Dil "en" Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu için listeleme
Toplam kayıt 124, listelenen: 21-40
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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 ... -
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 ... -
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 ... -
Behavior Analysis Based Protest Event Detection
(Fen Bilimleri Enstitüsü, 2023)Purpose: Social unrest is a phenomenon that occurs in all countries, both developed and poor. The only difference is in the cause of a social unrest and it is mostly economic in underdeveloped countries. The occurrence ... -
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. ... -
Blockchain Based Decentralized Data Management Model for Swarm UAV Systems
(Fen Bilimleri Enstitüsü, 2023)The rapid development of Unmanned Aerial Vehicles (UAVs) and the Internet of Things (IoT) has given rise to new possibilities for decentralized communication and data sharing among connected devices. Swarm UAV systems, in ... -
Blockchain Based Software Project Information Sharing and Estimation System
(Fen Bilimleri Enstitüsü, 2020)Accurate estimations play a significant role in the success of software projects, and companies should have sufficient number of past project data to make these estimations accurate and reliable. Some institutions gather ... -
Boosting Video-Based Person Re-Identification With Synthetic Human Agents
(Fen Bilimleri Enstitüsü, 2019-09)In recent years, research made in person re-identification has gained quite a bit of significance due to the increasing demand from a broad range of application fields with security and surveillance topping the list. A ... -
Comparative Study on Music Source Separation Methods
(Fen Bilimleri Enstitüsü, 2022)Blind source separation is the concept that separates the source signals from the mixture signal. "Blind" means no prior knowledge of the source or the mixing environment. The blind source separation problem is a problem ...