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Amin Shahraki
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2020 – today
- 2024
- [j19]Hadi Ghaemi, Zakieh Alizadehsani, Amin Shahraki
, Juan M. Corchado:
Transformers in source code generation: A comprehensive survey. J. Syst. Archit. 153: 103193 (2024) - [c6]Emad Hammami, Peiyuan Guan, Amir Taherkordi, Amin Shahraki, Dapeng Lan:
AMbit: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems. ICFEC 2024: 1-10 - 2023
- [j18]Zakieh Alizadehsani
DCServCG: A data-centric service code generation using deep learning. Eng. Appl. Artif. Intell. 123(Part B): 106304 (2023) - [j17]Mahmoud Abbasi
Industrial data monetization: A blockchain-based industrial IoT data trading system. Internet Things 24: 100959 (2023) - [j16]Amin Shahraki
When machine learning meets Network Management and Orchestration in Edge-based networking paradigms. J. Netw. Comput. Appl. 212: 103558 (2023) - 2022
- [j15]Amin Shahraki
A comparative study on online machine learning techniques for network traffic streams analysis. Comput. Networks 207: 108836 (2022) - [j14]Iraj Lohrasbinasab
From statistical- to machine learning-based network traffic prediction. Trans. Emerg. Telecommun. Technol. 33(4) (2022) - [j13]Amin Shahraki
Active Learning for Network Traffic Classification: A Technical Study. IEEE Trans. Cogn. Commun. Netw. 8(1): 422-439 (2022) - [c5]Mahmoud Abbasi, Amir Taherkordi, Amin Shahraki:
FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification. SMARTCOMP 2022: 206-212 - 2021
- [j12]Mahmoud Abbasi
Synchronization Techniques in "Device to Device- and Vehicle to Vehicle-Enabled" Cellular Networks: A survey. Comput. Electr. Eng. 90: 106955 (2021) - [j11]Amin Shahraki
TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks. Comput. Networks 194: 108125 (2021) - [j10]Mahmoud Abbasi
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey. Comput. Commun. 170: 19-41 (2021) - [j9]Mahmoud Abbasi, Amin Shahraki
Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey. Eng. Appl. Artif. Intell. 102: 104234 (2021) - [j8]Amin Shahraki
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms. IEEE Trans. Netw. Serv. Manag. 18(2): 2242-2274 (2021) - [c4]Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Mohammed Kaosar
Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks. FlexNets@SIGCOMM 2021: 38-43 - [i2]Amin Shahraki, Mahmoud Abbasi
A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges. CoRR abs/2101.12475 (2021) - [i1]Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut:
Active Learning for Network Traffic Classification: A Technical Survey. CoRR abs/2106.06933 (2021) - 2020
- [j7]Amin Shahraki
Clustering objectives in wireless sensor networks: A survey and research direction analysis. Comput. Networks 180: 107376 (2020) - [j6]Amin Shahraki
Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost. Eng. Appl. Artif. Intell. 94: 103770 (2020) - [j5]Amin Shahraki
A comparative node evaluation model for highly heterogeneous massive-scale Internet of Things-Mist networks. Trans. Emerg. Telecommun. Technol. 31(12) (2020)
2010 – 2019
- 2019
- [j4]Amin Shahraki
An Outlier Detection Method to Improve Gathered Datasets for Network Behavior Analysis in IoT. J. Commun. 14(6): 455-462 (2019) - [d3]Marius Geitle, Amin Shahraki:
A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method-machine learning. IEEE DataPort, 2019 - [d2]Amin Shahraki:
A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method. IEEE DataPort, 2019 - [d1]Amin Shahraki, Marius Geitle:
A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost. IEEE DataPort, 2019 - 2018
- [c3]Amin Shahraki
Social ethics in Internet of Things: An outline and review. ICPS 2018: 509-516 - [c2]Amin Shahraki
A Review on the effects of IoT and Smart Cities Technologies on Urbanism. SEEDA-CECNSM 2018: 1-8 - 2017
- [j3]Amin Shahraki
Hierarchical distributed management clustering protocol for wireless sensor networks. Telecommun. Syst. 65(1): 193-214 (2017) - [c1]Amin Shahraki
Last significant trend change detection method for offline poisson distribution datasets. ISNCC 2017: 1-7 - 2014
- [j2]Marjan Kuchaki Rafsanjani, Atieh Rezaei, Amin Shahraki
QARIMA: A new approach to prediction in queue theory. Appl. Math. Comput. 244: 514-525 (2014) - 2011
- [j1]Amin Shahraki
A new approach for energy and delay trade-off intra-clustering routing in WSNs. Comput. Math. Appl. 62(4): 1670-1676 (2011)
Coauthor Index
aka: Amir Taherkordi
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