30 citations · 80 across the 16 of their papers we have counts for
17 papers
Evaluation of YOLO Models with Sliced Inference for Small Object Detection
Muhammed Can Keles, Batuhan Salmanoglu, Mehmet Serdar Guzel +2
Small object detection has major applications in the fields of UAVs, surveillance, farming and many others. In this work we investigate the performance of state of the art Yolo bas…
A new Video Synopsis Based Approach Using Stereo Camera
Talha Dilber, Mehmet Serdar Guzel, Erkan Bostanci
In today's world, the amount of data produced in every field has increased at an unexpected level. In the face of increasing data, the importance of data processing has increased r…
Analysis of Interpolation based Image In-painting Approaches
Mustafa Zor, Erkan Bostanci, Mehmet Serdar Guzel +1
Interpolation and internal painting are one of the basic approaches in image internal painting, which is used to eliminate undesirable parts that occur in digital images or to enha…
Geant4 based Dosimetry Evaluation for Gamma Knife using Different Phantom Materials
Ozlem Dagli, Erkan Bostanci, Omer Hakan Emmez +3
This study analyses the dose difference for a variety of phantom materials that can be used for Leksell Gamma Knife. These materials have properties that are very similar to the hu…
Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques
Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel
With the increasing use of the internet and social media, it is obvious that cyberbullying has become a major problem. The most basic way for protection against the dangerous conse…
Machine Translation, Sentiment Analysis, Text Similarity, Topic Modelling, and Tweets: Understanding Social Media Usage Among Police and Gendarmerie Organizations
Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel
It is well known that social media has revolutionized communication. Nowadays, citizens, companies, and public institutions actively use social media in order to express themselves…