Başlık için Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu listeleme
Toplam kayıt 212, listelenen: 6-25
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A Machıne Learnıng Approach For The Detectıon Of Trade Based Manıpulatıons In Borsa İstanbul
(Fen Bilimleri Enstitüsü, 2022)Capital markets, one of the pillars of the financial system, play a vital role in transferring the excess funds of savers to investors who need funds in the medium and long term. Trust is essential for the safe and effective ... -
A Method For Selectıng Regressıon Test Cases Based On Software Changes And Software Faults
(Fen Bilimleri Enstitüsü, 2019)Regression testing is the type of testing in which a modified software is validated to ensure its functionality is not broken. With the increase of modern, agile and large size software systems, regression test selection ... -
A Multı-Instance Based Learning System for Scene Recognition
(Fen Bilimleri Enstitüsü, 2015)Scene recognition is a frequently-studied topic of computer vision. The aim in scene recognition is to predict the general environment label of a given image. Various visual elements contribute to the characterization of ... -
A New Metric for Adaptive Routing in Mobile Ad Hoc Networks
(Fen Bilimleri Enstitüsü, 2014)Mobile Ad-Hoc networks (MANETs) have become very popular for military applications,disaster recovery operations in which the fixed network infrastructure might not be availabledue to wars, natural disasters, and the like. ... -
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 ... -
A Novel Multivariate Discretization Algorithm Using Dynamic Programming
(Fen Bilimleri Enstitüsü, 2023-01)Discretization is the task of converting quantitative (continuous) numerical data into qualitative (categorical) by assigning them into non-overlapping intervals. It is an important step in reducing the complexity of data ... -
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 ... -
A Quality Evaluation Meta-Model for Open Source Software
(Fen Bilimleri Enstitüsü, 2023)In recent years, Open Source Software (OSS) has gained an increasing attention due to its voluntary supporters, growing community, no vendor lock-in, low total cost of ownership, and ease of accessibility in cloud repositories. ... -
A Robust Method To Identify Overlapping Crowd Motion Patterns
(Fen Bilimleri Enstitüsü, 2017)Due to recent advances in new camera technologies and the Internet, millions of videos can be easily accessed from any place at any time. A significant amount of these videos are for surveillance, and include actors such ... -
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 ... -
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 ... -
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 ... -
Acil Servis Sürecinin Sistem Dinamiği Simülasyon Yöntemiyle Analizi
(Fen Bilimleri Enstitüsü, 2019-06)The emergency department, which is one of the most significant units of hospitals, offers health services to patients 7 days 24 hours. It is vital that emergency services provide uninterrupted service effectively and ... -
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 ... -
AÇIK KAYNAK YAZILIMLARDA BAKIM YAPILABİLİRLİĞİ VE GÜVENİLİRLİĞİ ÖLÇMEK İÇİN İKİ BOYUTLU DEĞERLENDİRME METODU
(Fen Bilimleri Enstitüsü, 2017)Increased popularity of open source software (OSS) has led to a considerable proliferation of alternative software. However, this being the case, an evident lack of studies that would contribute to evaluation of OSS by ... -
Açık Kaynak Yazılım Projeleri İçin İçsel Ürün Özelliklerine ve Metriklerine Dayalı Bir Test Edilebilirlik Analizi Yöntemi
(Fen Bilimleri Enstitüsü, 2019)Open source software has gained importance and popularity over the last decades. In this sense, high quality open source software products are demanded by developers and users. Software quality is a multi-dimensional concept ... -
Adaptif Öğrenme Tabanlı Güven Değeri Kullanılarak Blokzincirin Ölçeklenmesi
(Fen Bilimleri Enstitüsü, 2020)Scalability has become a challenging problem for blockchain technology. Consensus algorithm selection is critical for the practical solution of the scalability problem. Byzantine Fault Tolerance (BFT) based methods have ... -
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 ... -
An Attention Based Deep Neural Network Architecture for Identification of Phishing URLS Through Character Level N-Gram Embeddings
(Fen Bilimleri Enstitüsü, 2022-06-24)Despite the various technological advancements that have been made in the fight against phishing attacks, the problem still remains one of the most common threats in the cybersecurity domain. Due to the increasing number ... -
An End-To-End Convolutional Neural Network Framework For Low-Resolution Attribute Recognition
(Fen Bilimleri Enstitüsü, 2022)In video surveillance, visual person attributes such as gender, backpack, and type of clothing are crucial for searching and re-identification. For detecting and retrieving these attributes with high accuracy, the availability ...