Başlık için Bilgisayar Mühendisliği Bölümü listeleme

Dağıtım Sistemine Yerel Elektrik Santrallerinin Yerleştirilmesi

Şeker, Ayşe Aybike; Hocaoğlu, Mehmet Hakan (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

Taşdirek, Aybüke; İsbitiren, Gökhan (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

Bayazit, Esra Calik; Sahingoz, Ozgur Koray; Dogan, Buket (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

Bayazıt, Esra Çalık; Şahingöz, Özgür Koray; Doğan, Buket (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

Aydın, Musa; Kiraz, Berna; Eren, Furkan; Uysallı, Yiğit; Morova, Berna; Özcan, Selahattin Can; Acılan, Ceyda; Kiraz, Alper (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

Büyük, O.O.; Nizam, Ali (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

Eren, Furkan; Aslan, Mete; Kanarya, Dilek; Uysallı, Yigit; Aydin, Musa; Kiraz, Berna; Aydın, Ömer; Kiraz, Alper (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

Aydın, Musa (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

Pala, Tuba; Çamurcu, Ali Yılmaz (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

Arasteh, Bahman; Aghaei, Babak; Farzad, Behnoud; Arasteh, Keyvan; Kiani, Farzad; Torkamanian-Afshar, Mahsa (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

Sahmoud, Shaaban; Safi, Hayder (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

Celik, Serdar; Kaiser, Norbert (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 ...