| Deep learning for network traffic monitoring and analysis (ntma): A survey M Abbasi, A Shahraki, A Taherkordi Computer Communications, 2021 | 415 | 2021 |
| Clustering objectives in wireless sensor networks: A survey and research direction analysis A Shahraki, A Taherkordi, Ø Haugen, F Eliassen Computer Networks 180, 107376, 2020 | 314 | 2020 |
| Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost A Shahraki, M Abbasi, Ø Haugen Engineering Applications of Artificial Intelligence 94, 2020 | 181 | 2020 |
| A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms A Shahraki, A Taherkordi, Ø Haugen, F Eliassen IEEE Transactions on Network and Service Management, 2020 | 164 | 2020 |
| A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges A Shahraki, M Abbasi, MJ Piran, A Taherkordi arXiv preprint arXiv:2101.12475, 2021 | 163 | 2021 |
| A comparative study on online machine learning techniques for network traffic streams analysis A Shahraki, M Abbasi, A Taherkordi, A Jurcut Computer Networks, 2022 | 87 | 2022 |
| From statistical- to machine learning-based network traffic prediction I Lohrasinasab, A Shahraki, A Taherkordi, A Jurcut Transactions on Emerging Telecommunication Technologies, 2021 | 80 | 2021 |
| Active Learning for Network Traffic Classification: A Technical Study A Shahraki, M Abbasi, A Taherkordi, A Delia Jurcut IEEE Transactions on Cognitive Communications and Networking, 2021 | 73 | 2021 |
| Hierarchical Distributed Management Clustering Protocol for Wireless Sensor Networks A Shahraki, M Rafsanjani, AB Saeid Telecommunication Systems 65 (1), 193-214, 2017 | 39 | 2017 |
| Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey M Abbasi, A Shahraki, MJ Piran, A Taherkordi Engineering Applications of Artificial Intelligence 102, 104234, 2021 | 31 | 2021 |
| A new approach for energy and delay trade-off intra-clustering routing in WSNs A Shahraki, MK Rafsanjani, AB Saeid Computers & Mathematics with Applications 62 (4), 1670-1676, 2011 | 31 | 2011 |
| When machine learning meets network management and orchestration in Edge-based networking paradigms A Shahraki, T Ohlenforst, F Kreyß Journal of Network and Computer Applications, 103558, 2023 | 24 | 2023 |
| Social ethics in Internet of Things: An outline and review A Shahraki, Ø Haugen 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 509-516, 2018 | 24 | 2018 |
| Synchronization Techniques in ‘‘Device to Device- and Vehicle to Vehicle-Enabled’’ Cellular Networks: A survey M Abbasi, A Shahraki, H Barzegar, C Pahl Computers and Electrical Engineering 90, 2021 | 23 | 2021 |
| A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges. arXiv 2021 A Shahraki, M Abbasi, M Piran, A Taherkordi arXiv preprint arXiv:2101.12475, 2021 | 21 | 2021 |
| TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT Networks A Shahraki, A Taherkordi, O Haugen Computer Networks, 2021 | 21 | 2021 |
| An outlier detection method to improve gathered datasets for network behavior analysis in IoT A Shahraki, Ø Haugen Journal of Communications 14 (6), 455-462, 2019 | 19 | 2019 |
| QARIMA: A new approach to prediction in queue theory MK Rafsanjani, A Rezaei, A Shahraki, AB Saeid Applied Mathematics and Computation 244, 514-525, 2014 | 18 | 2014 |
| A comparative node evaluation model for highly heterogeneous massive‐scale Internet of Things‐Mist networks A Shahraki, M Geitle, Ø Haugen Transactions on Emerging Telecommunications Technologies, 2020 | 17 | 2020 |
| FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification M Abbasi, A Taherkordi, A Shahraki International Conference on Smart Computing (SMARTCOMP), 2022 | 13 | 2022 |
Amir TaherkordiProfessor of Computer Science, University of Oslo, Norwayifi.uio.no üzerinde doğrulanmış e-posta adresine sahip