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Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …

The present study investigates the heat transfer characteristics of swirling coaxial confined impinging turbulent air jets. Experimental range covers different values of dimensionless nozzle-to-plate distance (H / D = 0.5, 1 and 2) and dimensionless flowrate…

One of the fastest 3D data acquisition methods is LiDAR scanning technology. By using LiDAR scanners, 3D point clouds of the scanned seen is obtained easily. Although the scanning phase is fast, the meaningful and effective 3D visualization of the scene requir…

Bu çalışma ile bireylerin renk tercihlerinin aldıkları eğitime göre değişip değişmediği araştırılmaktadır. Çalışmada çevresel imajı oluşturan ‘renk’ kavramı bağımlı değişken olarak, bireylerin eğitim durumu ise bağımsız değişken olarak ele alınmış ve bu iki …

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…

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…

COVID-19 (coronavirus disease-2019 pandemic continues to threaten public health and this situation is raising great concern all over the world. With the development of different vaccines, it was aimed to end the epidemic and increase community immunity in the …

Social networks are formed from interactions of peoples. Measuring the degree of those relationships requires interpreting connectivity of vertices and extracting information from it. Generally individuals form smaller sub-communities in those networks. Identi…

This paper explores the transformative role of Building Information Modelling (BIM) in enhancing stakeholder engagement in transportation infrastructure projects. Drawing on literature, real-world case studies, and survey results from 32 stakeholders, the rese…

Palmprint recognition (PR) has garnered significant interest due to its distinctive characteristics and potential applications as a robust and secure biometric authentication (BA) method across various domains. This paper introduces a novel approach to enhance…

 P300, especially P3b, the third positive peak with near 350ms associated with occipito-patieto-temporal region of the brain, is mainly responsible for categorization of different objects. So, this study investigates the nature of amplitude and reaction time d…

Herhangi bir aktiviteyi gerçekleştirmek için gerekli olan plan ve şemaların hazırlanmasında geçirilen yaratıcı süreç tasarım ya da tasarlama olarak tanımlanmaktadır. Tasarım yapılan alanların estetik olarak değerlendirilmesi gözleyen kişinin yetiştiği ortam, a…

Haptic devices are used in a variety of virtual reality applications in order to allow user interaction with virtual objects. These devices transfer user comments such as rotations, transitions or deformations to the virtual environment and also transfer any r…

Bu araştırmada, eğitim mekânlarında kullanılan farklı renklerdeki (kırmızı ve mavi) duvar bandlarının öğrencilerin algısal değerlendirmeleri üzerindeki etkilerinin belirlenmesi amaçlanmıştır. Bu maksatla, Ankara’da bulunan Ankara Üniversitesi Geliştirme Vakfı …

Seismic data is a critical source for examining and understanding subsurface structures. It is used in various fields such as oil exploration, geological research, mining, underground infrastructure planning, environmental monitoring, and conservation. The ana…

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 …

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…

At the last two decades the information world and associated information technologies have been progressed. This progress can be implemented from the concept of the internet to the internet of things. The Internet of things (IoT) refers to billions of electron…

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 …

There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achiev…