Başlık için Bilgisayar Mühendisliği Bölümü listeleme
Toplam kayıt 171, listelenen: 38-57
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Combinatorial Bees Algorithm for Vehicle Routing Problem
(Wiley, 2021)Vehicle routing problem (VRP) is a combinatorial optimization problem that has been studied intensively for years. Although VRP can be solved using an exact method for small instances, a more complex one will be impractical ... -
Comparision Of Computing Tools For Control Of Future Illumination In Smart Grids
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Gün geçtikçe artan çevresel duyarlık ile beraber elektronik ekipman fiyatlarındaki azalma, yakın gelecekte aydınlatma sistemleri işletiminin ve tasarımının da değişeceği beklentisini oluşturmuştur. Bu çalışmada, akıllı ... -
A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
(Springer, 2023)In this study, we consider the author verification problem as a binary classification problem where the aim is to identify whether the two inputs belong to the same author or not. For this task, we have used several ... -
Comparison of Dimension Reduction Techniques on High Dimensional Datasets
(Zarqa University, 2018)High dimensional data becomes very common with the rapid growth of data that has been stored in databases or other information areas. Thus clustering process became an urgent problem. The well-known clustering algorithms ... -
Computer Aided Brain Tumor Detection with Histogram Equalization and Morphological Image Processing Techniques
(Institute of Electrical and Electronics Engineers (IEEE), 2014)Computer-aided detection (CAD) systems help to radiology experts in mass detection using image processing techniques. This study aims to realize mass detection process on brain MRI (Magnetic Resonance Imaging) images. ... -
Computer-Aided Detection of Lung Nodules Using Outer Surface Features
(IOS Press, 2015)In this study, a computer-aided detection (CAD) system was developed for the detection of lung nodules in computed tomography images. The CAD system consists of four phases, including two-dimensional and three-dimension ... -
Controlling of Five Axis Manipulator with Turkish Voice Commands Using Microcontrollers
(Marmara Üniversitesi, 2018)The interaction between human beings and machines has been increasing in conjunction with the development of computer technology. Controlling a system with voice-based commands is one of the most popular applications in ... -
Dağıtım Sistemine Yerel Elektrik Santrallerinin Yerleştirilmesi
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Artan enerji ihtiyacı ve kısıtlı kaynaklar sürdürülebilir enerji kaynaklarına olan ilgiyi artırmıştır. Güneş pili hücresi, rüzgar türbini, yakıt pili ve hidro türbin gibi sürdürülebilir ve çevreye zararsız enerji teknolojileri ... -
Dağıtım Yönetim Sistemleri
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Mevcut elektrik dağıtım şebekelerinin kontrolünün zorluğu, elektrik dağıtım şebekelerinde enerji verimliliği sağlanması, operasyonel maliyetlerinin düşürülmesi ve bu sayede çevreye katkıda bulunulması için enerji otomasyon ... -
A Deep Learning Based Android Malware Detection System with Static Analysis
(Institute of Electrical and Electronics Engineers Inc., 2022)In recent years, smart mobile devices have become indispensable due to the availability of office applications, the Internet, game applications, vehicle guidance or similar most of our daily lives applications in addition ... -
Deep Learning based Malware Detection for Android Systems: A Comparative Analysis
(Sveuciliste Josipa Jurja Strossmayera u Osijeku, 2023)Nowadays, cyber attackers focus on Android, which is the most popular open-source operating system, as main target by applying some malicious software (malware) to access users' private information, control the device, ... -
A Deep Learning Model for Automated Segmentation of Fluorescence Cell images
(IOP Publishing Ltd, 2021)Deep learning techniques bring together key advantages in biomedical image segmentation. They speed up the process, increase the reproducibility, and reduce the workload in segmentation and classification. Deep learning ... -
Deep Learning With Class-Level Abstract Syntax Tree and Code Histories for Detecting Code Modification Requirements
(Elsevier, 2023)Improving code quality is one of the most significant issues in the software industry. Deep learning is an emerging area of research for detecting code smells and addressing refactoring requirements. The aim of this study ... -
DeepCAN: A Modular Deep Learning System for Automated Cell Counting and Viability Analysis
(IEEE, 2022)Precise and quick monitoring of key cytometric features such as cell count, cell size, cell morphology, and DNA content is crucial for applications in biotechnology, medical sciences, and cell culture research. Traditionally, ... -
Derin Sinir Ağları Kullanarak Medikal Görüntü Bölütleme
(IEEE, 2021)Medikal görüntülerin otomatik bölütlenmesi, bu görüntüler kullanılarak çeşitli hastalıkların teşhis edilmesinde önemli bir rol oynamaktadır. Görüntü bölütleme, bir çok medikal görüntüye ayrı ayrı uygulanarak farklı ... -
Design of Decision Support System in the Metastatic Colorectal Cancer Data Set and Its Application
(Bajece, 2016)Developing the system which will help doctors with the result to be obtained from the medical data sets by realizing the design of the medical decision support system in which data mining methods are used is the primary ... -
Detecting SQL Injection Attacks by Binary Gray Wolf Optimizer and Machine Learning Algorithms
(Springer, 2024)SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the application’s database. SQL injection attacks can be detected using machine learning algorithms. ... -
Detecting Suspicious Activities of Digital Trolls During the Political Crisis
(IEEE, 2020)With the huge widespread and usage of social media in our life, it becomes an effective tool to share our feeling, opinions and even our political orientations when there is civil unrest or protests. As a result, there ... -
Development of Asset Health Indices based on Dynamic Condition Parameters in Smart Grids: An Application to High Voltage Gas Insulated Switchgears
(T.C. Bilim, Sanayi ve Teknoloji Bakanlığı, 2014-05)Defining asset condition is a key aspect in effectively managing smart grid assets. With the development of recent advanced technologies on monitoring and diagnostics systems for electrical assets, several data can be ... -
Differential Evolution-Based Neural Architecture Search for Brain Vessel Segmentation
(Elsevier, 2024)Brain vasculature analysis is critical in developing novel treatment targets for neurodegenerative diseases. Such an accurate analysis cannot be performed manually but requires a semi-automated or fully-automated approach. ...
