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Toplam kayıt 6, listelenen: 1-6
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 ...
Automatic extraction of trees by using multiple return properties of the lidar point cloud
(2021)
Airborne laser scanning has been a valuable tool for forestry applications since it began to be used commercially. Thanks to the high 3D resolution provided by the Light Detection and Ranging (LiDAR) point cloud, it has ...
AUTOMATIC EXTRACTION OF BUILDING BOUNDARIES FROM HIGH RESOLUTION IMAGES WITH ACTIVE CONTOUR SEGMENTATION
(2018)
Building extraction from remotely sensed images plays an important role in many applications such as updating geographical information system, change detection, urban planning, disaster management and 3D building modeling. ...
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 ...
Seismic Disturbances and Geodetic Effects: Unraveling the Impact of the Mw = 6.2 Petrinja Earthquake on the Croatian Positioning System CROPOS
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)
A destructive Mw = 6.2 earthquake struck NW Croatia on 29 December 2020, ranking among the most hazardous events in the country in the last century. This study assesses the impact of the earthquake on the permanent geodetic ...
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 ...