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Toplam kayıt 76, listelenen: 31-40
Hibrit Analiz Kullanarak Android Kötücül Yazılım Aile Sınıflandırması
(Fen Bilimleri Enstitüsü, 2021-12-31)
With the developments in mobile and wireless technology, mobile devices have become an important part of our lives. While Android is the leading operating system in the market share, it is also the most targeted platform ...
Reinforcement Learning based Adaptive Access Class Barring for RAN Slicing in 5G Networks
(Fen Bilimleri Enstitüsü, 2021-09-28)
Machine-to-Machine (M2M) communication is one of the major drivers of 5G networks as M2M traffic might soon surpass Human-to-Human (H2H) traffic. Network slicing is a promising technique for supporting M2M traffic on 5G ...
An Investıgatıon Of Factors Affectıng The Adoptıon Of Do-200a Standard
(Fen Bilimleri Enstitüsü, 2021-04-30)
Software organizations can use standards in the software field in order to reach their targeted quality level, to be a legal requirement or to increase their market shares in line with the accreditation or certification ...
Automatic Generation of Scientific Terminology with Deep Learning
(Fen Bilimleri Enstitüsü, 2021)
Automatic term extraction is an essential task in natural language processing. In this thesis, we work on terminology extraction for two purposes. The first aim is to measure inconsistency of scientific terminology for ...
Estımatıng Instrumentatıon Data Acquıred Durıng Flıght Test From A Helıcopter Engıne Usıng Predıctor Models
(Fen Bilimleri Enstitüsü, 2021)
Flight test of a helicopter is the most dangerous phase of its development project. Any minor mistake or miscalculation during a test could lead to a catastrophic accident. In order to protect the health of a helicopter ...
Congestıon-Aware Adaptıve Routıng Algorıthm Desıgn for 3d Network-On-Chıp
(Fen Bilimleri Enstitüsü, 2021-06)
New communication methods have become inevitable due to the continuous increase in the number of components on the integrated circuits. Designers, who prioritize performance, scalability, power consumption need better ...
Developıng a Tool That Converts a Process Model Into a Bpmn Data Model By Mınıng From Multıple Perspectıves
(Fen Bilimleri Enstitüsü, 2021)
Process mining is mainly focused on process discovery, and also replay techniques to check conformance and analyze bottlenecks. It is further applied to mine the other process perspectives, such as time, data, and resources, ...
EEG-Based Assessment of Cybersickness in a VR Environment and Adjusting Stereoscopic Parameters According to Level of Sickness to Present a Comfortable Vision
(Fen Bilimleri Enstitüsü, 2020)
Virtual reality (VR) is an increasingly widespread technology that provides a more realistic and fully immersive experience by using head-mounted displays (HMDs). However, this medium comes with some side effects. Users ...
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
(Fen Bilimleri Enstitüsü, 2021)
Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ...
Spatıo-Temporal Earthquake Predıctıon Wıth Structural Recurrent Neural Networks
(Fen Bilimleri Enstitüsü, 2021)
The earthquake prediction problem can be defined as a given a minimum Richter magnitude scale and a specified geographic region, predicting the possibility of an earthquake in that region within a time interval. This is a ...