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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 …

Author research interest is using AI tools in learning in any field connected with education. In this study proposes the idea of how to make the educational process more flexible in the post-pandemic period using the Artificial Intelligence (AI) technologies. …

Bu çalışmada, el yazısı karakterlerin tanınmasına yönelik derin öğrenme tabanlı bir model geliştirilmiştir. Model, farklı sayıda çıkış sınıfı (karakter) için test edilmiş; yalnızca 10 karakterin sınıflandırıldığı senaryoda %96 doğruluk oranı elde edilirken, sı…

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

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…

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …

This study examines the effects of inrush current loads on electric motors operating under low-temperature conditions. While electric motors have a wide range of applications in industrial and military environments, they face significant performance challenges…

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…

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 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…

Özetçe - Mobil manipülatörler, çeşitli endüstrilerde önemli bir rol oynamakta olup, üretim ve lojistikten sağlık hizmetleri ve felaket müdahalesine kadar birçok göreve katkı sağlamaktadır. Bu nedenle dünya genelinde çeşitli endüstriler büyüdükçe mobil manipüla…

This article presents a comprehensive examination of the integration of Edge AI and metaheuristic algorithms, highlighting its vast potential and applications across diverse domains. The synergistic integration of these technologies promises faster, smarter, a…

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…

Bu projede, Digi Firması’na ait IEEE 802.15.4 internet protokolüne sahip olan ayrıca ZigBee ağ haberleşme sistemine uygun olarak geliştirilen ve 2.4 GHz frekansında çalışan XBee S2C cihazları kullanılmıştır. Yer uydu haberleşme sistemine entegre edilerek alıcı…

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 this study, a new wheel rim design and static analysis has been carried out to enable ground vehicles to navigate better in unfavorable road conditions such as snowy, icy and muddy. This new designed wheel rim has a dynamic structure. On roads with adverse …

The soft approach stands for change in traffic policy and regulatory measures which calls for different organization and control of the traffic network. This paper shows examples of best practices which present the possibility of improvement and advancement of…

The Head of Revenue Administration (HRA) in Turkey imposes the obligation to use new generation payment recording devices (NG PRDs) at fuel stations. The pump and the cash register were separate units in old payment systems, and communication was provided via …

Türkiye’de tüketim harcamaları içerisinde en fazla payı gıda ve alkolsüz içecek sektörü (%24.45) almaktadır. Bu kapsamda, böylesine önemli bir sektörde tüketici davranışları oldukça önem arz etmektedir.  Bu bağlamda çalışmada, içecek tüketim harcamalarında etk…

Bu çalışmada, Dünya’nın önde gelen kadın politikacılarının liderlik tarzları, liderlik kuramları çerçevesinde analiz edilecektir. Bu kapsamda, Indra Gandi, Margareth Thatcher, Angela Merkel, Benazir Butto ve diğer kadın politikacılarının liderlik davranışları,…