Orhan Er

• Professor
• Akademician at İzmir Bakırçay University

In situations where hazards and risks cannot be eliminated or prevented, using Personal Protective Equipment (PPE) at the right time and in the right way is critical for the health and safety of workers. Therefore, identifying and monitoring PPE use in the workplace is critical. Recently, advancements in object detection have shown promise in i...

The development of technology has created the need to increase the quality of life of individuals all over the world. This need for development has initiated the transformation of the 'smart campus' in university campuses called small cities. A transformation that started with digitalization has led universities to use digital technologies in their...

Determining oocyte quality is crucial for successful fertilization and embryonic development, and there is a serious correlation between live birth rates and oocyte quality. Parameters such as the regular/irregular formation of the cumulus cell layer around the oocyte, the number of cumulus cell layers and the homogeneity of the appearance of the o...

As small cities, universities possess numerous chances for the application of the smart city concept to raise service quality and use human resources efficiently. Without digital transformation, creating a smart campus is not possible. Therefore, digital transformation can be regarded as the first step of a smart campus. Digital transformation in a...

Caudal epidural anaesthesia is usually the most well-known technique in obstetrics to deal with chronic back pain. Due to variations in the shape and size of the sacral hiatus (SH), its classification is a crucial and challenging task. Clinically, it is required in trauma, where surgeons must make fast and correct selections. Past studies have focu...

Bu çalışmada, Bölgesel Tabanlı Evrişimli Sinir Ağları (R-CNN) ile araç plaka lokasyonu belirleme ve belirlenen lokasyon içerisinden plaka okuma işlemi gerçekleştirilmiştir. İki aşamadan oluşan çalışmanın ilk aşamasında giriş görüntüleri üzerinden plaka lokasyonları R-CNN ile belirlenirken ikinci aşamada geleneksel görüntü işleme teknikleri ile beli...

As small cities, universities possess numerous chances for the application of the smart city concept to raise service quality and use human resources efficiently. Without digital transformation, creating a smart campus is not possible. Therefore, digital transformation can be regarded as the first step of a smart campus. Digital transformation in a...

Objective New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence in Health, themed "Artificial Intelligence in Health During COVID-19 Pandemic Process" organized online by İzmir...

Bu çalışmada wifi (wireless) sinyalleri kullanarak, kamera monte edilmiş mobil bir helikopterin uzaktan kontrolü gerçekleştirilmektedir. Uzaktan gönderilen sinyallerle, düşey ve yatay eksende step motor kontrolü ile kamera yönlendirilmiş ve alınan görüntüler gerçek zamanlı olarak bilgisayar ekranından izlenmektedir. Böylece helikopterin kontrolü do...

Churn studies have been used for many years to increase profitability as well as to make customer-company relations sustainable. Ordinary artificial neural network (ANN) and convolution neural network (CNN) are widely used in churn analysis due to their ability to process large amounts of customer data. In this study, an ANN and a CNN model are pro...

Cardiovascular diseases cause approximately 17 million deaths each year and 31% of deaths worldwide. These diseases generally occur as myocardial infarction and heart failure. The survival status, which we used as a target in our classification study, indicates that the patient died or survived before the end of the follow-up period, which is a mea...

COVID-19 disease has been the most important disease recently and has affected serious number of people in the world. There is not proven treatment method yet and early diagnosis of COVID-19 is crucial to prevent spread of the disease. Laboratory data can be easily accessed in about 15 minutes, and cheaper than the cost of other COVID-19 detection...

Breast cancer is a malignant tumor that has developed from cells of the breast. Breast cancer is one of the most fatal diseases in the world and a relatively common cancer in Turkey. Breast cancer diagnosis has been approached by various machine learning techniques for many years. In this study, two different probabilistic neural network (PNN) stru...

Internet of things and Drones are two new promising innovative technologies that are inevitable in the internet era. These technologies provide modern solutions for many fields. One of these fields is agriculture. Agriculture plays a pivot role for humankind because more than half of the World’s population depends on agriculture. In this study inte...

Obtaining the dataset required to classify each stage in the histologically staging problem of Hepatitis C, a liver disease caused by the blood-borne Hepatitis C virus (HCV), is quite difficult as it is in other health problems. In this study, the class imbalance problem that occurs in a sample Hepatitis C disease data has been addressed, and the e...

Android malware detection is a critical and important problem that must be solved for a widely used operating system. Conventional machine learning techniques first extract some features from applications, then create classifiers to distinguish between malicious and benign applications. Most of the studies available today ignore the weighting of...

The meniscus has a significant function in human anatomy, and Magnetic Resonance Imaging (MRI) has an essential role in meniscus examination. Due to a variety of MRI data, it is excessively difficult to segment the meniscus with image processing methods. An MRI data sequence contains multiple images, and the region features we are looking for may v...

Osteoporoz, vücudumuzdaki kemiklerin sertliklerinin azalıp, kalitelerinin bozulması sonucunda daha zayıf ve kırılabilir hale gelmeleri ile ortaya çıkan ve tüm iskeletimizi etkileyen sistemik bir hastalıktır. Bu çalışmada, bir iskelet hastalığı olan osteoporozun ön tanısında kullanılan X-ray absorbsiyometri (DEXA) testinin radyasyon dezavantajı sebe...

Günümüzde birçok araç otonom olarak kontrol edilmek istenmektedir. Bu çalışmaların en önemli uygulama alanlarının başında askeri ve sağlık alanları olması münasebeti öncelik arz etmektedir. Bunun amaç için simülasyon ortamlarının geliştirilmesi hem zaman hem de ekonomik olarak daha elverişli araçlar ve imkanlar sunmaktadır. Buradan hareketle gelişt...

Tuberculosis is an infectious disease caused by a bacillus called Mycobacterium tuberculosis. It can lead to death in untreated and inappropriately treated patients particularly in countries with low income. Therefore, early diagnosis of the disease not only increases treatment success, but also reduces death rates. Today, due to high classificatio...

In this work, natural dyes extracted from the same genus but different species flowers were used as sensitizer in Dye Sensitized Solar Cell (DSSC). To clearly show dye ingredients effect on electrical characteristics, the same genus flowers were selected. The dye ingredients were analyzed by Gas Chromatography Mass Spectrometer (GC-MS). The dyes we...

Surface electromyography is often used in the control of some devices, especially in the control of the prostheses. In this work, surface electromyography (EMG) is used to perform the function of a drone’s remote control joystick. To design a wearable joystick and select the best classification algorithm, the system first learns thumb finger moveme...

Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive prostheses of paralyzed or injured people. Methods:Filtering a biological signal is the key point for these typ...

Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive prostheses of paralyzed or injured people. Methods:Filtering a biological signal is the key point for these typ...

Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive prostheses of paralyzed or injured people. Methods:Filtering a biological signal is the key point for these typ...

Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive prostheses of paralyzed or injured people. Methods:Filtering a biological signal is the key point for these typ...

In this paper, different types of classification methods are compared for effective diagnosis of Parkinson's diseases. These methods are artificial immune system, feed forward, learning vector quantization and probabilistic neural network algorithms. Total 197 Parkinson's data which consists of 22 features is used in this study. The 10-fold cross-v...

Clinical decision support systems (C-DSS) provide supportive tools to the expert for the determination of the disease. Today, many of the support systems, which have been developed for a better and more accurate diagnosis, have reached a dynamic structure due to artificial intelligence techniques. However, in cases when important diagnosis studies...

This paper reports results of artificial neural network for robot navigation tasks. Machine learning methods have proven usability in many complex problems concerning mobile robots control. In particular we deal with the well-known strategy of navigating by “wall-following”. In this study, probabilistic neural network (PNN) structure was used for r...

Chest diseases are one of the greatest health problems for people living in the developing world. Millions of people are diagnosed every year with a chest disease in the world. Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are most important chest diseases and these are very common illnesses in Turkey. In this...

Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are the most important chest diseases. These chest diseases are important health problems in the world. In this study, a comparative chest diseases diagnosis was realized by using multilayer, probabilistic, learning vector quantization, and generalized regression n...

Tuberculosis is an infectious disease, caused in most cases by microorganisms called Mycobacterium tuberculosis. Tuberculosis is a great problem in most low income countries; it is the single most frequent cause of death in individuals aged fifteen to forty-nine years. Tuberculosis is important health problem in Turkey also. In this study, a study...

Millions of people are diagnosed every year with a chest disease in the world. Chronic obstructive pulmonary and pneumonia diseases are two of the most important chest diseases. And these are very common illnesses in Turkey. In this paper, a comparative study on chronic obstructive pulmonary and pneumonia diseases diagnosis was realized by using ne...

Chronic Obstructive Pulmonary Disease (COPD) is a disease state characterized by airflow limitation that is not fully reversible. The airflow limitation is usually both progressive and associated with an abnormal inflammatory response of the lungs to noxious particles or gases. COPD is important health problem and one of the most common illnesses i...