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 | 169 | 2020 |
Deep learning for network traffic monitoring and analysis (ntma): A survey M Abbasi, A Shahraki, A Taherkordi Computer Communications, 2021 | 156 | 2021 |
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 | 96 | 2020 |
A comprehensive survey on 6G networks: Applications, core services, enabling technologies, and future challenges A Shahraki, M Abbasi, M Piran, A Taherkordi arXiv preprint arXiv:2101.12475, 2021 | 87 | 2021 |
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 | 80 | 2020 |
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 | 34* | 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 | 32 | 2011 |
From statistical- to machine learning-based network traffic prediction I Lohrasinasab, A Shahraki, A Taherkordi, A Jurcut Transactions on Emerging Telecommunication Technologies, 2021 | 29 | 2021 |
Hierarchical Distributed Management Clustering Protocol for Wireless Sensor Networks A Shahraki, M Rafsanjani, AB Saeid Telecommunication Systems 65 (1), 193-214, 2017 | 27 | 2017 |
A comparative study on online machine learning techniques for network traffic streams analysis A Shahraki, M Abbasi, A Taherkordi, A Jurcut Computer Networks, 2022 | 21 | 2022 |
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 | 16 | 2021 |
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 | 16 | 2014 |
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 | 14 | 2019 |
Social ethics in Internet of Things: An outline and review A Shahraki, Ø Haugen 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 509-516, 2018 | 14 | 2018 |
TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT Networks A Shahraki, A Taherkordi, O Haugen Computer Networks, 2021 | 12 | 2021 |
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 | 12 | 2020 |
A comprehensive survey on 6g networks: Applications, core services, enabling technologies, and future challenges. arXiv 2021 A Shahraki, M Abbasi, MJ Piran, M Chen, S Cui arXiv preprint arXiv:2101.12475, 0 | 11 | |
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 | 10 | 2021 |
Last Significant Trend Change Detection Method for Offline Poisson Distribution Datasets HT Amin Shahraki, Øystein Haugen International Symposium on Networks, Computers and Communications (ISNCC), 2017 | 9 | 2017 |
Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks A Shahraki, M Abbasi, A Taherkordi, M Kaosar ACM SIGCOMM 2021 FlexNets workshop, 2021 | 4 | 2021 |