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The Internet of Vehicles (IoV) is a branch of the Internet of Things that deals with vehicle-to-vehicle communication and intelligent transport systems (ITS). But this connection is not without consequences, because the more a system exchanges information, the…

In this paper we presents an application of deep learning techniques to recognize handwritten source code characters. Although there are many works on the handwritten character recognition (HCR) problem, very few works have been done about the offline handwrit…

21. yüzyıldan itibaren teknolojideki gelişmeler sayesinde konum tabanlı sistemler giderek yaygınlaşmaya başlamıştır. Uydu tabanlı konumlandırma sistemleri, uydulardan gelen sinyallerin zayıf şiddette olması sebebi ile bina içine nüfuz edemez. Bir iç ortam konu…

Bu çalışmada Yapay Bağışıklık Sistemine(YBS) dayalı Klonal Seçim Algoritması'nın (KSA) Matlab ortamında yazılımı gerçekleştirilmiştir. Ayrıca KSA'na koşul tabanlı bir yapı eklenerek geliştirilmiştir. Geliştirilen Koşul-Tabanlı Klonal Seçim Algoritması (KT-KSA)…

Bu çalışmada UCI Makine Öğrenmesi havuzundan alınan kardiotokogram verisinde morfolojik örüntü sınıflandırması yapılmıştır. Sınıflandırıcı olarak kompleks değerli yapay sinir ağları kullanılmıştır. Sınıflandırıcının performansı 10-katlı çapraz doğrulama yaklaş…

The quality control process for determining fabric faults causes high cost and time loss when performed with human eyes. Adding a real-time system to the fabric production mechanisms is very difficult to detect mistakes. In this study, 5 MP Raspberry Pi camera…

In this paper, a structural-output is obtained to estimate 3D human pose using 3D human point cloud and monocular images. The Neural Network takes a human image and 3D pose as inputs and gives outputs a score value. Conditional Random Field (CRF) approach is u…

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…

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 …

This study evaluates the performance of Faster R-CNN and YOLOv7 object detectors for dynamic ship detection in maritime applications. Both algorithms are tested under challenging conditions, including poor image quality due to cloud and dust obscuration, varyi…

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 …

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…

Three-phase asynchronous motors are widely used in many areas of industry. Unplanned malfunctions in the motor can cause the entire system to become inefficient. Detecting and intervening the malfunctions before they grow has a direct impact on the life of the…

Lojistik performans endeksleri (LPI) dünya bankası tarafından her iki yılda bir ülkelere yapılan anketler sonucunda yayınlanmaktadır. LPI’leri 1 ile 5 arasında değerler alarak, skoru beşe yakın olan ülkenin performansının diğerlerine göre daha yüksek olduğunu …

As it is known, the importance and consumption of water is increasing day by day due to industrial growth, population growth, advancement of technology and increasing living standards. Because of the limited water resources, the design, planning and forecastin…

A central composite design is a good choice for a spherical design region while providing high-quality predictions over the entire spherical design region. However, this design requires design variable settings outside the range of the design variables in the …

Data Envelopment Analysis (DEA) is a non-parametric mathematical programming that uses multi inputs to produce multi outputs. It is investigated whether the decision making unit is effective or not. However, it has been debated for years that the results obtai…

Son yıllarda insan yaşamını tehdit eden doğal afetlerden biri de heyelanlardır. Ülkemizde özellikle karadeniz bölgesinin gerek eğim gerekse yıllık toplam yağış miktarları, heyelanların nedenleri arasında gösterilmektedir. Bu çalışma kapsamında doğu karadeniz b…

Digital image processing has become popular research area recently because of its widespread application compatibility such as security, robotics, quality control, face authentication. Skin segmentation methodology, which is a tool of digital image processing,…

Trend analysis of precipitation play a significant role in the efficient water resources management, especially in arid and semi-arid regions. In this study, 48 years-long (1970-2017) annual precipitation data monitored at nine selected stations (Mardin, Adı…