Browsing Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu by Language "en"
Now showing items 1-20 of 111
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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, ... -
A Computationally Efficient Heuristic Algorithm For Piecewise Linear Regression
(Fen Bilimleri Enstitüsü, 2023)Regression analysis is a method used to model the relationship between the dependent variables and the independent variable in the data, and to predict the dependent variable from the independent variables in the future ... -
A Cross-Layer Intrusıon Detectıon System For Rpl-Based Internet Of Thıngs
(Fen Bilimleri Enstitüsü, 2020)Internet of Things (IoT) is a heterogeneous network of constrained devices connected both to each other and to the Internet. Since the significance of the IoT has risen remarkably in recent years, a considerable amount of ... -
A Decision Analysis Approach for Selecting Software Defect Prediction Method in the Early Phases
(Fen Bilimleri Enstitüsü, 2022-06)Considering that software usage rates have increased, it is inevitable for end-users to prefer high-quality software products. Undoubtedly, one of the most important quality indicators of a software product is its defect ... -
A Hybrid and Reliable Method Integrating Depth and Technical Analysis with Machine Learning Techniques for Predicting Stock Prices
(Fen Bilimleri Enstitüsü, 2019)It is quite complicated and difficult to predict the price changes direction of stock, because of the price changes of stock are non-linear. Some statistical methods are used to estimate these price changes direction, but ... -
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 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 ... -
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 ... -
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 ...
