Başlık için Harita Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 28, listelenen: 5-24
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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 ... -
Detection of forest fire using deep convolutional neural networks with transfer learning approach[Formula presented
(Elsevier Ltd, 2023)Forest fires caused by natural causes such as climate change, temperature increase, lightning strikes, volcanic activity or human effects are among the world's most dangerous, deadly, and destructive disasters. Detection, ... -
The effect of tourism and legalization policies on summer pasture in Turkey
(Murat Yakar, 2022)In Turkey, according to Pasture Law, land allocated for farmers to spend the summer with their animals, graze their animals and benefit from grass is defined as “summer pasture (yaylak in Turkish).” Summer pasture is of ... -
Evaluation of the process for acquisition of land property in the implementation of power transmission line projects
(Geomatik Journal, 2021)While preparing PTL (Power Transmission Line) projects, the land where the PTL is crossing is determined by considering criteria such as economy, environment and security. The realization of PTL projects is possible after ... -
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. ... -
Fast building detection using new feature sets derived from a very high-resolution image, digital elevation and surface model
(Taylor and Francis Ltd., 2024)Detecting building rooftops with very high-resolution (VHR) images is an important issue in many fields, including disaster management, urban planning, and climate change research. Buildings with varying geometrical features ... -
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 ... -
GIS-based determination of potential instabilities and source rock areas on the Torul-Kürtün (Gümüşhane) motorway, rockfall, and protection structure analyses
(Springer Nature, 2022)The Torul-Kürtün-Tirebolu motorway, one of the alternative routes for access between the Eastern Anatolia Region and the Black Sea Region, has an important traffic potential in this respect. However, rockfall events that ... -
GIS-based multi-influencing factor (MIF) application for optimal site selection of solar photovoltaic power plant in Nashik, India
(Springer, 2024)The significant natural energy sources for reducing the global usage of fossil fuels are renewable energy (RE) sources. Solar energy is a crucial and reliable RE source. Site selection for solar photovoltaic (PV) farms is ... -
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 ... -
Integrated deep learning and ensemble learning model for deep feature-based wheat disease detection
(Elsevier Inc., 2024)Early detection of plant diseases is critical to prevent disease spread and assist farmers. Thanks to their high discrimination ability, Convolutional Neural Network (CNN)-based architectures can offer practical solutions ... -
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 ... -
Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
(Taylor, Francis Online, 2024)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 ... -
MediNet: transfer learning approach with MediNet medical visual database
(Springer, 2023)The rapid development of machine learning has increased interest in the use of deep learning methods in medical research. Deep learning in the medical field is used in disease detection and classification problems in the ... -
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet plus
(SPRINGER, 2023)Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ... -
A New Approach for Ground Filtering of Airborne Laser Scanning Data Using PointNet++
(Springer, 2023)Ground filtering is an essential process that separates ground and non-ground points for generating digital elevation models (DEMs) from airborne laser scanning (ALS) point cloud data. Traditionally, ground filtering was ... -
Optimization of expropriation costs on the highway projects in Türkiye
(Murat Yakar, 2024)Expropriation is widely used to introduce highway projects into the society. Expropriation is the registration process of real estate and equities owned by natural and legal persons on behalf of the administration for ... -
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 ... -
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 ... -
Remote sensing and monitoring of water resources: A comparative study of different indices and thresholding methods
(Science Direct, 2024 May 2)Water resources are essential for the ecological system and the development of civilization. Water is imperative factor for health preservation and sustaining various human activities, including industrial production, ...