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Amin Shahraki
Amin Shahraki
PhD, SMIEEE, Research Scientist in Industrial IoT
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Deep learning for network traffic monitoring and analysis (ntma): A survey
M Abbasi, A Shahraki, A Taherkordi
Computer Communications, 2021
2692021
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
2352020
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
1342020
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
1312021
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
1242020
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
56*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
532022
From statistical- to machine learning-based network traffic prediction
I Lohrasinasab, A Shahraki, A Taherkordi, A Jurcut
Transactions on Emerging Telecommunication Technologies, 2021
532021
Hierarchical Distributed Management Clustering Protocol for Wireless Sensor Networks
A Shahraki, M Rafsanjani, AB Saeid
Telecommunication Systems 65 (1), 193-214, 2017
342017
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
312011
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
202021
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
202021
TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT Networks
A Shahraki, A Taherkordi, O Haugen
Computer Networks, 2021
172021
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
172019
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
172014
Social ethics in Internet of Things: An outline and review
A Shahraki, Ø Haugen
2018 IEEE Industrial Cyber-Physical Systems (ICPS), 509-516, 2018
152018
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
142023
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
142021
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
142020
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
92017
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