Items where Author is "Easom, Philip"

Article

Easom, Philip, Bouridane, Ahmed, Belatreche, Ammar and Jiang, Richard (2021) On Depth, Robustness and Performance Using the Data Re-Uploading Single-Qubit Classifier. IEEE Access, 9. pp. 65127-65139. ISSN 2169-3536

Book Section

Easom, Philip, Bouridane, Ahmed, Qiang, Feiyu, Zhang, Li, Downs, Carolyn and Jiang, Richard (2020) In-House Deep Environmental Sentience for Smart Homecare Solutions Toward Ageing Society. In: 2020 International Conference on Machine Learning and Cybernetics (ICMLC). Proceedings - International Conference on Machine Learning and Cybernetics (2020). IEEE, Piscataway, NJ, pp. 261-266. ISBN 9781665430074, 9780738124261, 9781665419437

Dinakaran, Ranjith, Easom, Philip, Bouridane, Ahmed, Zhang, Li, Jiang, Richard, Mehboob, Fozia and Rauf, Abdul (2020) Deep Learning based Pedestrian Detection at Distance in Smart Cities. In: Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys). Volume 2. Advances in Intelligent Systems and Computing (1038). Springer, Cham, pp. 588-593. ISBN 9783030295127, 9783030295134

Conference or Workshop Item

Dinakaran, Ranjith, Easom, Philip, Zhang, Li, Bouridane, Ahmed, Jiang, Richard and Edirisinghe, Eran (2019) Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks. In: IJCNN 2019 - 2019 International Joint Conference on Neural Networks, 14th - 19th July 2019, Budapest, Hungary.