Browsing Bilgisayar Mühendisliği Bölümü by Publisher "Fen Bilimleri Enstitüsü"
Now showing items 21-40 of 211
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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 ... -
An Enhanced Approach for Malware Detectıon By Utılızıng Computer Vısıon and Memory Forensıc
(Fen Bilimleri Enstitüsü, 2020)The number of advanced malware, which have been released, has increased substantially year after year with the increase in the use of information systems. Due to the ransomware programs, which we have frequently heard ... -
An Improved Device Identifier Composition Engine Architecture to Enhance Internet of Things Security
(Fen Bilimleri Enstitüsü, 2023)The number of Internet-of-Things (IoT) devices has been increasing rapidly every year. Most of these devices have access to important personal data such as health, daily activities, location, and finance. However, these ... -
An In-Depth Analysis of Visual Saliency in Rendered Virtual Reality Environments
(Fen Bilimleri Enstitüsü, 2023-02-03)In virtual reality (VR), visual saliency has been exploited in order to solve different problems in the literature. However, the studies to reveal the underlying mechanism and the potential of visual saliency in VR are ... -
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 ... -
An Rnn-Based Approach for Dıscoverıng Inconsıstencıes Between Permıssıons and Metadata In Androıd Applıcatıons
(Fen Bilimleri Enstitüsü, 2019-09)Since mobile devices are increasingly on hand today, users have become more heavily involved with their use in accessing the Internet. Today, most mobile devices use the Android operating system. On mobile devices, users' ... -
Analysis of Smart City Technologies
(Fen Bilimleri Enstitüsü, 2020)Technology, that cannot be prevented and reaches unbelievable points in the light of science, maintains a modern and technological era by offering great convenience to people in their lives. Smart Systems, Applications, ... -
Analyzing the Effects of Lowlevel Features for Visual Attribute Recognition
(Fen Bilimleri Enstitüsü, 2015)In recent years, visual attributes became a popular topic of computer vision research. Visual attributes are being used on various tasks including object recognition, people search, scene recognition, and so on. In order ... -
Android Uygulama Kurulum Sürecı̇ İçin Verı̇mlı̇ Bir Evrı̇msel Tabanlı Fuzz Testı̇
(Fen Bilimleri Enstitüsü, 2018)Automated tools based on source code analysis used in application development and test phases are insufficient to ensure application security. For this reason, researchers also resort to fuzz testing methods to analyze ... -
Applıcatıon of Defuzzıfıcatıon-Free Hıerarchıcal Fuzzy Inference Rule Generatıon Method to Software Fault Predıctıon Problems and Fuzzy Rule Dıscussıon
(Fen Bilimleri Enstitüsü, 2020)Fuzzy inference systems, a sub-branch of artificial intelligence, are decision support systems based on fuzzy set theory. The knowledge is transmitted to these systems through linguistic fuzzy rules. In general, the rule ... -
Araçsal Tasarsız Ağlar İçin İstatistiksel Tabanlı Bir Saldırı Tespit Yöntemi
(Fen Bilimleri Enstitüsü, 2018)The number of fast-moving devices connected to the internet is increasing day by day. Accordingly, the proposed mobile ad hoc networks are becoming widespread for these mobile devices to communicate with each other. As ... -
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 ... -
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 ... -
Attribute Based Classifiers for Image Understanding
(Fen Bilimleri Enstitüsü, 2017-01-09)Attributes are mid-level semantic concepts which describe visual appearance, functional affordance or other human-understandable aspects of objects and scenes. In the recent years, several works have investigated the use ... -
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 ... -
Automatic WordNet Construction Using Wikipedia Data
(Fen Bilimleri Enstitüsü, 2019-07-02)Building WordNets from comparable corpora is a task that is explored, but especially using Wikipedia for this purpose is not explored in depth. Wikipedia, has a structure that makes it a comparable corpora for lots of ...