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There is a global high demand for creating smart cities due to the increasing population of the world and lack of natural resources. There are six stated criteria in order to be eligible to become a smart city, which are directly related to governance, economy…

Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…

The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of s…

Healthcare fraud, waste, and abuse (FWA) are among the most significant drivers of financial inefficiency in healthcare systems worldwide, with estimates suggesting they contribute to as much as 10% of total healthcare expenditures. In the United States, these…

Bu çalışmanın temel amacı, öğretmen adaylarının mezun olmadan önce var olabilecek mesleki kaygılarının tükenmişlik düzeylerini yordayıp yordamadığının belirlenmesidir. Çalışma, nicel araştırma yöntemlerinden ilişkisel tarama modelinde betimsel bir çalışmadır…

Today, human beings encounter countless visual narratives every day and sometimes they can construct reality through these narratives. Creation of perfect visual images for perfect visual appeal also brings along with the sense of “ideal beauty". Transmisions …

Today, artificial intelligence, which has been used in all areas of life, has been used effectively in real estate housing market researches. Artificial intelligence, one of the techniques of artificial intelligence, inspired by the working principle of human …

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…

The identification of the 3-dimensional physical properties of humans has recently become a very important field of study. In this respect, today's applications and research use depth cameras such as Kinect as an input tool for identification of quantitative c…

Yapay sinir ağları makine öğrenmesi alanında birçok problemin çözümünde sıklıkla kullanılmaktaydı. Fakat “Yapay Zeka Kışı” olarak da adlandırılan dönemde ilk olarak donanımsal kısıtlamalar ve diğer problemler sebebiyle bu alandaki çalışmalar durma noktasına ge…

Prediction in the medical field is a challenging problem and as a result many researchers have used different artificial intelligent methods including conventional Self Organizing Map (SOM) to achieve this task. SOM is a specialized clustering technique that h…

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…

Deep learning allows computational models of multiple processing layers to learn and represent data with multiple levels of abstraction mimicking how the brain perceives and understands multimodal information, thus implicitly capturing intricate structures of …

In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …

The unlimited nature of consumption and needs contrasts with the scarcity of usable resources, necessitating the optimal use of available resources. Alongside the careful protection of the environment and human health, it is crucial to meet needs with maximum …

Complex-valued artificial neural network (CVANN) has been developed to process data with complex numbers directly. In a CVANN the weights, threshold, inputs and outputs are all complex numbers. The convergence of the CVANN back propagation algorithm depending …

Çalışmada, Mardin ilinde, pamuk tarımında çalışan mevsimlik kadın ve çocuk işgücünün kullanım boyutları ve pamuk hasat işinde çalışan mevsimlik tarım işçilerinin kendilerinin ve çocuklarının bu işi yapmaların da etkili olan faktörler belirlenmeye çalışılmıştır…

Sağlıklı bir yaşamın önemli koşullarından olan yeterli ve dengeli beslenme için gereksinim duyulan enerji, protein, vitamin ve minerallerin karşılanmasında hayvansal gıdalar ilk sırada yer almaktadır. Tavuk eti fiyatının kırmızı ete oranla düşük olması nedeniy…

Yetişkin eğitimi, yetişkin olarak düşünülen kişilerin yeteneklerini geliştirmelerine, bilgilerini artırmalarına, tutum ve davranışlarını hem kişisel gelişme bakımından, hem de dengeli ve bağımsız bir toplumsal, ekonomik ve kültürel gelişmeye katılma bakımından…

The term structural optimization is commonly used for the optimization of engineering structures, such as building, automobile, or airplane structures for improved strength, stiffness properties, fatigue life and reduced weight or cost. Main purpose of this st…