Search
Now showing items 1-10 of 28
InSiNet: a deep convolutional approach to skin cancer detection and segmentation
(Springer Science and Business Media Deutschland GmbH, 2022)
Cancer is among the common causes of death around the world. Skin cancer is one of the most lethal types of cancer. Early diagnosis and treatment are vital in skin cancer. In addition to traditional methods, method such ...
Analyzing and Predicting Spatiotemporal Urban Sprawl in Eskişehir Using Remote Sensing Data
(Springer, 2022)
Urban areas of major cities in developing countries are expanding rapidly due to rapid population growth and industrialization. Determining the reasons for rapid urbanization and the amount of urban area that will be needed ...
Performance comparison of deep learning and machine learning methods in determining wetland water areas using EuroSAT dataset
(Springer Science and Business Media Deutschland GmbH, 2022)
Wetlands are critical to the ecology because they maintain biodiversity and provide home for a variety of species. Researching, mapping, and conservation of wetlands is a challenging and time-consuming process. Because ...
Automatic Classification of COVID-19 using CT-Scan Images
(Universidade Estadual de Maringa, 2021)
Medicine and engineering sciences have been working in close contact for common purposes. Machine learning algorithms are used in the medical field for early diagnosis prediction. The major aim of this study is to evaluate ...
QUALITY ASSESSMENT of PANSHARPENED RASAT and LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE
(2021)
Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral ...
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
(Elsevier B.V., 2022)
COVID-19 (SARS-CoV-2), which causes acute respiratory syndrome, is a contagious and deadly disease that has devastating effects on society and human life. COVID-19 can cause serious complications, especially in patients ...
Transfer Learning Approach and Nucleus Segmentation with MedCLNet Colon Cancer Database
(SPRINGER, 2022)
Machine learning has been recently used especially in the medical field. In the diagnosis of serious diseases such as cancer, deep learning techniques can be used to reduce the workload of experts and to produce quick ...
Fruit Detection from Apple Orchard Using Point Cloud Data
(TUBITAK, 20222)
Meyve konumlarının güvenilir olarak tespit edilmesi hasat ve rekolte tahmini sürecini geliştirerek ekonomik, çevreci ve sürdürülebilir tarımın önünü açar. Meyvecilikte modern çözümler geliştirmek, meyve bahçelerinin karmaşık ...
Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
(Taylor and Francis Ltd., 2023)
This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary ...
Excessive groundwater withdrawal and resultant land subsidence in the Küçük Menderes River Basin, Turkey as estimated from InSAR-SBAS and GNSS measurements
(Elsevier Ltd, 2023)
Küçük Menderes River Basin (KMRB) is located in the western part of Turkey in the city of İzmir. The basin hosts about half a million people and 90% of the population makes their living from farming and animal husbandry. ...
