Akbar Telikani
Orcid: 0000-0003-4467-4915
According to our database1,
Akbar Telikani
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Adaptive Period Control for Communication Efficient and Fast Convergent Federated Learning.
IEEE Trans. Mob. Comput., December, 2024
IEEE Trans. Intell. Transp. Syst., November, 2024
A Cost-Sensitive Machine Learning Model With Multitask Learning for Intrusion Detection in IoT.
IEEE Trans. Ind. Informatics, March, 2024
CoRR, 2024
Smart Verification of Unmanned Aerial Vehicle GPS Geolocation via Received Signal Strength Indicators.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Evaluating Energy Consumption Prediction Models of a Quadcopter Unmanned Aerial Vehicle.
Proceedings of the 100th IEEE Vehicular Technology Conference, 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
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
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
Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony.
Expert Syst. Appl., 2020
2018
Expert Syst. Appl., 2018
2017
Optimizing association rule hiding using combination of border and heuristic approaches.
Appl. Intell., 2017