Browsing Bilgisayar Mühendisliği Bölümü by Language "en"
Now showing items 1-20 of 118
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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 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 Goal-Driven Evaluation Method Based on Process Mining for Healthcare Processes
(Mdpi, 2018)As a business processes management technique, process mining (PM) has been applied in many domains in the last decade. In healthcare, where most processes are complex, variable, dynamic, and multi-disciplinary in nature, ... -
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 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 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 Tool for Automated Inspection of Software Design Documents and its Empirical Evaluation in an Aviation Industry Setting
(Ieee, 2016)While software inspection is an effective activity to detect defects early in the software development lifecycle, it is an effort-intensive and error-prone activity. Motivated by a real need in the context of the Turkish ... -
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 ... -
A Weighted Rule Based Method for Predicting Malignancy of Pulmonary Nodules By Nodule Characteristics
(Academic Press Inc Elsevier Science, 2015)Predicting malignancy of solitary pulmonary nodules from computer tomography scans is a difficult and important problem in the diagnosis of lung cancer. This paper investigates the contribution of nodule characteristics ... -
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 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 ... -
Anti-Ramsey Number of Matchings in Hypergraphs
(Elsevier Science Bv, 2013)A k-matching in a hypergraph is a set of k edges such that no two of these edges intersect. The anti-Ramsey number of a k-matching in a complete s-uniform hypergraph H on n vertices, denoted by ar(n, s, k), is the smallest ... -
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 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 ...
