Akbar Telikani
Orcid: 0000-0003-4467-4915
  According to our database1,
  Akbar Telikani
  authored at least 22 papers
  between 2017 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
- 
    on orcid.org
On csauthors.net:
Bibliography
  2025
A Periodic Adversarial Threat Model for Deep Neural Networks in Aerial Vehicle Detection.
    
  
    IEEE Internet Things J., July, 2025
    
  
Fire front path planning and tracking control of Uncrewed Aerial Vehicles using deep reinforcement learning.
    
  
    Robotics Auton. Syst., 2025
    
  
  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