th World Forum on Internet of Things (WF-IoT 2019). IEEE, p. 668-673 6 p. 8767238

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

  4. Published

    Deep Learning based Automated Forest Health Diagnosis from Aerial Images

    Chiang, C., Angelov, P., Barnes, C. & Jiang, R., 28/07/2020, In: IEEE Access. 8, p. 144064 - 144076 13 p.

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

  5. Published

    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. Published

    Deep learning based pedestrian detection at distance in smart cities

    Dinakaran, R. K., Easom, P., Bouridane, A., Zhang, L., Jiang, R., Mehboob, F. & Rauf, A., 1/01/2020, Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. Bi, Y., Bhatia, R. & Kapoor, S. (eds.). Springer-Verlag, p. 588-593 6 p. (Advances in Intelligent Systems and Computing; vol. 1038).

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

  7. Published

    Deep Learning for Driverless Vehicles

    Hodges, C., An, S., Rahmani, H. & Bennamoun, M., 1/03/2019, Handbook of Deep Learning Applications. Balas, V., Roy, S., Sharma, D. & Samui, P. (eds.). Cham: Springer, p. 83-99 17 p. ( Smart Innovation, Systems and Technologies; vol. 136).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  8. Published

    Deep learning-based landslide susceptibility mapping

    Azarafza, M., Akgün, H., Atkinson, P. M. & Derakhshani, R., 16/12/2021, In: Scientific Reports. 11, 1, 16 p., 24112.

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

  9. Published

    Deep reinforcement Learning Challenges and Opportunities for Urban Water Systems

    Negm, A., Ma, X. & Aggidis, G., 1/04/2024, In: Water Research. 253, 121145.

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

  10. Published

    Deep Reinforcement Learning-Based Control Framework for Multilateral Telesurgery

    Bacha, S., Bai, W., Wang, Z., Xiao, B. & Yeatman, E., 31/05/2022, In: IEEE Transactions on Medical Robotics and Bionics. 4, 2, p. 352-355 4 p.

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

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