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Analysis of an e-scooter and rider system dynamic response to curb traversing through physics-informed machine learning methods

Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering, 2023-06, Vol.237 (7), p.1555-1571

2023

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Optimization of radial inflow wind turbines for urban wind energy harvesting

Energy (Oxford), 2020-07, Vol.202, p.117772, Article 117772

2020

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Design and Stability Analysis of a Robust-Adaptive Sliding Mode Control Applied on a Robot Arm with Flexible Links

Vibration, 2022-03, Vol.5 (1), p.1-19

Uyulan, Çağlar

2022

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Modeling, simulation and re-adhesion control of an induction motor–based railway electric traction system

Proceedings of the Institution of Mechanical Engineers. Part I, Journal of systems and control engineering, 2018-01, Vol.232 (1), p.3-11

2018

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Classification of the Central Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) at Different Frequencies: A Deep Learning Approach Using Wavelet Packet Decomposition with an Entropy Estimator

Applied sciences, 2023-02, Vol.13 (4), p.2703

2023

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Stability and bifurcation analysis of the non-linear railway bogie dynamics

Proceedings of the Institution of Mechanical Engineers. Part C, Journal of mechanical engineering science, 2018-08, Vol.232 (16), p.2787-2802

2018

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EEG-induced Fear-type Emotion Classification Through Wavelet Packet Decomposition, Wavelet Entropy, and SVM

Hittite Journal of Science and Engineering, 2022-12, Vol.9 (4), p.241-251

2022

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Robust passivity-based nonlinear controller design for bilateral teleoperation system under variable time delay and variable load disturbance

Nonlinear engineering, 2024-01, Vol.13 (1), p.351-8

Uyulan, Caglar

2024

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Nonlinear Dynamic Characteristics of the Railway Vehicle

Nonlinear engineering, 2017-06, Vol.6 (2), p.123-137

2017

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Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

Clinical EEG and neuroscience, 2021-01, Vol.52 (1), p.38-51

2021

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The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data

Clinical EEG and neuroscience, 2024-03, Vol.55 (2), p.167

2024

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A robust-adaptive linearizing control method for sensorless high precision control of induction motor

Measurement and control (London), 2019-06, Vol.52 (5-6), p.634-656

Uyulan, Caglar

2019

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Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data

Clinical EEG and neuroscience, 2024-09, Vol.55 (5), p.543-552

2024

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Adaptive Slip&Slide Control System Design in Railway Applications

Advances in science & technology, research journal, 2018-03, Vol.12 (1), p.207-220

Uyulan, Çağlar

2018

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Adaptive Slip Slide Control System Design in Railway Applications

Advances in science & technology, research journal, 2018-03, Vol.12 (1), p.207-220

Çağlar Uyulan

2018

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A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data

Clinical EEG and neuroscience, 2023-03, Vol.54 (2), p.151-159

2023

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Development of a Stabilizing Adaptive Feedback Control System for Helicopter Gun Turrets

Havacılık ve uzay teknolojileri dergisi (Online), 2024-04, Vol.17 (Special Issue), p.135-159

2024

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Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules

Molecular imaging and radionuclide therapy, 2022-06, Vol.31 (2), p.82-88

2022

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Analysis of Time — Frequency EEG Feature Extraction Methods for Mental Task Classification

International journal of computational intelligence systems, 2017, Vol.10 (1), p.1280-1288

2017

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Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear

Nonlinear engineering, 2020-01, Vol.9 (1), p.124-144

2020

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Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning

Clinical EEG and neuroscience, 2022-01, Vol.53 (1), p.24-36

2022

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Investigating Bio-interface Effects of Chronic ELF-MF Exposure before and after Neonatal Life on Rat Offspring Using Spectroscopy and Biochemical Assays

Biointerface Research in Applied Chemistry, 2022-02, Vol.12 (1), p.795-808

2022

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Detection of EEG Patterns for Induced Fear Emotion State via EMOTIV EEG Testbench

Natural and engineering sciences, 2022-08, Vol.7 (2), p.148-168

2022

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Backstepping Control Design in Conjunction with an EKF-based Sensorless Field-Oriented Control of an IPMSM

Qeios, 2024-05

Uyulan, Caglar

2024

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A deep learning approach to evaluating sex differences in antidepressant response to neuromodulation using EEG in major depressive disorder

Brain stimulation, 2021-11, Vol.14 (6), p.1674-1674

2021

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Analysis of an e-scooter and rider system dynamic response to curb traversing through physics-informed machine learning methods

Optimization of radial inflow wind turbines for urban wind energy harvesting

Design and Stability Analysis of a Robust-Adaptive Sliding Mode Control Applied on a Robot Arm with Flexible Links

Modeling, simulation and re-adhesion control of an induction motor–based railway electric traction system

Classification of the Central Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) at Different Frequencies: A Deep Learning Approach Using Wavelet Packet Decomposition with an Entropy Estimator

Stability and bifurcation analysis of the non-linear railway bogie dynamics

EEG-induced Fear-type Emotion Classification Through Wavelet Packet Decomposition, Wavelet Entropy, and SVM

Robust passivity-based nonlinear controller design for bilateral teleoperation system under variable time delay and variable load disturbance

Nonlinear Dynamic Characteristics of the Railway Vehicle

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data

A robust-adaptive linearizing control method for sensorless high precision control of induction motor

Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data

Adaptive Slip&Slide Control System Design in Railway Applications

Adaptive Slip Slide Control System Design in Railway Applications

A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data

Development of a Stabilizing Adaptive Feedback Control System for Helicopter Gun Turrets

Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules

Analysis of Time — Frequency EEG Feature Extraction Methods for Mental Task Classification

Simulation and time-frequency analysis of the longitudinal train dynamics coupled with a nonlinear friction draft gear

Depression Diagnosis Modeling With Advanced Computational Methods: Frequency-Domain eMVAR and Deep Learning

Investigating Bio-interface Effects of Chronic ELF-MF Exposure before and after Neonatal Life on Rat Offspring Using Spectroscopy and Biochemical Assays

Detection of EEG Patterns for Induced Fear Emotion State via EMOTIV EEG Testbench

Backstepping Control Design in Conjunction with an EKF-based Sensorless Field-Oriented Control of an IPMSM

A deep learning approach to evaluating sex differences in antidepressant response to neuromodulation using EEG in major depressive disorder

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