Ara
Toplam kayıt 47, listelenen: 21-40
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 ...
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 ...
Acil Servislerde Minor Kafa Travmaları ve Sonuçları
(Tıp Fakültesi, 2021-09-03)
Bicek G. Minor Head Injuries and Outcomes in the Emergency Departments, Hacettepe University Faculty of Medicine, Thesis of Emergency Medicine. Ankara, 2021. Though outcomes of the minor head injuries (MHI) were considered ...
Effıcıent Implementatıon Of Sımplıfıed Aes And Its Sıde-Channel Analysıs
(Fen Bilimleri Enstitüsü, 2022-01-17)
Lightweight cryptography is gaining momentum as the number of connected Internet of Things (IoT) devices in the world is expected to reach beyond 50 billion by 2030. With all that massive amount of connectivity, the demand ...
Elektrik Piyasasında Talep Katılımı için Bir Süreç Değerlendirme Modelinin Geliştirilmesi
(Fen Bilimleri Enstitüsü, 2022-01)
Demand response (DR) is a new study area and many countries intend to create roadmaps to activate their implementations. The Smart Grid Maturity Model (SGMM) defines the characteristics and targets related the customer, ...
Offensive Language Detection in Turkish Twitter Data with BERT Models
(Fen Bilimleri Enstitüsü, 2022)
As insulting statements become more frequent on online platforms, these negative statements create a reaction and disturb the peace of society. Identifying these expressions as early as possible is important to protect the ...
Online Time Delay and Disturbance Compensation for Linear Non Minimum Phase Systems
(Fen Bilimleri Enstitüsü, 2021)
Disturbances often occur in real systems and this has a negative effect on system
stability and performance. In the past, a number of remedies have been proposed to
enhance the stability and performance characteristics ...
A Tıme-Based Intuıtıve Path Plannıng On Large-Scale Crowd Sımulatıon Models
(Fen Bilimleri Enstitüsü, 2021)
Traditional management models of intersections, such as no-light intersections or signalized intersection, are not the most effective way of passing the intersections if the vehicles are intelligent. To this end, Dresner ...
Learning Sign Languages with Limited Supervision and Semantic Representations
(Fen Bilimleri Enstitüsü, 2022-06)
Sign languages evolve and change over time, much like spoken languages. It is impractical to annotate the signs of a sign language for supervised learning. Scalable recognition modalities are needed for SLR especially for ...
A Sample Verification and Validation Framework for Open Source Simulation Software
(Fen Bilimleri Enstitüsü, 2022)
Verification and Validation (V&V) activities performed in the life cycle of a software project are necessary to meet technical specifications and requirements. Likewise, V&V activities in a simulation project's life cycle ...
Keyframe Extraction Using Linear Rotation Invariant Coordinates
(Fen Bilimleri Enstitüsü, 2022)
Today, with the improvements in the processing power of video cards, SOC hardware, and smartphones, the use of 3D motion data has expanded considerably beyond video games. At the same time, through these developments, the ...
Yonga-Üstü-Ağlar için Uygulamaya Özgü Yeniden Yapılandırılabilir Topoloji Tasarımı
(Fen Bilimleri Enstitüsü, 2020)
The rapid reduction in integrated circuit dimensions makes it possible to place more components on a single chip in each generation. While the increase in components requires a better communication mechanism than traditional ...
Learning Heuristics Towards Solving Combinatorial Optimization Problems
(Fen Bilimleri Enstitüsü, 2022)
We introduce a learning framework towards the approximation of the maximum clique enumeration problem. We make use of node classification to eliminate the least likely nodes to be in a maximum clique and reduce the input ...
A Plagiarism Detection System Based on POS Tag N-Grams
(Fen Bilimleri Enstitüsü, 2022)
It is a common problem to find similar parts in two different documents or texts. Especially, a text suspected of plagiarism is likely to have similar characteristics with the source text. Plagiarism is defined as taking ...
MIWGAN-GP: Missing Data Imputation using Wasserstein Generative Adversarial Nets with Gradient Penalty
(Fen Bilimleri Enstitüsü, 2022)
The success and dependability of IoT applications are heavily dependent on data quality. Due to hardware problems, synchronization challenges, inconsistent network connectivity, and manual system shutdown, produced data ...