Alireza Abbaspour

Orcid: 0000-0003-0703-4505

According to our database1, Alireza Abbaspour authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications.
CoRR, 2024

2023
Secure Control Design for Networked Control Systems With Nonlinear Dynamics Under Time-Delay-Switch Attacks.
IEEE Trans. Autom. Control., February, 2023

2021
Neural Network-Based Active Fault-Tolerant Control Design for Unmanned Helicopter with Additive Faults.
Remote. Sens., 2021

2020
A Neural Adaptive Approach for Active Fault-Tolerant Control Design in UAV.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Detection and Mitigation of False Data Injection Attacks in Networked Control Systems.
IEEE Trans. Ind. Informatics, 2020

Resilient Control Design for Load Frequency Control System Under False Data Injection Attacks.
IEEE Trans. Ind. Electron., 2020

2019
Control of Cooperative Unmanned Aerial Vehicles: Review of Applications, Challenges, and Algorithms.
CoRR, 2019

2018
A Novel Sensor Fault Detection in an Unmanned Quadrotor Based on Adaptive Neural Observer.
J. Intell. Robotic Syst., 2018

A Deep Neural Network Approach for Early Diagnosis of Mild Cognitive Impairment Using Multiple Features.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Early Diagnosis of Mild Cognitive Impairment Using Random Forest Feature Selection.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017
Erratum to: 2D maneuverable robotic fish propelled by multiple ionic polymer-metal composite artificial fins.
Int. J. Intell. Robotics Appl., 2017

Adaptive Neural Network Based Fault Detection Design for Unmanned Quadrotor under Faults and Cyber Attacks.
Proceedings of the 25th International Conference on Systems Engineering, 2017

2016
A Machine Learning Approach for Fault Detection in Vehicular Cyber-Physical Systems.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016


  Loading...