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Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…

Canlı varlıklar yaşamlarını sürdürebilmek için suya ihtiyaç duyarlar. Su yeryüzünde sürekli olarak bir dolanım halinde bulunmaktadır. Bu dolanım sırasında çeşitli sebeplerden dolayı suya karışan maddeler suyun özelliklerinin değişmesine sebep olur. Gerek suyun…

Wireless Sensor Networks have many application fields including both industrial and military usages. They are used for monitoring temperature, distance, light, and motion in laboratories and/or application specific environments. This paper focuses on developin…

In this study, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of t…

Canlılar koşma, yürüme ve emekleme gibi temel hareketlerini gerçekleştirmek için Merkezi Desen Üreteçleri olarak isimlendirilen ritmik desenler üreten sinir hücreleri topluluğuna sahiptir. Merkezi Desen Üreteçleri, canlıların bu temel hareketlerine ek olarak…

Bu çalışma, en ilkel omurgalı canlılardan biri olan taşemen balığının yüzme deseninin oluşturulması amacıyla, bir sinüzoidal osilatör ve birkaç birinci dereceden alçak geçiren filtre ile oluşturulan basit bir merkezi desen üreteci (Central Pattern Generator-CP…

Although numerous amounts of research have been done to find alternate sources of energy consumption and its applications. But in times of energy crisis and global warming urgency, it is needed to pace towards methods of less dependency on fossil fuels in the …

The successful estimation of future electricity consumption has a crucial importance in the energy planning. Because, in order to meet rising energy demand, policy makers should formulate electricity supply policies and make critical decisions and develop ne…

Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …

Elektromiyografi, kas aktivitesi sonucunda meydana gelen biyolojik işaretlerin ölçülmesine olanak sağlayan invaziv olmayan bir yöntemidir. Yüzey ve iğne elektromiyografisi olarak uygulama amacına göre iki şekilde kullanılmaktadır.  Bu çalışmada internet üzerin…

Diabetes is a chronic disease affecting millions worldwide, necessitating early and accurate diagnosis for effective management. Traditional diagnostic methods, while reliable, often struggle with efficiency and early-stage detection. Deep learning has emerged…

In this study, diabetes prediction was conducted using XGBoost, Support Vector Machines (SVM), and a Multilayer Artificial Neural Network (ANN). Attributes that cannot be biologically ‘0’ (e.g. glucose, BMI) were first marked as NaN. After filling the missing …

The rapid urbanization and exponential growth in vehicle numbers have significantly increased the demand for parking spaces in metropolitan areas, creating challenges for drivers and urban planners alike. Effective detection of available parking spaces is cruc…

Over the past century, before and after the pandemic of COVID-19, workers in multiple sectors, such as medical, chemical, and nuclear, have been required to wear face masks during duties. However, physical 24/7 supervision is nearly impossible in public places…

Ball and beam system is an experimental set for control system design that the position of the ball on a beam is changed with respect to the reference direction by changing the angle of the beam. The PID controller is applied to this problem. The performance o…

Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by integrat…

We propose using support vector machines (SVMs) as a machine learning classifier in a grain-conditionmonitoring system. This system is used to proactively monitor the silobag-stored grain condition. The system consists of a wireless sensor network (WSN) and a …

In the last decade, deep learning in general and Convolutional Neural Networks (CNN) have achieved a human level and outstanding performance in almost all computer-based systems such as classification(text, images, and videos). Building an efficient CNN archit…

The purpose of this study is to examine the software libraries and data sets used for Deep Learning architectures. Deep Learning brings a different perspective to the field of artificial intelligence. It has begun to be used an incredibly wide field in recent …

The incidence of skin cancer is increasing. Early detection of cases of skin cancer is vital for treatment. Recently, computerized methods have been widely used in cancer diagnosis. These methods have important advantages such as no human error, short diagnosi…