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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 …

Sunulan çalışmada, kalp hastalığı riskinin erken ve güvenilir biçimde tahmin edilmesini sağlayan makine öğrenmesi tabanlı bir mobil uygulama geliştirilmiştir. Dokuz farklı algoritma değerlendirilmiş, en yüksek doğruluğa (%86,81) sahip olan k-NN modeline rağmen…

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…

Microalgae are recognized as environmentally sustainable and biologically renewable resources for the production of high-value products such as biomass, biofuels, dietary supplements, and pharmaceuticals. However, their large-scale cultivation is highly sensit…

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…

Mobilya yüzyıllardır insanlığın kültürel zenginliğinin bir yansıması olmuştur. Aynı zamanda dünya ekonomisinde mobilya endüstrisi önemli bir yere sahiptir. Fakat bu endüstride rekabet hızlı bir şekilde artmaktadır. Mobilya ürünü için estetik, fonksiyonellik,…

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…

Text mining, which aims to derive unknown and useful information from available textual data, is one of the subfield of data mining. Text mining transforms unstructured textual data into structured form by utilizing various methods. Data mining techniques ca…

The aim of this study is to forecast installed wind power which is a one of the renewable energy resources in Turkey for the year of 2017 based on artificial neural network method using the normalized last ten-year data. An artificial neural network has been c…

Wireless Sensor Networks have many application fields including both industrial and military usages. They are used for monitoring temperature, distance, light, and motion in laboratories and/or application specific environments. This paper focuses on developin…

Today, the most important analysis is to get correct data about the number of customer in businesses like stores, shopping centers, banks and public enterprises. Especially, the most important outcome of the R & D and Designs made within the enterprises is the…

Gelişen teknoloji ve artmakta olan nüfus yoğunluğu sebebiyle enerji talebi gün geçtikçe artmaktadır. Artan enerji talebini karşılamak için gerilim seviyeleri yükseltilmekte, yeni iletim hatları inşa edilmekte, ya da var olan iletim hatları akım taşıma kapasite…

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 …

Akut Lenfoblastik Lösemi (ALL) genellikle 2-5 yaş arasındaki çocuklarda görülen, kemik iliğindeki beyaz kan hücrelerinin hızlı artışından ve şekilsel bozukluklarından kaynaklanan bir kanser türüdür. Tespit edilip tedavi sürecinin başlatılmadığı takdirde ölümle…

Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of image processing. Nume…

Diabetic retinopathy is the leading cause of blindness among diabetic patients. It occurs when the light-sensitive tissue in the retina is damaged. According to WHO statistics, the current global prevalence of diabetic retinopathy is approximately 103 million …

Bu makalede OECD veri tabanından alınan eğitim verilerin, Python[1] programlama dili kullanılarak karşılaştırılması ve görselleştirilmesi gerçekleştirilmiştir. Bu grafikler uygun oldukları alt başlıklar altında incelenmiş, Türkiye'deki eğitim sistemi [2] üzeri…

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…

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 …

Any modern information system in its architecture implies the need to provide multilevel access to data. Existing mechanisms of customer interaction are oriented to users working with desktop computers and it is quite inconvenient to distribute mobile devices.…