Browsing İşletme ve Yönetim Bilimleri Fakültesi by Language "eng"
Now showing items 1-20 of 32
-
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, ... -
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 ... -
Competency Gap Identification Through Customized I4.0 Education Scale
(Springer Science and Business Media Deutschland GmbH, 2022)The key competencies and knowledge of employees in a new era of production systems based on the concept of Industry 4.0 are becoming increasingly important for business and education worldwide. The intensive interaction ... -
Computer-Aided Detection of Lung Nodules in Chest X-Rays using Deep Convolutional Neural Networks
(Sakarya Üniversitesi Bilgisayar ve Bilişim Bilimleri Dergisi (Online), 2019)Chest X-Rays are most accessible medical imaging technique for diagnosing abnormalities in the heart and lung area. Automatically detecting these abnormalities with high accuracy could greatly enhance real world diagnosis ... -
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 ... -
Early Warning Signals From Global Financial Markets at the Beginning of Covid -19 Pandemic
(Turkish Studies (Elektronik), 2020)The Covid-19 Pandemic pose health security risks all over the world and makes its effects felt in every field. The objective of this paper is to observe the response of the financial markets of countries with the highest ... -
An Empirical Investigation on the Socioeconomic Determinants of Divorce Rates in CEE Countries
(Dicle Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2021)The paper examines the relationship between divorce rates and socioeconomic variables in CEE countries whose economic and political regimes were changed from communism to capitalism. Factors such as regime change have ... -
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 -
The Global Competitive Structure of ASEAN Countries in Innovative Products
(Springer, 2022)In this study, we aim to conduct a comparative analysis of the competitiveness of ASEAN countries in the export of innovative products. In the study covering the years 2002–2020, we use International Standard Industry ... -
The Impact of Health Expenditures on Medical Product Exports: A Case of E7 Countries
(İktisadi İdari ve Siyasal Araştırmalar Dergisi, 2022)It was aimed to analyze the impact of health expenditures on medical product exports in E7 countries (Turkey, China, India, Russia, Indonesia, Brazil and Mexico) in the developing countries group in the paper. In this ... -
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 ... -
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 ...