Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu
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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 ... -
A TIME-BASED INTUITIVE PATH PLANNING ON LARGE-SCALE CROWD SIMULATION 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 ... -
ESTIMATING INSTRUMENTATION DATA ACQUIRED DURING FLIGHT TEST FROM A HELICOPTER ENGINE USING PREDICTOR 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 ... -
DEVELOPING A TOOL THAT CONVERTS A PROCESS MODEL INTO A BPMN DATA MODEL BY MINING FROM MULTIPLE PERSPECTIVES
(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, ... -
CONGESTION-AWARE ADAPTIVE ROUTING ALGORITHM DESIGN FOR 3D NETWORK-ON-CHIP
(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 ... -
AN INVESTIGATION OF FACTORS AFFECTING THE ADOPTION 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 ... -
ARTIFICIAL INTELLIGENCE BASED FLEXIBLE PREAMBLE ALLOCATION FOR RADIO ACCESS NETWORK SLICING IN 5G NETWORKS
(Fen Bilimleri Enstitüsü, 2021)One of the most difficult challenges in Radio Access Network (RAN) slicing occurs in the connection establishment phase where multiple devices use a common Random Access Channel (RACH) to gain access to the network. It is ... -
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 ... -
MODELING OF THE IONOSPHERE'S DISTURBANCE USING DEEP LEARNING TECHNIQUES
(Fen Bilimleri Enstitüsü, 2021-09-14)The ionosphere drives an essential role in the atmosphere and earth. Solar flares due to coronal mass ejection, seismic movements, and geomagnetic activity cause deviations in the ionosphere. The main parameter for ... -
SPATIO-TEMPORAL EARTHQUAKE PREDICTION WITH 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 ... -
A BPMN DATA MODEL TO KEEP A MULTI-PERSPECTIVE PROCESS MODEL ON THE BLOCKCHAIN
(Fen Bilimleri Enstitüsü, 2021)Among the various data mining techniques, Process Mining is one of the techniques dedicated to analyzing the operational processes based on event logs to improve them. By discovering the process and checking the conformance, ... -
DERİN ÖĞRENME-BAZLI BİLGİSAYARLI GÖRE MODELLERİNİN EĞİTİMİ VE DEĞERLENDİRİLMESİ İÇİN SENTETİK VERİ ÜRETİMİ
(Fen Bilimleri Enstitüsü, 2021-06-07)The recent great success witnessed in computer vision field in solving high-level vision tasks such as visual object tracking, semantic segmentation, instance segmentation, and optical flow recognition is predominantly ... -
A Tool For Selecting Suitable Software Project Effort Estimation Model At Early Phases
(Fen Bilimleri Enstitüsü, 2021)Effort estimation is one of the important factors affecting the success of software projects. In order to support this, many effort estimation methods have been developed from past to present. The reliability of the effort ... -
Comparison of Control System Design Methods for a Bank-to-Turn Missile
(Fen Bilimleri Enstitüsü, 2021)In a bank-to-turn flight, cross-coupling dynamics are excited even more, compared to a skid-to-turn flight and these dynamics violate some of the assumptions that are made during the linearization of the system model. ... -
Mikroservisler için Verimli Yerleştirme Alternatiflerinin Türetilmesi
(Fen Bilimleri Enstitüsü, 2021)Microservice architecture is a popular approach that relies on modular software components that are loosely coupled, operate with a single functionality that can be independently deployed and communicate with each other ... -
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 ... -
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 ... -
YENİ NESİL ACAS X SİMÜLASYONU
(Fen Bilimleri Enstitüsü, 2021)In the near future, when air traffic will gain a new dimension, many light weight platforms like unmanned aerial vehicles and more advanced technologies for existing aircraft will appear in the sky in addition to the current ... -
Effective and Efficient Parallelization of String Matching Algorithms Using GPGPU Accelerators
(Fen Bilimleri Enstitüsü, 2020)String matching is one of the oldest and actively studied problems in computer science. It has applications in computer security, bio-informatics, social media processing, data mining, data compression, coding theory, and ... -
Neural Dependency Parsıng For Turkısh
(Fen Bilimleri Enstitüsü, 2020-06)Dependency Parsing is the task of finding the grammatical structure of a sentence by identify- ing syntactic and semantic relationships between words. The current accuracy of the depen- dency parsers is still not satisfying ...
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