| Deep learning-based cattle behaviour classification using joint time-frequency data representation S Hosseininoorbin, S Layeghy, B Kusy, R Jurdak, GJ Bishop-Hurley, ... Computers and electronics in agriculture 187, 106241, 2021 | 39 | 2021 |
| Adaptive parameter control of search group algorithm using fuzzy logic applied to networked control systems SFH Noorbin, A Alfi Soft Computing 22 (23), 7939-7960, 2018 | 31 | 2018 |
| Exploring edge TPU for network intrusion detection in IoT S Hosseininoorbin, S Layeghy, M Sarhan, R Jurdak, M Portmann Journal of Parallel and Distributed Computing 179, 104712, 2023 | 27 | 2023 |
| Exploring Edge TPU for deep feed-forward neural networks S Hosseininoorbin, S Layeghy, B Kusy, R Jurdak, M Portmann Internet of Things 22, 100749, 2023 | 14* | 2023 |
| Scaling spectrogram data representation for deep learning on edge tpu S Hosseininoorbin, S Layeghy, B Kusy, R Jurdak, M Portmann 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 13 | 2021 |
| HARBIC: Human activity recognition using bi-stream convolutional neural network with dual joint time–frequency representation S Hosseininoorbin, S Layeghy, B Kusy, R Jurdak, M Portmann Internet of Things 22, 100816, 2023 | 5 | 2023 |
| Phd forum abstract: Activity classification at the edge S Hosseininoorbin 2020 19th ACM/IEEE International Conference on Information Processing in …, 2020 | 5 | 2020 |
| Deep learning at the edge: exploring in-situ classification in IoT S Hosseininoorbin | | 2023 |
| Huang, Yunfeng 363 Iannucci, Bob 277 Islam, Bashima 379 S Abbas, AS Abrar, S Ahmed, N Ahn, MH Alizai, R Arablouei, S Aytaç, ... | | |
Raja JurdakProfessor, Queensland University of Technology (QUT), Australia在 qut.edu.au 的电子邮件经过验证
