Bölüm "FSM Vakıf Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü" WOS İndeksli Yayınlar / WOS Indexed Publications için listeleme
Toplam kayıt 72, listelenen: 1-20
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An Adaptive Feature Extraction Method for Classification of Covid-19 X-Ray Images
(Springer Science and Business Media Deutschland GmbH, 2022)This study aims to detect Covid-19 disease in the fastest and most accurate way from X-ray images by developing a new feature extraction method and deep learning model . Partitioned Tridiagonal Enhanced Multivariance ... -
Akıllı Nesneler İçin Fiziksel Saldırı Tespiti
(IEEE, 2018)Nesnelerin İnterneti akıllı Dünya vizyonuyla hayatın her alanında yeni ürün ve hizmetleriyle girmektedir. Geleneksel diğer bilinen cihazların aksine akıllı nesneler evde, işte veya sokakta hayatın içerisinde karşımıza ... -
An Application of Artificial Neural Networks for Solving Fractional Higher-order Linear Integro-differential Equations
(Springer Nature, 2023)This ongoing work is vehemently dedicated to the investigation of a class of ordinary linear Volterra type integro-differential equations with fractional order in numerical mode. By replacing the unknown function by an ... -
Az Örnekli Öğrenme ile Mikroskobik Görüntülerden Maya Hücresi Segmentasyonu
(IEEE, 2021)Mikroskobik görüntülerden otomatik hücre segmentasyonu, derin sinir ağları veya görüntü işleme teknikleri kullanılarak yapılabilmektedir. Bu tekniklerin ayrı ayrı problemleri ve zorlukları bulunmakla birlikte özellikle ... -
BaDENAS: Retina Damar Segmentasyonu için Bayes Tabanlı Sinir Mimarisi Arama
(IEEE, 2023)Retinal damar segmentasyonu, retinal görüntülerin analizi için önemli bir görevdir ve göz hastalıklarının teşhisinde ve tedavisinde kullanılan etkili bir araçtır. Damar segmentasyonunu otomatik hale getiren U-Net gibi derin ... -
Beyin Tümörlerinin Görüntü İşleme Teknikleri Kullanılarak Bilgisayar Destekli Tespiti
(Institute of Electrical and Electronics Engineers (IEEE), 2015)Günümüz teknolojisinde bilgisayar destekli tespit uygulamaları tıp alanına büyük katkılar sa˘glamayı ba¸sarmı¸stır. Bu çalı¸smada, beyin manyetik rezonans görüntülerindeki tümörlerin tespiti gerçekle¸stirilmi¸stir. ... -
A Bi-criteria Hybrid Genetic Algorithm with Robustness Objective for the Course Timetabling Problem
(Elsevier, 2018)Traditional methods of generating timetables may yield high-quality solutions, but they may not yield robust solutions that may easily be adapted to changing inputs. Incorporating late changes by making minimum modifications ... -
Bi-criteria Simulated Annealing for the Curriculum-based Course Timetabling Problem With Robustness Approximation
(Springer, 2022)In the process of developing a university’s weekly course timetable, changes in the data, such as the available time periods of professors or rooms, render the timetable infeasible, requiring the administrators to repair ... -
A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm
(MDPI, 2024)The process of software development is incomplete without software testing. Software testing expenses account for almost half of all development expenses. The automation of the testing process is seen to be a technique ... -
Chaotic Sand Cat Swarm Optimization
(MDPI, 2023)In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently ... -
Clustering Electricity Market Participants Via FRM Models
(IOS Press, 2020)Collateral mechanism in the Electricity Market ensures the payments are executed on a timely manner; thus maintains the continuous cash flow. In order to value collaterals, Takasbank, the authorized central settlement ... -
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 ... -
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 ... -
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, ... -
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 ... -
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. ...