2 citations · 3 across the 6 of their papers we have counts for
6 papers
Point Cloud Segmentation Using Transfer Learning with RandLA-Net: A Case Study on Urban Areas
Alperen Enes Bayar, Ufuk Uyan, Elif Toprak +3
Urban environments are characterized by complex structures and diverse features, making accurate segmentation of point cloud data a challenging task. This paper presents a comprehe…
Large-Scale Cell-Level Quality of Service Estimation on 5G Networks Using Machine Learning Techniques
M. Tuğberk İşyapar, Ufuk Uyan, Mahiye Uluyağmur Öztürk
This study presents a general machine learning framework to estimate the traffic-measurement-level experience rate at given throughput values in the form of a Key Performance Indic…
Building Segmentation on Satellite Images and Performance of Post-Processing Methods
Metehan Yalçın, Ahmet Alp Kindiroglu, Furkan Burak Bağcı +2
Researchers are doing intensive work on satellite images due to the information it contains with the development of computer vision algorithms and the ease of accessibility to sate…
5G Long-Term and Large-Scale Mobile Traffic Forecasting
Ufuk Uyan, M. Tugberk Isyapar, Mahiye Uluyagmur Ozturk
It is crucial for the service provider to comprehend and forecast mobile traffic in large-scale cellular networks in order to govern and manage mechanisms for base station placemen…
Building Height Prediction with Instance Segmentation
Furkan Burak Bagci, Ahmet Alp Kindriroglu, Metehan Yalcin +2
Extracting building heights from satellite images is an active research area used in many fields such as telecommunications, city planning, etc. Many studies utilize DSM (Digital S…
Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions
Metehan Yalçın, Ahmet Alp Kındıroğlu, Furkan Burak Bağcı +2
Transfer Learning methods are widely used in satellite image segmentation problems and improve performance upon classical supervised learning methods. In this study, we present a s…