- Vibration and Dynamic Analysis
- Functional Brain Connectivity Studies
- IoT-based Smart Home Systems
- Structural Health Monitoring Techniques
- Sparse and Compressive Sensing Techniques
- Wireless Body Area Networks
- Neural Networks and Applications
- Terahertz technology and applications
- Random lasers and scattering media
- Geotechnical Engineering and Underground Structures
- Railway Engineering and Dynamics
- Advanced MRI Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- EEG and Brain-Computer Interfaces
- Image Processing Techniques and Applications
- Machine Fault Diagnosis Techniques
- Microwave Imaging and Scattering Analysis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- AI in cancer detection
- Gene expression and cancer classification
- ECG Monitoring and Analysis
- Blind Source Separation Techniques
- Control Systems and Identification
- Greenhouse Technology and Climate Control
Ankara Yıldırım Beyazıt University
2015-2025
Ankara University
2022
Sakarya University
2004-2010
University of Sussex
1996
In an electronic warfare environment, numerous radars operate, each designed with distinct signal waveforms tailored to fulfill specific missions. The deinterleaving of is a fundamental function system. Following deinterleaving, identifying the Pulse Repetition Interval (PRI) modulation type becomes essential for enhanced radar recognition and understanding its function. this study, new clustering rule-based method proposed deinterleave pulses recognize PRI modulations. Ordering Points...
This paper presents the implementation of broken rotor bar fault detection in an inverter-fed induction motor using current signal analysis (MCSA) and prognosis with fuzzy logic. Recently, motors have become very popular because their adjustable speed drive. They been used many vital control applications such as rolling mills, variable compressors, pumps, fans. The condition monitoring these can significantly reduce cost maintenance early faults. In this study, MCSA is applied to detect...
An area whose development has increased rapidly been the fields of information and communication technologies with developing technology in recent years. It always idea integrating traditionally into different fields. Electrical power systems is one these areas. The integration classical electrical revealed concept Smart Grids. desire people our age to reach they want smart devices much faster than past also effective this field. In today's world, real-time flow grids between suppliers...
Breast cancer is one of the greatest frequent tumours among females in Iraq. Medical ultrasound imaging has become a common modality for breast tumour because its ease use, low cost, and safety. In present study, Convolutional Neural Network (CNN) feature extraction approaches were used to classify imaging. The CNN model composed four-layer image analysis. Two types free datasets used. These data divided into groups A B. Group three classes, namely benign, malignant normal, while group B two...
This paper reports on work to detect the static eccentricity faults for permanent magnet synchronous motor (PMSM) using spectral analysis methods. Measurements are carried out by collecting stator current and voltage, torque speed healthy faulty cases of motor. Static case is formed changing rotor position in manner sliding shaft a horizontal axis. As result currents, side band effects appeared at around fundamental frequency determined as most important indicator eccentricity. In addition...
The complexity of raw functional magnetic resonance imaging (fMRI) data with artifacts leads to significant challenges in multioperations these data. FMRI analysis is extensively used neuroimaging fields, but the tools for processing fMRI are lacking. A novel APP DESIGNER conversion, preprocessing, and postprocessing (CPREPP fMRI) tool proposed developed this work. This toolbox intended pipeline analysis, including full data, starting from DICOM then checking quality at each step, ending...
Diabetes is a disease that affects more than 400 million people worldwide and currently lacks cure. Monitoring blood sugar levels crucial in minimizing the effects of this protecting against its complications. Invasive minimally invasive methods are commonly used traditional approaches for detecting monitoring levels. However, these bring along psychological infectious risks. Currently, efforts being made to develop non-invasive method determining Microwaves offer possibility glucose...
Optical coherence tomography (OCT) allows for direct and immediate imaging of the morphology retinal tissue. It has become a crucial modality diagnosing eye problems in ophthalmology. One most significant morphological characteristics retina is structure layers, which provides important evidence diagnostic purposes related to variety diseases. In this paper, convolutional neural network (CNN) model proposed that can identify difference between normal three common macular diseases: Diabetic...
Gürültü görüntü işleme tekniklerinin başarısını etkileyen en önemli faktörlerden biridir. Görüntü arttırabilmek için gürültünün azaltılması gerekmektedir. Gürültüyü azaltabilmek görüntülere filtreleme işlemi uygulanmaktadır. Sunulan bu çalışmada, görüntülerdeki karışık gürültüyü giderebilmek filtre tasarımı yapılmıştır. Görüntüye ilk olarak uyarlamalı medyan filtresi uygulanmış ve görüntüde tespit edilen tuz biber gürültüsünün giderilmesi amaçlanmıştır. Tuz gürültüsü bulunmayan piksellere...
The development of passive and active millimeter wave imaging systems is progressing rapidly fueled by the need for many applications in area security defense. Imaging schemes that may either utilize array detectors or single scan architectures offer suffer from poor resolution due to longer wavelengths used limits optical system terms lens mirror dimensions. In order overcome this limit, super-resolution techniques can be employed enhance system. Here, a form technique based on oversampling...
Compressed Sensing (CS) with Cyclic-S Hadamard matrix is proposed for single pixel imaging applications in this study. In scheme, N = r · c samples should be taken r×c image where denotes multiplication. CS a popular technique claiming that the sparse signals can reconstructed under Nyquist rate. Therefore to solve slow data acquisition problem Terahertz (THz) imaging, good candidate. However, changing mask each measurement challenging since there no commercial Spatial Light Modulators (SLM)...
Compressed sensing (CS) techniques allow for faster imaging when combined with scan architectures, which typically suffer from speed. This technique implemented a subterahertz (sub-THz) single detector system provides images whose resolution is only limited by the pixel size of pattern used to image plane. To overcome this limitation, target can be oversampled; however, results in slower rates especially if done two-dimensional across We show that implementing one-dimensional (1-D) plane,...
Abstract An electrocardiogram (ECG) is a noninvasive test, determining any defect in the heart rate or rhythm changes shape of QRS complex very significant to detect cardiac arrhythmia. In this study, novel web-ECG simulation tools were proposed using MATLAB Builder NE with WebFigure and ASP.NET platform. The consisted two components. First, involved analyses normal real ECG signals by calculating P, Q, R, S, T values detecting rate, while second part related extracting futures several types...