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Bir kentsel mekan, farklı bireylerde farklı algılar uyandırmakta; zihinde oluşturulan mekansal imge, mekanı kullanan bireyin kentsel mekanda oluşturdu u anı e kişisel deneyimine ba lı olarak de işmektedir er birey, kentsel mekana ilişkin kendi imgesini yarat…

Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…

Sleep disorders such as insomnia, sleep bruxism, narcolepsy, and sleep-disordered breathing have different sleep quality parameters such as cyclic alternating pattern phases and A subtype phases. This study aims to analyze and predict the A phase subtypes from…

The study will utilize machine learning algorithms such as Random Forest, Gradient Boosting, and Support Vector Regression (SVR) on data collected from the districts of Nalgonda, Yadadri Bhuvanagiri, and Suryapet over the past two years. The project seeks to m…

In this study, a PID controller with fractional order derivative filter (PIDFF) is designed for automatic voltage regulation (AVR) in power systems. In order to ensure maximum transient and steady state performance from the designed controller, the controller …

Flexible job shop scheduling problem (FJSSP) contains two sub-problems, that is, routing and scheduling. Each operation is assigned to a machine among a set of alternative machines in the routing sub-problem, whereas the assigned operations on all machines are…

Nowadays new applications and new web sites are being developed, better methods and tools are needed in order to be able to develop web or mobile applications in a fast and interactive way with minimal code structure. In this point, both the design of the appl…

In this study, it is aimed to develop a deep learning application which detects types of garbage into trash in order to provide recyclability with vision system. Training and testing will be performed with image data consisting of several classes on differen…

Today, with the rapidly development of technology, artificial neural networks (ANN) usage as an alternative to statistical methods increase in many fields such as finance sector, medical science, defense industry, production, robot systems, image processing an…

Günümüzde çocukların fizik tedavilerinde;  germe, elektrik uyarısı, biofeedback, aktif eklem hareketi, kuvvetlendirme ve soğuk uygulama gibi çocuğun motor ve mental durumuna uygun tamamlayıcı uygulamalar kullanılır. Çocuklar bu tedaviler süresince çoğunlukla z…

Researchers attention on the optimization methods to solve several applications increases recently by the advances in the technological field. The Artificial Bee Colony algorithm that has been quite popular during the recent years is firstly used in this study…

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…

It is well known that non-Gaussian noise deteriorates the detection performances of the conventional detection methods. This problem is also encountered in cognitive radio where impulsive structure of noise negatively affects spectrum sensing. Multistage detec…

In the fifth generation (5G), the traditional restrictions that limit the capacity of wireless communication must be overcome. Non-orthogonal multiple access (NOMA) is a promising solution capable of overcoming these constraints to meet the requirements of 5…

In this study, the problem of discharging of the water in a rectangular tank from the orifice with square crosssection was investigated experimentally and numerically. Time evolution of the water level, obtained experimentally by using image processing techni…

This paper describes a laboratory application for the forecasting the dielectric properties, using an artificial neural network embedded in a microprocessor. The dielectric permittivity and loss factor of the insulation material were determined as a function o…

Few ancient structures inspire spiritual reverence and architectural awe like the Roman Pantheon. Designed as a temple and a cosmological instrument, the Pantheon depicts how Roman architects transformed daylight into a divine symbol. This paper examines the s…

Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…

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…

Social appearance anxiety is the result of negative body image related to the bodies of individuals in general. The aim of this study is to investigate the social appearance anxiety of students studying in sports management department according to some variabl…