İndekslendiği Kaynaklar "Web of Science Core Collection - Science Citation Index Expanded" İşletme ve Yönetim Bilimleri Fakültesi İçin Listeleme
Toplam kayıt 13, listelenen: 1-13
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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, ... -
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, 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 ... -
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 ... -
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, ... -
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 ... -
A Sequential Test of Traffic Intensity for the M/M/1 Queueing System
(Taylor and Francis, 2023)This paper deals with testing traffic intensity, which is the most important parameter of the (Formula presented.) queue system. The Wald-type sequential probability ratio test (SPRT) is performed to determine traffic ... -
Testing traffic density of a heterogeneous stochastic queueing system using SPRT
(Taylor and Francis, 2021)We aim to determine the traffic density of the system as a control method in queuing systems and to keep it at the desired level. This article expands the sequential probability ratio test (SPRT) method in the heterogeneous ...