Ara
Toplam kayıt 92, listelenen: 81-90
In and End of Season Soybean Yıeld Predıctıon Wıth Hıstogram Based Deep Learnıng
(Fen Bilimleri Enstitüsü, 2022)
Depending on climate change and global warming, the yield obtained from agricultural activities is gradually affected. Farmers, government institutions, agricultural insurances need applications that can provide decision ...
Assessment of Machine Learning Methods for Mass Real Estate Appraisal
(Fen Bilimleri Enstitüsü, 2022)
In this thesis, the use of machine learning (ML) approaches for the purpose of real estate mass appraisal was investigated using five different methods in a large area considering the efficiency, accuracy, and transparency. ...
Development of A Deep Learnıng Assısted Webgıs Framework for Updatıng Buıldıng Databases
(Fen Bilimleri Enstitüsü, 2022)
The diversity of the methods for geodata collection has increased significantly in recent years. The need for automated approaches for updating geodatabases has also increased in parallel to this development. In addition ...
Object-Based Urban Land Cover Extraction Using the Synergy of Lidar Data and Very High Resolution Multispectral Imagery
(Fen Bilimleri Enstitüsü, 2023-04)
Up-to-date urban land cover information plays a critical role for urban planning and
management. In this study, an approach was presented for classifying urban land cover
types using the integration of very high ...
Havalimanı Ağaç Mânialarının Tespiti ve İncelenmesi: Tokat Örneği
(Fen Bilimleri Enstitüsü, 2023-03)
One of the most important factors to consider when establishing an airport is the natural
and artificial structures inside and outside the airport. These natural and artificial factors
may cause the limitation of take-off ...
A Hybrid Strategy for Generating Digital Terrain Model From Dense Digital Surface Model Using Cloth Simulation Filter and Total Variation Regularization
(Fen Bilimleri Enstitüsü, 2022)
A Digital Elevation Model (DEM) is a general term used to express the virtual representation of the height values of the Earth's surface. Two of the most widely used DEM types are Digital Surface Model (DSM) and Digital ...
Automatic Reconstruction and Efficient Visualization of 3D City Models
(Fen Bilimleri Enstitüsü, 2023-04-19)
Today, migration from rural areas, continuous change in cities and the increasing complexity of their structure yielded the need of new methods to increase efficiency in their management. The demand for 3 dimensional (3D) ...
EcoSnap: A Mobile Application for Enhancing Governance and Addressing Environmental Issues in Smart Cities
(Fen Bilimleri Enstitüsü, 2023)
With the increasing population and urbanization, urban planning has become a complex and challenging task. In recent years, the concept of smart cities has emerged as a potential solution to these challenges by integrating ...
Comparison of Single, Dual and Triple Frequency Cycle-Slip Detection Methods for Multi-GNSS
(Fen Bilimleri Enstitüsü, 2023-09-14)
Global Navigation Satellite Systems (GNSS) is now widely recognized as a revolutionary invention in navigation and precise positioning on the Earth. The development of positioning systems from space, which started with GPS ...
SAR ve optik uydu verileri kullanılarak taşkın haritalamasi için füzyon yöntemi geliştirilmesi
(Fen Bilimleri Enstitüsü, 2023)
In this thesis, a feature-level data fusion methodology was developed using the random forest (RF) approach, which is one of the frequently utilized machine learning methods for natural hazard assessments. For this purpose, ...