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In the present study, energy and exergy analyses of a solar powered absorption refrigeration system are corried out by terms of the first and second laws of thermodynamics. NH3-H2O fluid couple is used in the system. The analyses are performed with the help of…

For a successful thermal performance, the right choice and design of the thermal management materials used in LED die-moulding, cooler and soldered parts is a critical engineering problem. Because they are affected by heat emitted from the pn junction in the L…

Courtyards hold significant functional value in both traditional and contemporary architecture. They serve as open-air spaces that facilitate social interaction for users within urban environments. In order for these spaces to be utilized more efficiently by u…

Predictive maintenance (PdM) enhances industrial operational efficiency by facilitating timely detection of equipment failures using machine learning models developed from historical maintenance data.  Real-world industrial datasets frequently exhibit signific…

Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…

Solar photovoltaic (PV) systems are widely adopted for sustainable energy production; however, physical defects such as glass breakage significantly reduce panel efficiency and system output. In this study, a real-world case analysis was conducted on a 1003 kW…

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…

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…

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…

Sınavlarda ölçme aracı olarak kullanılan açık uçlu sorulardan oluşan sınavlarda yansız puanlama önemlidir. Açık uçlu sorular, öğrencilere kendilerini özgür bir biçimde ifade etme olanağı sunmakta ve çeşitli becerilerin farkındalığına imkân sunmaktadır. Ayrıca …

One of the most well-known and easy-to-design converter of DC-DC converters is DC-DC Boost converter. DC-DC boost converters are widely utilized in industrial applications. Therefore, output voltage regulation of the boost converter is a popular issue that res…

In this study, the effects nano-SiO2 and nano-Al2O3 on cement mortars were experimentally studied. The percentage of nano-powders were used as 1%, 3% and 5% into the material. Different types of analysis were used to nano-powder’s impact on the cement mortars.…

In this paper we presents an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few works have been done about the offline handwrit…

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

Neural Network has been used in a number of scientific fields including medical diagnosis. It is clear that classification is one of the main challenges in any medical diagnosis. However, the drawbacks of conventional neural network classifier are summarized a…

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…

İhtiyaç duyulan enerji talebinin büyük bir bölümü petrol, doğal gaz, kömür gibi fosil ve nükleer yakıtlardan elde edilmektedir. Elektrik tüketiminin sürekli artması, kullanılan kaynaklarının çoğunun fosil kökenli olması ve bu kaynakların elde edilme zorluğu dı…

The cell temperature of a photovoltaic (PV) module increases with increasing irradiation rate, and this increment adversely affects the output power or the electrical efficiency of the PV module. Therefore, in the present study, a series of experiments are p…