Zafer Cömert

Samsun University · Software Engineering

Electronic fetal monitoring (EFM) device which is used to record Fetal Heart Rate (FHR) and Uterine Contraction (UC) signals simultaneously is one of the significant tools in terms of the present obstetric clinical applications. In clinical practice, EFM traces are routinely evaluated with visual inspection by observers. For this reason, such a sub...

Cardiotocography is a monitoring technique providing important and vital information on fetal status during antepartum and intrapartum periods. The advances in modern obstetric practice allowed many robust and reliable machine learning techniques to be utilized in classifying fetal heart rate signals. The role of machine learning approaches in diag...

In the clinical practice, the fetal distress conditions such as hypoxia are detected routinely during antepartum and even intrapartum periods with the help of electronic fetal monitoring device, often called Cardiotocography (CTG). Due to the noticeable advances in signal processing, pattern recognition, machine learning techniques and the introduc...

This study proposes a new model relying on Empirical Mode Decomposition (EMD) and Discrete Wavelet Transform (DWT) in order to detect fetal hypoxia by using Cardiotocography (CTG) signals. We processed one well known open access intrapartum CTU-UHB database to find if our model could outperform the state-of-the art models. The model consists of thr...

The research interest in fetal heart rate (FHR) monitoring dates back to the 1960s, and the breakthrough on fetal surveillance has been seen during the 1990s with computerized systems. Notwithstanding the general use of cardiotocography (CTG) in fetal monitoring, the assessment of fetal well-being exhibits a significant inter- and even intraobserve...

Maize ( Zea mays L.) is an important cereal plant in the family of wheatgrass cultivated all over the world. With the increase in human population and environmental factors, the need for maize plants is increasing day by day. One of the efficient methods of increasing production of the maize is maize breeding. The most effective and rapid method fo...

Otitis media (OM), kulak zarı içerisinde oluşan akıntılı, enfeksiyonel hastalıkları tanımlamaktadır. Kulak mumu (earwax), kulak zarı içerisinde bakteri oluşumunu önleyen savunma mekanizmasının aşırı birikimi sonucunda kulakta işitme kaybı oluşmasına neden olan hastalıktır. Kulak zarı içerisinde kalsiyum birikimi sonucunda saydamlığını ve esnekliğin...

Otitis media (OM), known as inflammation of the middle ear, is a condition especially seen in children. To carry out a definitive diagnosis of the discomfort that manifests itself with various symptoms such as pain in the ear, fever, and discharge, the eardrum in the middle ear should be examined by a specialist. In this study, a convolution neural...

Alzheimer's disease (AD), which occurs as a result of the loss of cognitive functions in the brain, causes near-forgetfulness in the case and dementia in subsequent processes. Dataset consists of MR images containing four phases of AD. The dataset was re-enhanced separately with DeepDream, fuzzy color image enhancement, hypercolumn techniques. Visu...

Orta kulak inflamasyonu olarak bilinen otitis media rahatsızlığının teşhis edilmesi için otoskop cihazı ile zar bölgesine bakılarak karar verilmektedir. Dokusal özellik çıkarma algoritmaları, görüntüler üzerinde bölge tespiti ve görüntüye ait özelliklerin elde edilmesinde yaygın olarak kullanılmaktadır. Bu çalışmada gerekli yasal izinler alındıktan...

The transmission of weather information of a location at certain time intervals affects the living conditions of the people there directly or indirectly. According to weather information, people shape their behavior in daily life. Besides, agricultural activities are carried out according to the weather conditions. Considering the importance of thi...

Communication is the process of people transferring emotions, thoughts or information to the other party in various ways. One of the most effective ways of communication is language. Language is a communication tool that makes people's daily life easier and there are many hearing impaired people in our lives who cannot use this communication tool....

The Software-Defined Network (SDN) is a new network paradigm that promises more dynamic and efficiently manageable network architecture for new-generation networks. With its programmable central controller approach, network operators can easily manage and control the whole network. However, at the same time, due to its centralized structure, it is...

Context The interpretations of cardiotocography (CTG) tracings are indeed vital to monitor fetal well-being both during pregnancy and childbirth. Currently, many studies are focusing on feature extraction and CTG classification using computer vision approach in determining the most accurate diagnosis as well as monitoring the fetal well-being durin...

Context. The interpretations of cardiotocography (CTG) tracings are indeed vital to monitor fetal well-being both during pregnancy and childbirth. Currently, many studies are focusing on feature extraction and CTG classification using computer vision approach in determining the most accurate diagnosis as well as monitoring the fetal well-being duri...

Coronavirus (COVID-19) is a pandemic, which caused suddenly unexplained pneumonia cases and caused a devastating effect on global public health. Computerized tomography (CT) is one of the most effective tools for COVID-19 screening. Since some specific patterns such as bilateral, peripheral, and basal predominant ground-glass opacity, multifocal pa...

Melanocytes are skin cells that give color to the skin and form melanin color pigments. The unbalanced division and proliferation of these cells result in skin cancer. The early diagnosis and proper treatment of skin cancer are so important. In this scope, a novel model that relies upon the autoencoder, spiking, and convolutional neural networks is...

Background Otitis media (OM) is the infection and inflammation of the mucous membrane covering the Eustachian with the airy cavities of the middle ear and temporal bone. OM is also one of the most common ailments. In clinical practice, the diagnosis of OM is carried out by visual inspection of otoscope images. This vulnerable process is subjective...

Brain cancer is a disease caused by the growth of abnormal aggressive cells in the brain outside of normal cells. Symptoms and diagnosis of brain cancer cases are producing more accurate results day by day in parallel with the development of technological opportunities. In this study, a deep learning model called BrainMRNet which is developed for m...

White blood cells are cells in the blood and lymph tissue produced by the bone marrow in the human body. White blood cells are an important part of the immune system. The most important task of these cells is to protect the human body against foreign invaders and infectious diseases. When the number of white blood cells in the blood is not enough f...

Cardiotocography (CTG) is a screening tool used in daily obstetric practice to determine fetal wellbeing. Its interpretation is generally performed visually by the field experts, and this visual inspection is an error-prone and subjective process. In addition, it leads to several drawbacks, such as variability among the observers and low reproducib...

Due to inflammation of the middle ear, various deformations occur in the eardrum. In order to diagnose the disease, it is necessary to examine the tympanic membrane in detail with an otoscope. In recent years, deep learning has been applied in many areas including biomedical field and very effective results have been achieved. Deep learning based m...

For high-frequency digital signals to be transmitted over long distances, the basic digital signal needs to be modulated with a high-frequency carrier. In this case, the baseband digital signal is called the passband signal. In particular, in wireless communication systems or ultraviolet or infrared communications, transitional band digital modulat...

The electrocardiogram (ECG) is a useful method which enables the monitoring of various cardiac conditions, such as arrhythmia and heart rate variability (HRV). ECG beats help to determine various heart failures such as cardiac disease and ventricular tachyarrhythmia. In the literature, it can be seen that various advanced signal processing and mach...

Physical action recognition is a hot topic in human-machine interactions. It has potential uses in helping disabled people and in various robotic applications. Electromyography (EMG) signals measure the electrical activity of the muscular systems involved in physical actions. In this chapter, an efficient approach is developed for physical action r...

A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly throughout the world, was declared as coronavirus disease 2019 (COVID-19). Thousands of people have lost their lives to this disease. Its negative effects on public health are ongoing. In this study, an intelligence computer-aided model that can automatically dete...

Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes pneumonia in humans. Artificial intelligence models have been helpful for successful analyses in the biomedical field. In this study, Coronavirus was detected using a deep learning model, which is a...

Middle ear inflammation is known as the accumulation of fluid behind the eardrum. Chronic middle ear inflammation, which is characterized by the failure to respond to long-term treatment and perforation of the eardrum, is a serious condition that can even cause hearing loss. In this study, 598 normal middle ear images obtained from the volunteer pa...

It is important for the sensitivity of ecological balance that image processing methods and techniques give better results day by day. Today, researchers use deep learning in image-based object recognition. Recently, the use of deep learning methods on plant species has increased. In this study, a hybrid method that is used together with feature se...

Otitis media (OM) is a term used to describe the inflammation of the middle ear. The clinical inspection of the tympanic membrane is conducted visually by experts. Visual inspection leads to limited variability among the observers and includes human-induced errors. In this study, we sought to solve these problems using a novel diagnostic model base...

A proper and certain brain tumor MRI classification has a significant role in current clinical diagnosis, decision making as well as managing the treatment programs. In clinical practice, the examination is performed visually by the specialists, this is a labor-intensive and error-prone process. Therefore, the computer-based systems are in demand s...

Recent studies have shown that convolutional neural networks (CNNs) can be more accurate, efficient and even deeper on their training if they include direct connections from the layers close to the input to those close to the output in order to transfer activation maps. Through this observation, this study introduces a new CNN model, namely Densely...

Otitis media (OM) is a medical concept representing a range of inflammatory middle ear disorders. OM is one of the most common diseases worldwide, especially in childhood. In clinical practice, the diagnosis of OM is carried out by examining the images of the middle ear obtained via the otoscope device by specialists. The subjective examination lea...

A brain tumor is a mass that grows unevenly in the brain and directly affects human life. This mass occurs spontaneously because of the tissues surrounding the brain or the skull. Surgical methods are generally preferred for the treatment of the brain tumor. Recently, models of deep learning in the diagnosis and treatment of diseases in the biomedi...

Unless adequate measures are taken for waste litter, the ecological balance may deteriorate over time. The wastes disposed of the trash can be divided into two classes that are organic and recycling types. In recent years, artificial intelligence is frequently mentioned in all areas of technology. In this study, the dataset used for the classificat...

Otitis media (OM) refers to a group of inflammatory diseases regarding the middle ear. Although there are a wide variety of disease types regarding OM, the most commonly seen disorders are acute otitis media (AOM), otitis media with effusion (OME) and chronic suppurative otitis media (CSOM). The examination of OM in the clinics is realized subjecti...

Pneumonia is one of the diseases that people may encounter in any period of their lives. Approximately 18% of infectious diseases are caused by pneumonia. This disease may result in death in the following stages. In order to diagnose pneumonia as a medical condition, lung X-ray images are routinely examined by the field experts in the clinical prac...

Invasive ductal carcinoma cancer, which invades the breast tissues by destroying the milk channels, is the most common type of breast cancer in women. Approximately, 80% of breast cancer patients have invasive ductal carcinoma and roughly 66.6% of these patients are older than 55 years. This situation points out a powerful relationship between the...

Breast cancer is one of the most commonly diagnosed cancer types in the woman and automatically classifying breast cancer histopathological images is an important task in computer-assisted pathology analysis. Statistics indicate that the breast cancer rate is about 12% in all cancer cases in the world. Also, approximately 25% of women have breast c...

Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes pneumonia in humans. Artificial intelligence models have been helpful for successful analyses in the biomedical field. In this study, Coronavirus was detected using a deep learning model, which is a...

In this study, a novel digital modulation classification model has been proposed for automatically recognizing six different modulation types including amplitude shift keying (ASK), frequency shift keying (FSK), phase-shift keying (PSK), quadrate amplitude shift keying (QASK), quadrate frequency shift keying (QFSK), and quadrate phase-shift keying...

Introduction Cardiotocography (CTG) consists of two biophysical signals that are fetal heart rate (FHR) and uterine contraction (UC). In this research area, the computerized systems are usually utilized to provide more objective and repeatable results. Materials and Methods Feature selection algorithms are of great importance regarding the compute...

Maize is one of the most significant grains cultivated all over the world. Doubled-haploid is an important technique in terms of advanced maize breeding, modern crop improvement and genetic programs, since this technique shortens the breeding period and increases breeding efficiency. However, the selection of the haploid seeds is a major problem of...

Objectives: Cardiotocography (CTG) is a useful tool for monitoring of the fetal heart rate (FHR) and uterine contractions (UC) during the intrauterine life. Generally, CTG is provided on a printed paper which is hard to save for future evaluations. So, digitization of CTG signals is in demand for future evaluations. A straightforward approach for d...

Background: Electronic fetal monitoring (EFM) is widely applied as a routine diagnostic tool by clinicians using fetal heart rate (FHR) signals to prevent fetal hypoxia. However, visual interpretation of the FHR usually leads to significant inter-observer and intra-observer variability, and false positives become the main cause of unnecessary cesar...

Doubled haploid (DH) technique is used effectively in maize breeding. This technique is superior to conventional maize breeding in terms of both time and homozygosity. One of the important processes in DH technique is the selection of haploid seeds. The most common method for selecting haploids is the R1-nj (Navajo) color marker. This color marker...

Cardiotocography (CTG) is a fetal monitoring technique and it constitutes two distinct simultaneously recorded biophysical signals which are fetal heart rate (FHR) and uterine contractions (UC). In clinical practice, CTG traces are interpreted visually by obstetricians and midwives, and such a visual examination leads to an increase in disagreement...

Cardiotocography (CTG) is applied routinely for fetal monitoring during the perinatal period to decrease the rates of neonatal mortality and morbidity as well as unnecessary interventions. The analysis of CTG traces has become an indispensable part of present clinical practices; however, it also has serious drawbacks, such as poor specificity and v...

Distance education is a completely different way of learning, separated from traditional face-to-face education, independent of time and place. The journey of distance education that started with communication tools such as letters, radio, and television continues to evolve based on the use of web-based technologies such as social media and learnin...

Cardiotocography (CTG) comprises fetal heart rate (FHR) and uterine contraction (UC) signals that are simultaneously recorded. In clinical practice, a visual examination is subjectively performed by observers depending on the guidelines to evaluate CTG traces. Owing to this visual assessment, the variability in the interpretation of CTG between int...

In this study, considering daily average flow data for 20 years of Kotum stream in Tatvan country of Bitlis in Turkey, a model based on wavelet transform and Artificial Neural Networks (ANN) was proposed to estimate daily average flows of the stream for future. For this purpose, firstly daily average flows of the stream between 1997 and 2016 were p...

Cardiotocography (CTG) that contains fetal heart rate (FHR) and uterine contraction (UC) signals is a monitoring technique. During the last decades, FHR signals have been classified as normal, suspicious, and pathological using machine learning techniques. As a classifier, artificial neural network (ANN) is notable due to its powerful capabilities....

Electrocardiography (ECG) is a useful test used commonly to observe the electrical activity of a heart. Recently, a growing relationship has been observed between diagnosis of a disease and using of machine learning techniques. In this scope, a diagnostic application model designed based on a combination of Recursive Feature Eliminator (RFE) and tw...

Distance education is a completely different way of learning, separated from traditional face-to-face education, independent of time and place. The journey of distance education that started with communication tools such as letters, radio, and television continues to evolve based on the use of web-based technologies such as social media and learnin...

Fetal heart rate (FHR) has notable patterns for the assessment of fetal physiology and typical stress conditions. FHR signals are obtained using cardiotocography (CTG) devices also providing uterine activities simultaneously and fetal movements. In this study, a total of 88 records consisting of 44 normal and 44 hypoxic fetuses instances obtained f...

As a fetal surveillance technique, cardiotocography (CTG) involves fetal heart rate (FHR), uterine contraction activities, and fetal movements. CTG is practiced as a primary diagnostic test throughout the world to identify events that may pose a risk to the fetus during pregnancy and delivery. In this work, FHR signals carrying vital information on...

Cardiotocography (CTG) is a fetal monitoring technique used to determine the distress level of the fetus during pregnancy and delivery. CTG consists of two different signals including fetal heart rate (FHR) and uterine contraction (UC) activities. The linear features of FHR are the most powerful prognostic indices to ascertain whether the fetus in...

Cardiotocography is a monitoring technique which provides revealing important and vital information about fetal status during the antepartum and intrapartum periods. Due to advances in modern obstetric practice, many robust and reliable machine learning techniques have been utilized to classify fetal heart rate patterns. The role of machine learnin...

In biomedical signal applications, cardiotocography is crucial because it contains fetal heart rate patterns which offer significant and vital signs about the fetal condition. Over the last decades, fetal heart rate patterns are classified as normal, suspicious, and pathological. As a classifier, artificial neural network is notable due to its powe...

Cardiotocography (CTG) is a monitoring technique used routinely during the pregnancy and labor and including the analysis of fetal heart rates and movements with uterine contractions. The fact that CTG signals are interpreted by experts generally with eye and CTG has high false positive rate results in intra-and inter-observer conflicts and causes...

Cardiotocography (CTG) is a monitoring technique that is used routinely during pregnancy and labor to assess fetal well-being. CTG consists of two signals which are fetal heart rate (FHR) and uterine contraction (UC). Twenty-one features representing the characteristic of FHR have been used in this work. The features are obtained from a large datas...

Kalite yönetimi, en genel ifade ile bir kuruluşta gerçekleşen iş akış süreçlerinin, hizmet anlayışı ve standartlarının sürekli bir döngü içerisinde iyileştirilmesi ve hizmet verilen kitlede memnuniyet oluşturulması amacıyla yürütülen sistematik çalışmaların bütünüdür. Bu çalışmada, Bitlis Eren Üniversitesi’nde ISO 9001 kalite çalışmaları kapsamında...

Electrocardiography is widely used for diagnosis and assessment of cardiovascular diseases. Heart rate is a major determinant of ventricular action potential. Therefore, the QT interval varies to be inversely proportional to heart rate. The need of the calculation and correction of the QT interval arises from this situation. In this study, syntheti...

Electrocardiography is widely used for diagnosis and assessment of cardiovascular diseases. Heart rate is a major determinant of ventricular action potential. Therefore, the QT interval varies to be inversely proportional to heart rate. The need of the calculation and correction of the QT interval arises from this situation. In this study, syntheti...

Personel Bilgi Sistemi (PBS), üniversite personellerinin web ortamında kendilerine ait bir alan adı üzerinden modüler bir yapı ile bilgi paylaşmasını sağlayan ve personel ile site ziyaretçileri arasındaki iletişimi ve etkileşimi arttıran web tabanlı bir otomasyondur. PBS, güncel web teknolojileri ve nesne yönelimli programlama teknikleri kullanılar...

The purpose of this study was to investigate the effectiveness of an online automated evaluation and feedback system that assessed students' word processing assignments prepared with Microsoft Office Word. The participants of the study were 119 undergraduate teacher education students, 86 of whom were female and 32 were male, enrolled in different...

Many media and process becomes an electronic dimension in today’s government policies. Concept of electronic government as a new configuration of these dimensions also contains the education concept. E-government applications constitute the education concept in itself as an electronic education. Education platform in e-government system provides to...

Öğrenme Yönetim Sistemleri (ÖYS), içerik yönetim sisteminin eğitime uyarlanması sonucu ortaya çıkmıştır. ÖYS’ler adından da anlaşılacağı üzere bir yönetim aracıdır ve eğitim içeriklerinin yönetimine, öğrenenler ve öğretenlerin izlenmesine, öğrenme-öğretme süreçlerinin bireyselleştirilebilmesine olanak sağlayan bütünleşik sistemlerdir. Bu çalışmada,...

Bu makale, öğrenme nesnelerinin sınıflandırılmasını sağlamak ve arama sonuçlarına uygun öğrenme nesnelerinin bulunmasını kolaylaştırmak için geliştirilen semantik web tabanlı bir yazılımın, insan bilgisayar etkileşimi tasarım prensiplerine göre geliştirilmesi ve çalışma süreci üzerine odaklanmaktadır.

Nowadays, education environments have two forms. These are traditional and virtual education environments. In both environments, one of the important problems is habit analysis and evaluation. In traditional education systems, habit analysis is done easily through observation techniques, whereas in virtual ones analyzing students' attitudes and hab...

Traditional assessment approaches are still being used in distance education environments. Positive changes have been experienced on dimensions of user, management and teacher in distance education systems at each passing day. In addition to these positive changes, new approaches to be used at the evaluation of distance education are emerging. Each...