Bilgisayar Mühendisliği Bölümü Koleksiyonu
Recent Submissions
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Improving effectiveness of different deep learning-based models for detecting COVID-19 from computed tomography (CT) images
(Springer Science and Business Media Deutschland GmbH, 2021)COVID-19 has caused a pandemic crisis that threatens the world in many areas, especially in public health. For the diagnosis of COVID-19, computed tomography has a prognostic role in the early diagnosis of COVID-19 as it ... -
A novel approach to distinguish complicated and non-complicated acute cholecystitis: Decision tree method
(Lippincott Williams and Wilkins, 2023)It is difficult to differentiate between non-complicated acute cholecystitis (NCAC) and complicated acute cholecystitis (CAC) preoperatively, which are two separate pathologies with different management. The aim of this ... -
An Ontology based product recommendation system for next generation e-retail
(Taylor and Francis Ltd., 2023)The number of e-commerce resources has increased considerably. Thus, it has become important for sellers to be able to quickly recommend products to potential buyers. Some product recommendation systems developed for this ... -
Optimized Decision Tree and Black Box Learners for Revealing Genetic Causes of Bladder Cancer
(Tech Science Press, 2023)The number of studies in the literature that diagnose cancer with machine learning using genome data is quite limited. These studies focus on the prediction performance, and the extraction of genomic factors that cause ... -
Predictors of rapidly progressive glomerulonephritis in acute poststreptococcal glomerulonephritis
(Springer Science and Business Media Deutschland GmbH, 2023)Background Acute post-streptococcal glomerulonephritis (APSGN) is an immune-mediated inflammatory respsonse in the kidneys caused by nephritogenic strains of group A (3-hemolytic streptococcus (GAS). The present study aimed ... -
İnsanın günlük aktivitelerinin yeni bir veri kümesi: Derin öğrenme tekniklerini kullanarak sınıflandırma performansı için kıyaslama sonuçları
(Gazi Üniversitesi, 2021)Studies to classify human activities can contribute to the development of new systems that will facilitate daily life by evaluating the interaction of individuals with their environment. In this study, a novel data set is ... -
COVID-19 detection on IBM quantum computer with classical-quantum transfer learning
(TUBITAK, 2021)Diagnose the infected patient as soon as possible in the coronavirus 2019 (COVID-19) outbreak which is declared as a pandemic by the world health organization (WHO) is extremely important. Experts recommend CT imaging as ... -
GovdeTurk: A Novel Turkish Natural Language Processing Tool for Stemming, Morphological Labelling and Verb Negation
(Zarka Private University, 2021)GovdeTurk is a tool for stemming, morphological labeling and verb negation for Turkish language. We designed comprehensive finite automata to represent Turkish grammar rules. Based on these automata, GovdeTurk finds the ... -
An investigation of the causal relationship between sunspot groups and coronal mass ejections by determining source active regions
(Royal Astronomical Society, 2021)Although the source active regions of some coronal mass ejections (CMEs) were identified in CME catalogues, vast majority of CMEs do not have an identified source active region. We propose a method that uses a filtration ... -
A quantum edge detection algorithm for quantum multi-wavelength images
(World Scientific Publishing, 2021)Quantum edge detection is one of the important part of quantum image processing. In this paper, a quantum edge detection algorithm is designed for the quantum representation of multi-wavelength image (QRMW) model. The ... -
Nonlocal implementation of multi-qubit controlled unitary quantum gates with quantum channel
(World Scientific Publishing, 2021)Quantum computers are very efficient in terms of speed and security. Decoherence and architectural complexity restrict the control of sensitive quantum information as the number of qubits in a quantum computer increases. ... -
A novel filter feature selection method for text classification: Extensive Feature Selector
(SAGE Publications, Early Acce)As the huge dimensionality of textual data restrains the classification accuracy, it is essential to apply feature selection (FS) methods as dimension reduction step in text classification (TC) domain. Most of the FS ... -
Flood Analysis and Mapping Using Sentinel Imagery: A Case Study from Tarsus Plain, Turkey
(Çanakkale Onsekiz Mart Üniversitesi, 2021-06-30)Floods are natural disasters that corrupt vegetation, cause loss of lives, and harm economies. There are many cases floods originate, sometimes natural, sometimes man-made. The use of agricultural fields unconsciously, ...
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