Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu by İSTE Author "Uçar, Emine"

Now showing items 1-6 of 6

Automated detection of Covid-19 disease using deep fused features from chest radiography images

Uçar, Emine; Atilla, Ümit; Uçar, Murat; Akyol, Kemal (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 ...
Carbon footprint forecasting using time series data mining methods: the case of Turkey

Akyol, Müge; Uçar, Emine (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

Uçar, Murat; Akyol, Kemal; Atilla, Ümit; Uçar, Emine (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

Uçar, Emine (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 ...
A novel image Denoising approach using super resolution densely connected convolutional networks

İncetaş, Mürsel Ozan; Uçar, Murat; Uçar, Emine; Köse, Utku (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 ...
Plant leaf disease classification using EfficientNet deep learning model

Atilla, Ümit; Uçar, Murat; Akyol, Kemal; Uçar, Emine (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 ...

Araştırma Çıktıları | Scopus İndeksli Yayınlar Koleksiyonu by İSTE Author "Uçar, Emine"

Automated detection of Covid-19 disease using deep fused features from chest radiography images ﻿

Carbon footprint forecasting using time series data mining methods: the case of Turkey ﻿

Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM ﻿

Classification of myositis from muscle ultrasound images using deep learning ﻿

A novel image Denoising approach using super resolution densely connected convolutional networks ﻿

Plant leaf disease classification using EfficientNet deep learning model ﻿

Automated detection of Covid-19 disease using deep fused features from chest radiography images

Carbon footprint forecasting using time series data mining methods: the case of Turkey

Classification of Different Tympanic Membrane Conditions Using Fused Deep Hypercolumn Features and Bidirectional LSTM

Classification of myositis from muscle ultrasound images using deep learning

A novel image Denoising approach using super resolution densely connected convolutional networks

Plant leaf disease classification using EfficientNet deep learning model