Furniture has a large share in all endstirisinde in the World and Turkey. People demand for furniture products is increasing day by day. Furniture manufacturers are curious about which furniture products are most demanded by customers. Although it is possible …
Search
Type: Research Article ×
Clear filters
623 results for “Functional Data Analysis”
In addition to developing information technologies, medical decision support systems are used to make decisions more effective, faster, more accurate and easier to make decisions in medicine and healthcare. With data mining, which is an important part of med…
Interest in Data Envelopment Analysis (DEA) has grown in recent years. This is not surprising since DEA can be used to explore efficiency in organizations whose outputs and inputs cannot be reduce to monetary terms. In a relatively short period of time Data En…
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…
Generally, it is limited to obtain all kinds of data for determining of variables which distributed points in any area. Estimates are made from this data for unsampled locations. Thus, the spatial properties of an examined variable are defined all over the are…
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…
Climate change effects have been remarkably today; the determination of trends in temperatures, precipitation, stream flow, winds and evaporation has become considerable for the planning and management of water resources and engineering projects. Nowadays ther…
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…
Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …
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…
Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…
This paper explores how intra-day volatility behaves across different weekdays during periods of major financial stress, focusing specifically on the S&P 500 and NASDAQ-100 indices. The analysis spans two significant market disruptions—the 2008 Global Financia…
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 …