| Host load prediction in cloud computing with discrete wavelet transformation (dwt) and bidirectional gated recurrent unit (bigru) network J Dogani, F Khunjush, M Seydali Computer Communications 198, 157-174, 2023 | 48 | 2023 |
| Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism J Dogani, F Khunjush, MR Mahmoudi, M Seydali The Journal of Supercomputing 79 (3), 3437-3470, 2023 | 41 | 2023 |
| Auto-scaling techniques in container-based cloud and edge/fog computing: Taxonomy and survey J Dogani, R Namvar, F Khunjush Computer Communications 209, 120-150, 2023 | 37 | 2023 |
| K-agrued: A container autoscaling technique for cloud-based web applications in kubernetes using attention-based gru encoder-decoder J Dogani, F Khunjush, M Seydali Journal of Grid Computing 20 (4), 40, 2022 | 18 | 2022 |
| DCSP: A delay and cost-aware service placement and load distribution algorithm for IoT-based fog networks S Azizi, M Shojafar, P Farzin, J Dogani Computer Communications 215, 9-20, 2024 | 11 | 2024 |
| Proactive auto-scaling technique for web applications in container-based edge computing using federated learning model J Dogani, F Khunjush Journal of Parallel and Distributed Computing 187, 104837, 2024 | 9 | 2024 |
| Cloud service composition using genetic algorithm and particle swarm optimization J Dogani, F Khunjush 2021 11th International Conference on Computer Engineering and Knowledge …, 2021 | 5 | 2021 |
| Streaming traffic classification: a hybrid deep learning and big data approach M Seydali, F Khunjush, J Dogani Cluster Computing 27 (4), 5165-5193, 2024 | 4 | 2024 |
| A new method to detect attacks on the Internet of Things (IoT) using adaptive learning based on cellular learning automata J Dogani, M Farahmand, H Daryanavard ETRI Journal 44 (1), 155-167, 2022 | 4 | 2022 |
| A two-tier multi-objective service placement in container-based fog-cloud computing platforms J Dogani, A Yazdanpanah, A Zare, F Khunjush Cluster Computing 27 (4), 4491-4514, 2024 | 3 | 2024 |
| CBS: A deep learning approach for encrypted traffic classification with mixed spatio-temporal and statistical features M Seydali, F Khunjush, B Akbari, J Dogani IEEE Access 11, 141674-141702, 2023 | 3 | 2023 |
| Cbs: A Deep Learning Approach for Encrypted Traffic Classification with a Mixed Spatio-Temporal and Statistical Features Classification M Seydali, F Khunjush, B Akbari, J Dogani Available at SSRN 4189457, 2022 | 1 | 2022 |
Farshad Khunjush, Associate ProfessorSchool of Electrical & Computer Engineering, Shiraz Universityshirazu.ac.ir üzerinde doğrulanmış e-posta adresine sahip