Akbar Telikani

Orcid: 0000-0003-4467-4915

According to our database1, Akbar Telikani authored at least 15 papers between 2017 and 2024.

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Bibliography

2024
A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT.
IEEE Trans. Ind. Informatics, March, 2024

2023
An edge-aided parallel evolutionary privacy-preserving algorithm for Internet of Things.
Internet Things, October, 2023

Feasibility Analysis of Data Transmission in Partially Damaged IoT Networks of Vehicles.
IEEE Trans. Intell. Transp. Syst., April, 2023

2022
A Cost-Sensitive Deep Learning-Based Approach for Network Traffic Classification.
IEEE Trans. Netw. Serv. Manag., 2022

Distributed agent-based deep reinforcement learning for large scale traffic signal control.
Knowl. Based Syst., 2022

Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing.
IEEE Internet Things J., 2022

Evolutionary Machine Learning: A Survey.
ACM Comput. Surv., 2022

DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL.
CoRR, 2022

A privacy-aware data sharing framework for Internet of Things through edge computing platform.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2022

2021
High-performance implementation of evolutionary privacy-preserving algorithm for big data using GPU platform.
Inf. Sci., 2021

Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things.
Internet Things, 2021

2020
A survey of evolutionary computation for association rule mining.
Inf. Sci., 2020

Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony.
Expert Syst. Appl., 2020

2018
Data sanitization in association rule mining: An analytical review.
Expert Syst. Appl., 2018

2017
Optimizing association rule hiding using combination of border and heuristic approaches.
Appl. Intell., 2017


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