Daghan Dogan

Orcid: 0000-0002-3512-3575

According to our database1, Daghan Dogan authored at least 11 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Skin Color-Based Frontal Face Detection and Gender Classification.
Proceedings of the 10th International Conference on Control, 2024

2022
Evaluation of Takeover Time Performance of Drivers in Partially Autonomous Vehicles Using a Wearable Sensor.
J. Sensors, 2022

Development and Testing of a Wearable Sensor based Driving Confidence Monitoring System for a Prototype Electric Vehicle.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

Design of an Experimentation Platform to study Take-over in Human Driver-Automated System Transition.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2020
An Experimental Study on Classification of Drivers Based on Confidence and Command of Driving.
Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020

2019
Smart Traction Control Systems for Electric Vehicles Using Acoustic Road-Type Estimation.
IEEE Trans. Intell. Veh., 2019

Performance Analysis of SVM, ANN and KNN Methods for Acoustic Road-Type Classification.
Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications, 2019

A Low-Cost Embedded Data Collection System for Traction Control Systems in Electric Vehicles.
Proceedings of the IEEE International Conference on Mechatronics, 2019

2017
Road-types classification using audio signal processing and SVM method.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

Optimum phase noise and acquisition time analysis for OFDM receiver structure with QPSK signaling.
Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2013
Intelligent traction control in electric vehicles using an acoustic approach for online estimation of road-tire friction.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013


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