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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 ...
Tales of Turbulence: BERT-Based Multimodal Analysis of FED Communication Dynamics Amidst COVID-19 through FOMC Minutes
(Fen Bilimleri Enstitüsü, 2023-09)
Although communication of the central banks with the market was still quite limited at the end of the 20th century, and the authorities had agreed that policymakers should hold a more secretive attitude, this situation ...
Artificial Intelligence Applications in Early Diagnosis of Sepsis Disease
(Fen Bilimleri Enstitüsü, 2023)
Sepsis is a major cause of death in intensive care units worldwide. Early diagnosis and
treatment are crucial for improving patient survival and reducing organ dysfunction.
Combining sepsis research and computer science ...
Integration Testing Maturity Assessment for Safety Critical Avionics Software
(Fen Bilimleri Enstitüsü, 2023)
Safety-critical software failures lead to serious results such as loss of live or damage to the environment; therefore, safety-critical software verification requires special attention. Avionics system software is one type ...
Addressing the Data Diversity Gap With Uniquely Generated Synthetic Vıdeos for Real-World Human Action Recognition
(Fen Bilimleri Enstitüsü, 2023)
Recognition of human actions using machine learning requires substantial datasets to develop robust models. However, obtaining such real-world data is challenging because it is a costly and time-consuming process. In ...
Weakly-Supervised Relation Extraction
(Fen Bilimleri Enstitüsü, 2023)
Relation extraction is a crucial element for numerous natural language processing applications, including text summarization and question answering. It is noteworthy that there are diverse methodologies for relation ...
Blockchain Based Decentralized Data Management Model for Swarm UAV Systems
(Fen Bilimleri Enstitüsü, 2023)
The rapid development of Unmanned Aerial Vehicles (UAVs) and the Internet of Things (IoT) has given rise to new possibilities for decentralized communication and data sharing among connected devices. Swarm UAV systems, in ...
Behavior Analysis Based Protest Event Detection
(Fen Bilimleri Enstitüsü, 2023)
Purpose: Social unrest is a phenomenon that occurs in all countries, both developed and
poor. The only difference is in the cause of a social unrest and it is mostly economic in
underdeveloped countries. The occurrence ...