1 citations · 1 across the 6 of their papers we have counts for
6 papers
Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization
Furkan Bagci, Busra Tegin, Mohammad Kazemi +1
Federated learning (FL) enables distributed optimization and learning across decentralized edge devices while preserving data privacy, but its performance is fundamentally constrai…
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Furkan Bagci, Busra Tegin, Mohammad Kazemi +1
We study over-the-air (OTA) federated learning (FL) for energy harvesting devices with heterogeneous data distribution over wireless fading multiple access channel (MAC). To addres…
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…
Semi-Supervised Domain Adaptation for Semantic Segmentation of Roads from Satellite Images
Ahmet Alp Kindiroglu, Metehan Yalçın, Furkan Burak Bağcı +1
This paper presents the preliminary findings of a semi-supervised segmentation method for extracting roads from sattelite images. Artificial Neural Networks and image segmentation…
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…