Search

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…

Although numerous amounts of research have been done to find alternate sources of energy consumption and its applications. But in times of energy crisis and global warming urgency, it is needed to pace towards methods of less dependency on fossil fuels in the …

Supplier selection and measurement of supplier performance are multiple criteria decision making (MCDM) problems and have a strategic importance for all industries. Supplier performance measures is a tool to determine whether suppliers are doing their job as e…

Sınavlarda ölçme aracı olarak kullanılan açık uçlu sorulardan oluşan sınavlarda yansız puanlama önemlidir. Açık uçlu sorular, öğrencilere kendilerini özgür bir biçimde ifade etme olanağı sunmakta ve çeşitli becerilerin farkındalığına imkân sunmaktadır. Ayrıca …

The hub location problem deals with locating hub facilities and allocating non-hub nodes to hub. Hub location problem is classified as p-hub median problem, p-hub center problem, hub covering problem and hub location problem with fixed cost in the literature. …

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 …

E-commerce is evolving rapidly, creating a more competitive market environment. With this development, gaining a competitive advantage has become even more crucial. Companies implement various strategic moves to maintain their position in this competitive mark…

Multiple Birth Support Vector Machines (MB-SVM) were introduced as a powerful extension of SVM. Although the basic idea is like SVM, optimal non-parallel hyperplanes are used for each class category. One may find different implementations of this approach in t…

Over the last few years, object recognition systems take the researchers' attention. The revolution in the artificial intelligence and computer vision systems and algorithms drives to numerous approaches. In this research, we are presenting an object recogni…

Several statistical analyses of the Pisarenko harmonic decomposition (PHD) method for frequency estimation of a single real sinusoid in noise have been carried out in the literature. However, all of the analyses consider the phase of the sinusoid as a constant…

Bu çalışmanın amacı, dünyada ilk 10’a giren ve hisse değerlerine ulaşılabilen düzenli hat taşımacılığı yapan 8 şirketin hisse değerlerinde etkin piyasa hipotezinin geçerli olup olmadığının tespit edilmesidir. Bu doğrultuda, zayıf formda etkin piyasa hipotezi…

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 …

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…

Çağımızda hızla gelişen teknoloji ve bilgi sistemlerinin birbiri ile entegrasyonu, işletmelere rekabet ortamında varlıklarını sürdürebilme ve gelişme imkanı sağlamaktadır. Bilgi teknoloji sistemlerinden yararlanma yöntemlerinden biri olan Kurumsal Kaynak Pla…

In order to investigate the relationship between variables, it is necessary to reveal the dependency structure between variables and because of this reason, the concept of “copula” is being used in statistics literature in recent years. The main purpose of the…

Kütahya, the ancient city in which we live, has a very rich history and cultural background. The capital of Germiyanoğulları Principality period, Beylerbeyi center of the Ottoman period, and the city of one of the city of sezade, has a rich architectural herit…

This review explores the role of artificial intelligence (AI) in enhancing energy efficiency within heritage buildings, focusing on balancing sustainability goals with the preservation of historical and architectural integrity. AI technologies such as Building…

Forecasting earthquakes is challenging due to the difficulty in detecting underground phenomena. However, statistically, 30% of large earthquake foreshocks occur before the main shock, which indicates that, theoretically, it is possible to forecast them. Howev…

This study aims to evaluate fire safety and escape route design in student dormitories. Ismail Necati Efendi KYK Dormitory and Hubbi Hatun Dormitory in Karabük province were comparatively examined in terms of space organization, user density, number and placem…