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Toplam kayıt 32, listelenen: 1-10
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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
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, ...