Amin Shahraki

Orcid: 0000-0002-5065-9968

According to our database1, Amin Shahraki authored at least 28 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Industrial data monetization: A blockchain-based industrial IoT data trading system.
Internet Things, December, 2023

When machine learning meets Network Management and Orchestration in Edge-based networking paradigms.
J. Netw. Comput. Appl., March, 2023

DCServCG: A data-centric service code generation using deep learning.
Eng. Appl. Artif. Intell., 2023

2022
Active Learning for Network Traffic Classification: A Technical Study.
IEEE Trans. Cogn. Commun. Netw., 2022

From statistical- to machine learning-based network traffic prediction.
Trans. Emerg. Telecommun. Technol., 2022

A comparative study on online machine learning techniques for network traffic streams analysis.
Comput. Networks, 2022

FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

2021
A Survey and Future Directions on Clustering: From WSNs to IoT and Modern Networking Paradigms.
IEEE Trans. Netw. Serv. Manag., 2021

Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey.
Eng. Appl. Artif. Intell., 2021

Active Learning for Network Traffic Classification: A Technical Survey.
CoRR, 2021

A Comprehensive Survey on 6G Networks: Applications, Core Services, Enabling Technologies, and Future Challenges.
CoRR, 2021

Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey.
Comput. Commun., 2021

TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks.
Comput. Networks, 2021

Synchronization Techniques in "Device to Device- and Vehicle to Vehicle-Enabled" Cellular Networks: A survey.
Comput. Electr. Eng., 2021

Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks.
Proceedings of the FlexNets '21: Proceedings of the 4th FlexNets Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility, 2021

2020
A comparative node evaluation model for highly heterogeneous massive-scale Internet of Things-Mist networks.
Trans. Emerg. Telecommun. Technol., 2020

Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.
Eng. Appl. Artif. Intell., 2020

Clustering objectives in wireless sensor networks: A survey and research direction analysis.
Comput. Networks, 2020

2019
A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost.
Dataset, March, 2019

A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method.
Dataset, January, 2019

A distributed Front-end Edge node assessment model by using Fuzzy and a learning-to-rank method-machine learning.
Dataset, January, 2019

An Outlier Detection Method to Improve Gathered Datasets for Network Behavior Analysis in IoT.
J. Commun., 2019

2018
A Review on the effects of IoT and Smart Cities Technologies on Urbanism.
Proceedings of the 2018 South-Eastern European Design Automation, 2018

Social ethics in Internet of Things: An outline and review.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2017
Hierarchical distributed management clustering protocol for wireless sensor networks.
Telecommun. Syst., 2017

Last significant trend change detection method for offline poisson distribution datasets.
Proceedings of the 2017 International Symposium on Networks, Computers and Communications, 2017

2014
QARIMA: A new approach to prediction in queue theory.
Appl. Math. Comput., 2014

2011
A new approach for energy and delay trade-off intra-clustering routing in WSNs.
Comput. Math. Appl., 2011


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