Amin Shahraki

According to our database, Amin Shahraki authored at least 30 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transformers in source code generation: A comprehensive survey.

Hadi Ghaemi, Zakieh Alizadehsani, Amin Shahraki, Juan M. Corchado

J. Syst. Archit., 2024

AMbit: An Efficient Pruning Technique in Federated Learning for Edge Computing Systems.

Emad Hammami, Peiyuan Guan, Amir Taherkordi, Amin Shahraki, Dapeng Lan

Proceedings of the 8th IEEE International Conference on Fog and Edge Computing, 2024

2023

Industrial data monetization: A blockchain-based industrial IoT data trading system.

Mahmoud Abbasi, Javier Prieto, Amin Shahraki, Juan M. Corchado

Internet Things, December, 2023

When machine learning meets Network Management and Orchestration in Edge-based networking paradigms.

Amin Shahraki, Torsten Ohlenforst, Felix Kreyß

J. Netw. Comput. Appl., March, 2023

DCServCG: A data-centric service code generation using deep learning.

Zakieh Alizadehsani, Hadi Ghaemi, Amin Shahraki, Alfonso González-Briones, Juan M. Corchado

Eng. Appl. Artif. Intell., 2023

2022

Active Learning for Network Traffic Classification: A Technical Study.

Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut

IEEE Trans. Cogn. Commun. Netw., 2022

From statistical- to machine learning-based network traffic prediction.

Iraj Lohrasbinasab, Amin Shahraki, Amir Taherkordi, Anca Delia Jurcut

Trans. Emerg. Telecommun. Technol., 2022

A comparative study on online machine learning techniques for network traffic streams analysis.

Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut

Comput. Networks, 2022

FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification.

Mahmoud Abbasi, Amir Taherkordi, Amin Shahraki

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.

Amin Shahraki, Amir Taherkordi, Øystein Haugen, Frank Eliassen

IEEE Trans. Netw. Serv. Manag., 2021

Deep Reinforcement Learning for QoS provisioning at the MAC layer: A Survey.

Mahmoud Abbasi, Amin Shahraki, Md. Jalil Piran, Amir Taherkordi

Eng. Appl. Artif. Intell., 2021

Active Learning for Network Traffic Classification: A Technical Survey.

Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut

CoRR, 2021

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

Amin Shahraki, Mahmoud Abbasi, Md. Jalil Piran, Mingzhe Chen, Shuguang Cui

CoRR, 2021

Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey.

Mahmoud Abbasi, Amin Shahraki, Amir Taherkordi

Comput. Commun., 2021

TONTA: Trend-based Online Network Traffic Analysis in ad-hoc IoT networks.

Amin Shahraki, Amir Taherkordi, Øystein Haugen

Comput. Networks, 2021

Synchronization Techniques in "Device to Device- and Vehicle to Vehicle-Enabled" Cellular Networks: A survey.

Mahmoud Abbasi, Amin Shahraki, Hamid R. Barzegar, Claus Pahl

Comput. Electr. Eng., 2021

Internet Traffic Classification Using an Ensemble of Deep Convolutional Neural Networks.

Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Mohammed Kaosar

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.

Amin Shahraki, Marius Geitle, Øystein Haugen

Trans. Emerg. Telecommun. Technol., 2020

Boosting algorithms for network intrusion detection: A comparative evaluation of Real AdaBoost, Gentle AdaBoost and Modest AdaBoost.

Amin Shahraki, Mahmoud Abbasi, Øystein Haugen

Eng. Appl. Artif. Intell., 2020

Clustering objectives in wireless sensor networks: A survey and research direction analysis.

Amin Shahraki, Amir Taherkordi, Øystein Haugen, Frank Eliassen

Comput. Networks, 2020

2019

A distributed Fog node assessment model by using Fuzzy rules learned by XGBoost.

Amin Shahraki, Marius Geitle

Dataset, March, 2019

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

Amin Shahraki

Dataset, January, 2019

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

Marius Geitle, Amin Shahraki

Dataset, January, 2019

An Outlier Detection Method to Improve Gathered Datasets for Network Behavior Analysis in IoT.

Amin Shahraki, Øystein Haugen

J. Commun., 2019

2018

A Review on the effects of IoT and Smart Cities Technologies on Urbanism.

Amin Shahraki, Delaram Khojasteh Kaffash, Øystein Haugen

Proceedings of the 2018 South-Eastern European Design Automation, 2018

Social ethics in Internet of Things: An outline and review.

Amin Shahraki, Øystein Haugen

Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2017

Hierarchical distributed management clustering protocol for wireless sensor networks.

Amin Shahraki, Marjan Kuchaki Rafsanjani, Arsham Borumand Saeid

Telecommun. Syst., 2017

Last significant trend change detection method for offline poisson distribution datasets.

Amin Shahraki, Hamed Taherzadeh, Øystein Haugen

Proceedings of the 2017 International Symposium on Networks, Computers and Communications, 2017

2014

QARIMA: A new approach to prediction in queue theory.

Marjan Kuchaki Rafsanjani, Atieh Rezaei, Amin Shahraki, Arsham Borumand Saeid

Appl. Math. Comput., 2014

2011

A new approach for energy and delay trade-off intra-clustering routing in WSNs.

Amin Shahraki, Marjan Kuchaki Rafsanjani, Arsham Borumand Saeid

Comput. Math. Appl., 2011