Kategori "Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı" İşletme ve Yönetim Bilimleri Fakültesi İçin Listeleme
Toplam kayıt 23, listelenen: 1-20
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Analysis of traffic accidents with fuzzy and crisp data mining techniques to identify factors affecting injury severity
(IOS Press, 2022)Injury severity in motor vehicle traffic accidents is determined by a number of factors including driver, vehicle, and environment. Airbag deployment, vehicle speed, manner of collusion, atmospheric and light conditions, ... -
Are Public-Private Components of Health Care Expenditures Converging Among OECD Countries? Evidence from a Nonlinear Panel Unit Root Test
(Sosyoekonomi Soc, 2019)Many countries devote an increasing proportion of their economic resources to produce and provide health care services. Looking at the written economic literature, it can be seen that although there is work on convergence ... -
Automated detection of Covid-19 disease using deep fused features from chest radiography images
(Elsevier, 2021)The health systems of many countries are desperate in the face of Covid-19, which has become a pandemic worldwide and caused the death of hundreds of thousands of people. In order to keep Covid-19, which has a very high ... -
Automatic segmentation of COVID-19 from computed tomography images using modified U-Net model-based majority voting approach
(Springer, 2022)The coronavirus disease (COVID-19) is an important public health problem that has spread rapidly around the world and has caused the death of millions of people. Therefore, studies to determine the factors affecting the ... -
Carbon footprint forecasting using time series data mining methods: the case of Turkey
(Springer, 2021)In the globalizing world, many factors such as rapidly increasing population, production and consumption habits, and economic growth cause climate changes. The carbon footprint is a measure of CO2 emissions released into ... -
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2021)Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as oto-endoscope and oto-microscope ... -
Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM
(Elsevier, 2022)Objectives: Middle ear inflammatory diseases are global health problem that can have serious consequences such as hearing loss and speech disorders. The high cost of medical devices such as otoendoscope and oto-microscope ... -
Classification of myositis from muscle ultrasound images using deep learning
(Elsevier, 2022)Inflammatory myopathies, are rare muscle diseases. As a result of the body's own immune system attacking by targeting the muscle cells, muscle weakness develops due to inflammation in the muscles. Early and definitive ... -
Convergence of Military Burdens in the MENA Region
(International Relations Council of Turkey, 2020)Military burdens in hostile environments may be high, as countries choose to spend on the military for deterrence purposes. In this study, we test whether the convergence hypothesis is valid for military burdens of a panel ... -
Deep neural network model with Bayesian optimization for tuberculosis detection from X-Ray images
(Springer, 2023)Tuberculosis is a chronic lung disease caused by bacterial infection, and more than 10 million people get this disease every year, especially in developing countries. Early diagnosis of tuberculosis is important for effective ... -
Female labor force participation and poverty: Evidence from regions of Turkey
(Peter Lang AG, 2021)Female labor force participation and poverty: Evidence from regions of Turkey -
Is there a relationship between human development and dependence on fisheries?
(Sciendo, 2023)International food and raw material security issues has gained much more importance than ever. This study examines that the following questions 'Who depends on whom?' and 'What is the level of dependency?' considering ... -
Katılımcı Yönetimde Önemli Bir Kavram Olarak Örgütsel Demokrasiye İlişkin; Ulusal Tez Merkezi, TR Dizin ve Dergipark Veri Tabanları Kapsamında Bir İçerik Analizi
(Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi, 2021)Genellikle kamu ve siyaset bilimi gibi alanlarda ele alınan demokrasi kavramı, modern yönetim yaklaşımının insana verdiği değer ile birlikte, işletme, eğitim, turizm, sağlık gibi yönetim bilimi ile ilgilenen farklı alanlarda ... -
A novel image Denoising approach using super resolution densely connected convolutional networks
(Springer, 2022)Image distortion effects, called noise, may occur due to various reasons such as image acquisition, transfer, and duplication. Image denoising is a preliminary step for many studies in the field of image processing. The ... -
Optimization and analysis of a tandem queueing system with parallel channel at second station
(Taylor and Francis, 2021)We consider a tandem queue consisting of two stations. We demonstrate that customer numbers and waiting times at both stations are independent of each other in the steady-state. As an optimal design, in the second station, ... -
Phishing Detection System Using Extreme Learning Machines with Different Activation Function based on Majority Voting
(Gazi Üniversitesi, 2022)Phishing is a type of software-based cyber-attack carried out to steal private information such as login credentials, user passwords, and credit card information. When the security reports published in recent years are ... -
Plant leaf disease classification using EfficientNet deep learning model
(Elsevier, 2021)Most plant diseases show visible symptoms, and the technique which is accepted today is that an experienced plant pathologist diagnoses the disease through optical observation of infected plant leaves. The fact that the ... -
Prediction of sports attendance: A comparative analysis
(SAGE Publications, 2022)In this study, a comparative analysis for predicting sports attendance demand is presented based on econometric, artificial intelligence, and machine learning methodologies. Data from more than 20,000 games from three major ... -
Quantitative Analysis of Stakeholder Perspective on the University-Industry-Government Collaboration in İzmir, Turkey
(Springer, 2021)Industry 4.0 necessitates the transformation of businesses towards the use of digital technologies and become more competitive in a global market. The collaboration of businesses and academic institutions is a fundamental ... -
Retail analytics: store segmentation using Rule-Based Purchasing behavior analysis
(Taylor and Francis, 2021)Retailers are facing challenges in making sense of the significant amount of data available for a better understanding of their customers. While retail analytics plays an increasingly important role in successful retailing ...