Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu
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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 ... -
Gelişmiş Sinyal İşleme için Verimli Heterojen Paralel Hesaplama
(Fen Bilimleri Enstitüsü, 2022)In this thesis, power-efficient, real-time, parallel applications are designed which aims to reduce increased computational overhead of advanced signal processing algorithms compared to conventional signal processing ... -
Evaluatıng the Use of Neural Rankıng Methods in Search Engınes
(Fen Bilimleri Enstitüsü, 2022)A search engine strikes a balance between effectiveness and efficiency to retrieve the best documents in a scalable way. Recent deep learning-based ranker methods prove effective and improve state of the art in relevancy ... -
Kurumsal Kaynak Planlama Yazılımı Geliştirme İçin Alan Özgü Olgunluk Modeli
(Fen Bilimleri Enstitüsü, 2021)Enterprise Resource Planning (ERP) is an integrated management system that enables efficient use of resources such as labor, machinery and materials required for the production of goods and services in enterprises. ERP ... -
Benchmarkıng Hındsıght Experıence Replay Reınforcement Learnıng Methods On Vehıcle Parkıng Envıronment
(Fen Bilimleri Enstitüsü, 2022-01)In the age we live in, both passenger transportation and freight transportation are of great importance. Parking the vehicles when they reach the target point is challenging for both humans and automatic parking systems. ... -
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, ... -
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 ... -
Temporal Anomaly Localızatıon In Vıdeo
(Fen Bilimleri Enstitüsü, 2021-10-14)Detecting anomalies in surveillance videos is an important research problem in computer vision. In this thesis, we propose two deep network architectures for anomaly detection, Anomaly Detection Network (ADNet) and Anomaly ... -
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 ... -
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 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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
Modelıng Of The Ionosphere's Dısturbance Usıng Deep Learnıng Technıques
(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 ... -
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 ... -
A Bpmn Data Model to Keep A Multı-Perspectıve Process Model on The Blockchaın
(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, ...
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