Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Gurkan Kavuran"'
Autor:
Gurkan Kavuran, Celaleddin YEROGLU
Publikováno v:
Havacılık ve Uzay Teknolojileri Dergisi, Vol 11, Iss 2, Pp 35-48 (2018)
This paper presents a real time application for a prototype helicopter system by using sliding mode control strategy enhanced with small differential deviations. Experimental and simulation studies of the proposed controller demonstrate the control p
Externí odkaz:
https://doaj.org/article/67709e444bd74b628e7d41c48defe36f
Publikováno v:
Clinical Imaging
COVID-19PneumoniaArtificial intelligence (AI)Deep learningComputed tomography (CT) Purpose: The aim of this study was to establish and evaluate a fully automatic deep learning system for the diagnosis of COVID-19 using thoracic computed tomography (C
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0188527 (2017)
This study presents a model reference adaptive control scheme based on reference-shaping approach. The proposed adaptive control structure includes two optimizer processes that perform gradient descent optimization. The first process is the control o
Externí odkaz:
https://doaj.org/article/be30fa07f42a4166822bbe59a0558009
Fine-Tuning of Feedback Gain Control for Hover Quad Copter Rotors by Stochastic Optimization Methods
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 44:1663-1672
Three degree of freedom (3 DOF) Hover Quad Copter (HQC) platforms are implemented for various missions in diverse scales from the micro to macro platforms. As HQC platforms scale down, micro platform requires rather robust and effective control techn
Autor:
Sevilay Tufenkci, Baris Baykant Alagoz, Gurkan KAVURAN, Celaleddin Yeroglu, Norbert HERENCSAR, Shibendu MAHATA
Publikováno v:
SSRN Electronic Journal.
Autor:
Sevilay Tufenkci, Baris Baykant Alagoz, Gurkan Kavuran, Celaleddin Yeroglu, Norbert Herencsar, Shibendu Mahata
Publikováno v:
EXPERT SYSTEMS WITH APPLICATIONS. 2023, vol. 213,Part C, issue March 2023, p. 1-16.
To benefit from the advantages of Reinforcement Learning (RL) in industrial control applications, RL methods can be used for optimal tuning of the classical controllers based on the simulation scenarios of operating con-ditions. In this study, the Tw
Publikováno v:
Volume: 7, Issue: 3 276-285
Balkan Journal of Electrical and Computer Engineering
Balkan Journal of Electrical and Computer Engineering
This study demonstrates an application of multi-loop Model Reference Adaptive Control (MRAC) structure for enhancement of fault tolerance performance of closed-loop PID control systems. The presented multi-loop MRAC-PID control structure can be used
Publikováno v:
Measurement. 107:153-164
Digital systems are placed at the core of information technology and they are used extensively in electronics. The digital filter realization has become a central topic of signal processing studies. This paper presents a discrete IIR filter design me
Autor:
Gurkan Kavuran
Publikováno v:
Materials Today Communications. 27:102198
Materials Science is increasingly handling artificial intelligence methods to address the complexity in the field of everyday life necessities. Researchers in both academia and industry are interested in imaging techniques used in the characterizatio
Publikováno v:
International Journal of Dynamics and Control. 5:10-17
Pulse density modulation (PDM) can find applications in consumer electronics, power and switch control systems. PDM signals can be generated by asynchronous sigma delta modulator (ASDM) structures and improvement of ASDM performance provides signific