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Now showing items 191-199 of 199
A Novel Communicatıon Protocol Design For Internet Of Flying Things
(Fen Bilimleri Enstitüsü, 2023)
In this thesis a new communication protocol, Message Queuing Telemetry Transport Extended (MQTT-XT) is proposed for the Internet of Flying Things (IoFT) network. The main objective of the proposed protocol is to enable ...
Multi-Objective Approach for Intrusion Detection in RPL-Based Internet of Things
(Fen Bilimleri Enstitüsü, 2023)
In the last decade, humanity has witnessed a tremendous increase in the number of life-saving applications such as smart home or automated industrial systems. This is mainly due to recent advances in resource-constrained ...
Flight Maneuver Classification Using Artificial Neural Networks
(Fen Bilimleri Enstitüsü, 2023)
There are globally known basic flight maneuvers performed by fighter and aerobatics pilots
with agile aircraft. These basic flight maneuvers have strict rules that the pilots should
follow to complete the maneuver and ...
Developing A Turkish Sentiment Lexicon Using Tone Distributions
(Fen Bilimleri Enstitüsü, 2022)
With the developing technology and increasing use of the internet, many sources of data have been exposed to researchers. Analysis and extraction of meaningful information from this data is a research topic under the field ...
The Relationship of Cybersickness with Eye and Brain Activity in Response to Varying Speed, Scene Complexity and Stereoscopic VR Cues
(Fen Bilimleri Enstitüsü, 2022)
In this study, our aim is to make an evaluation of the interplay between environment-based cues, namely speed, scene complexity and stereoscopic rendering parameters, and the discomfort felt in the form of cybersickness ...
Monocular Depth Estimation with Self-Supervised Representation Learning
(Fen Bilimleri Enstitüsü, 2022)
Many representation and modalities are developed for better scene understanding as images, videos, point clouds, etc. In this thesis, we intentionally characterize scene representation as depth maps in order to leverage ...
Recognizing Human Actions from Images with Attention Mechanism
(Fen Bilimleri Enstitüsü, 2022-05)
Human action recognition in still images is a challenging problem due to the lack of complete motion compared to videos. A single snippet of the ongoing action does not compete with the rich information provided by a video. ...
Actıon Qualıty Assessment Wıth Multıvarıate Tıme Serıes
(Fen Bilimleri Enstitüsü, 2022)
Action quality assessment using computerized methods is considered to be a promising direction in objective evaluation of actions in several domains including health, sport and education. In a typical architecture for ...
Real-Time Radar Tracking System With Deep Learning
(Fen Bilimleri Enstitüsü, 2023)
Real-time data tracking plays an essential role in the flight test processes of an aircraft. The data flowing from the aircraft to the ground control center must be real-time and uninterrupted. However, sometimes ground ...