Ramazan Tekin

• Ph.D.
• Professor (Associate) at Batman University

In our digitalized world, the need for reliable authentication methods is steadily increasing. Biometric authentication methods are divided into two main categories: physiological and behavioral. While physiological biometrics include features such as face, iris, and fingerprint, behavioral biometrics encompass dynamics such as gait, speech, and si...

This paper focuses on an artificial intelligence based worn tire detection system proposed to detect cracks in the tires of vehicle drivers. Although drivers are generally aware of the importance of tire tread depth and air pressure, they are not aware of the risks associated with tire oxidation. However, tire oxidation and cracks can cause signifi...

There are billions of virus species worldwide, and viruses, the smallest parasitic entities, pose a serious threat. Therefore, fighting associated disorders requires an understanding of the genetic structure of viruses. Considering the wide diversity and rapid evolution of viruses, there is a critical need to quickly and accurately classify viral s...

COVID-19, which has been declared a pandemic disease, has affected the lives of millions of people and caused a major epidemic. Despite the development of vaccines and vaccination to prevent the transmission of the disease, COVID-19 case rates fluctuate worldwide. Therefore, rapid and reliable diagnosis of COVID-19 disease is of critical importance...

There are several types of nerve cells in the central nervous system. Thanks to the synaptic connections, these cells form large and complicated networks. However, these cells have a stereotypical electrical activity called action potential (AP) or spike. In this work, the mechanisms of formation of this typical electrical signal and the methods of...

Compressive strength and ultrasonic pulse velocity (UPV) are two of the most preferred technics for determining both mechanical properties and microstructural characteristics of cement-based materials. Since the most important mechanical property of concrete compared to many other properties is its compressive strength, it is of great importance to...

The act of speaking takes place as a result of the joint use of both the senses of vision and hearing. The visual senses of the event of speech play an important role in lip-reading, especially when the sound is distorted or inaccessible. Visual-only-based lip-reading is a more difficult problem than audio-image-based lip-reading problems. In this...

Bu buluş; petrol kuyularındaki ekipmanlarda oluşan olası mekanik ve elektrik arızalarının uzaktan tespiti için yapay zeka tabanlı otomasyon sistemi ile ilgilidir. Arızaların görsel olarak kontrol edilerek tespit edilmesi ve arıza ekiplerince arıza türlerinin ayrıştırılmasına alternatif sensör sinyallerinin işlenerek yapay zeka ile arıza ve önsel ar...

Electrocardiogram (ECG) is widely used as a diagnostic method to identify various heart diseases such as heart failure, cardiac and sinus rhythms. The ECG signal analyzes the electrical activity of the heart and shows waveforms that help detect heart irregularities. A new approach is suggested for automatic identification of Congestive Heart Failur...

In recent years, it has been observed that many researchers have been working on different areas of detection, recognition and monitoring of human activities. The automatic determination of human physical activities is often referred to as human activity recognition (HAR). One of the most important technology that detects and tracks the activity of...

Language Identification in text mining is the process of detecting the natural language in which a document or part of it is written. Language identification aims to mimic a human's ability to recognize certain languages by computer algorithms. In this study, a new language identification approach using the angle information between the UTF-8 value...

Metin madenciliğinde dil tanıma (DT), bir belgenin veya bir kısmının yazıldığı doğal dili algılama çalışmasıdır. Bu çalışmada, karakterlerin UTF-8 değerleri arasında kalan açı bilgisini kullanan metinden yeni bir dil tanıma yaklaşımı önerilmiştir. Önerilen açı yöntemi metinlerden öznitelik çıkarımı için kullanılmıştır. Açı örüntüler yöntemi istatis...

Parkinson's disease (PD) is a neurological disease that progresses further over time. Individuals suffering from this condition have a deficiency of dopamine, a neurotransmitter found in the brain's nerve cells that is critical for coordinating body movement. In this study, a new approach is proposed for the diagnosis of PD. Common Average Referenc...

The short- and long-term forecasting of the grid electrical energy of a province or region is important for the management of the conventional electricity transmission and distribution network. Nowadays, the amount of electrical energy, which each residential building has taken from the grid, has gained importance within the scope of smart grids. R...

Hydrokinetic turbines are electromechanical devices, which convert the kinetic energy of freely flowing water into electricity without accumulating water. Turbine blades are generated by optimally combining one or more types of blade sections. The performance of blade sections is quite important directly affecting the power coefficient of the rotor...

In this paper, four novel, simple and robust approaches, which are left to right local binary patterns (LBPLL2R), top to down local binary patterns (LBPT2D), cube surface local binary pattern (LBPSurfaces), and cube diagonal local binary pattern (LBPDiagonal), were proposed in order to exact texture features in color images. These approaches were b...

Epilepsi en sık karşılaşılan nörolojik hastalıklardan biri olup beyinde bir grup nöronun anormal aktivitesi sonucu oluşmaktadır. Epilepsi genellikle elektroansefalografi (EEG) sinyalleri kullanılarak teşhis edilmektedir. Bu sebeple, EEG işaretlerinden etkin özniteliklerin çıkarılması doğru sınıflandırma için önemli bir basamaktır. Bu çalışmada epil...

Physiological rhythms play a critical role in the functional development of living beings. Many biological functions are executed with an interaction of rhythms produced by internal characteristics of scores of cells. While synchronized oscillations may be associated with normal brain functions, anomalies in these oscillations may cause or relate t...

Brain generates electrical waveforms, which characterizes different condition and behaviors. The structure and intra-harmony of simultaneously emergence of these characteristic waves in various regions of brain are entirely linked to brain functions. It has been reported that, in case of the characteristic structure and/or the harmony would detonat...

Subthreshold spike activities have a critical importance in synchronization of neuronal activity. In nonlinear systems, low level signals, depending on topologic structure and noise level, can increase the activity of the systems. Whether similar effects are valid for normal brain function or not is an important question need to be addressed. So, t...

The Parkinson's disease (PD) is one of the most common diseases, especially in elderly people. Although the previous studies showed that the PD can be diagnosed by expert systems through its cardinal symptoms such as the tremor, muscular rigidity, disorders of movements and voice, it was reported that the presented approaches, which utilize simple...

Language identification, which is a major task in natural language processing, is the process of determining the language from a given content. Generally, unique letter combination, short word, N-gram, and ASCII or Unicode vector of character sequences were employed for text-based language identification (TLI). Although, these methods show high acc...

Feature extraction plays a major role in the pattern recognition process, and this paper presents a novel feature extraction approach, adaptive local binary pattern (aLBP). aLBP is built on the local binary pattern (LBP), which is an image processing method, and one-dimensional local binary pattern (1D-LBP). In LBP, each pixel is compared with its...

Otomatik dil tanıma (DT) doğal dil işlemenin önemli alt konularından biridir. DT, bir dokümanın içeriğine göre yazıldığı dili belirleme işlemidir. Bu çalışmada, karakterlerin UTF-8 değerlerini birbirleri ile karşılaştırmalar sonucu elde edilen ikili örüntüler kullanarak yeni bir dil tanıma yaklaşımı, bir boyutlu yerel ikili örüntüler (1BYİÖ) öneril...

Butterflies can be classified by their external morphological characters. Carpological or molecular studies are required when identification with these characters is impossible. For butterflies and moths, analysis of genital characters is also important. However, genital characters that can be obtained using various chemical substances and methods...

Butterflies can be classified by their outer morphological qualities, genital characters that can be obtained using various chemical substances and methods, which are carried out manually by preparing genital slides through some certain processes or molecular techniques. The aim of this study is to evaluate a computer vision and machine learning sy...

Butterflies can be classified according to their outer morphological qualities if it is possible, but sometimes it is required to analyze their genital characters by using various chemical substances and methods which can only be carried out with some certain expenses. Furthermore, preparation of genital slides is time-consuming since it requires s...

RST (rough set theory) is a data mining technique that can deal with data which has uncertainties and missing values. RST, which has already been successfully applied in a various science field, can reduce the size of databases and generate decision rules from the databases. However, it has never been applied in modeling e-mail usage habits. In t...

Recent developments in electronic communication, which is one of the crucial communication tools owing to wide spreading internet technologies, heightened the requirements for a solution of the problem of circulation of unsolicited bulk messages on the internet, which is referred to as Spam. In this study, ELM (extreme learning machine), which is...

In this paper, an effective approach for the feature extraction of raw Electroencephalogram (EEG) signals by means of one-dimensional local binary pattern (1D-LBP) was presented. For the importance of making the right decision, the proposed method was performed to be able to get better features of the EEG signals. The proposed method was consisted...

In this study, a new approach for estimation of Obstructive Sleep Apnea Syndrome (OSAS) was proposed. OSAS is a sleep disorder that affects the life comfortability in human life. Up to now, the OSAS was diagnosed by Polysomnography (PSG) device by connected to the patients via electrodes. This device is expensive and restricted in the clinics. Sinc...

In this study, we present an application of extreme learning machine (ELM) and image processing techniques for identifying butterfly species as an alternative to conventional diagnostic methods. This paper evaluates the capability of butterfly species classification by using texture features of butterfly images. Two texture descriptors such as grey...

Action potentials (APs) in the form of very short pulses arise when the cell is excited by any internal or external stimulus exceeding the critical threshold of the membrane. During AP generation, the membrane potential completes its natural cycle through typical phases that can be formatted by ion channels, gates and ion concentrations, as well as...

Karakteristik denklemi interval (aralık) tipi olan sistemlerin dayanıklı kararlılık analizinde yaygın olarak Kharitonov metodu kullanılmaktadır. Hiper-dikdörtgenlerle temsil edilen interval polinoma ait köşe noktaları Kharitonov polinomları ile bulunmaktadır. Daha sonra elde edilen köşe polinomlarının Hurwitz kuralına uymasına bağlı olarak dayanıkl...

From disease detection to action assessment EMG signals are used variety of field. Miscellaneous studies have been conducted toward analysis of EMG signals. In this study some statistical features of signal were derived, the best evocative features were selected via Linear Discriminant Analysis (LDA) and feature vectors were constructed. This analy...

Depending on the complex interconnection of billions of neurons forming cortical network excitation times and the emergence of action potentials or spike trains becomes complex and irregular. The effect of various parameters such as synaptic connections, conductivity and voltage dependent channels on the output of the network has become of research...

Butterflies are classified first according to their outer morphological qualities. It is required to analyze their genital characters when classification according to their outer morphological qualities is not possible. The genital characters of butterflies can be obtained using various chemical substances and methods; however, these processes can...

The development of computer technology has increased the use of intel¬ligent systems in many areas of human life. One of these areas is automatically and correctly identification of the alphanumeric characters and patterns as well as selec¬tion of the desired objects. Benefiting from the partial characteristics of patterns and previously stored cha...

Independent Component Analysis (ICA) is a statistical method used for separating nongaussian independent components of a mixture signal. In this study, by separating the signal into its possible independent components, the simplification and comprehension of analysis of EEG signals was aimed. Through such an analysis it was thought that early diagn...

Hodgkin-Huxley (HH) neuron model has an important place in theoretical neuroscience. In the study, on the basis of HH neuron model, the effects of ionic sodium and potassium concentrations as well as the effect of excitation current density on AP were investigated. It was found that while sodium concentration predominantly affects the amplitude of...

The genetic algorithm (GA) is an optimization and search technique based on the principles of genetics and natural selection. A GA allows a population composed of many individuals to evolve under specified selection rules to a state that maximizes the "fitness" function. In that process, crossover operator plays an important role. To comprehend the...