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Toplam kayıt 16, 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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Using Machine Learning Algorithms for Jumping Distance Prediction of Male Long Jumpers
(Journal of Intelligent Systems: Theory and Applications, 2022)
The long jump is defined as an athletic event, and it has also been a standard event in modern Olympic Games. The purpose of the athletes is to make the distance as far as possible from a jumping point. The main purpose ...
Spatial Analysis of the Relationship Between Internal Migration, Education, and Growth in Turkey
(İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 2022)
People have to migrate to find better jobs, survive for various reasons such as war, famine, and environmental factors, in other words, to have better living conditions. The impact of internal migration, which is considered ...
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 ...