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Toplam kayıt 343, listelenen: 121-130
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 ...
Buying Citizenship: A Boon to District-Level House Prices in Istanbul
(Taylor & Francis Group, 2022)
Citizenship by investment (CBI) programs have recently garnered significant
academic and media attention. Turkey introduced such a program in
2017 that offers citizenship in exchange for investment in residential
property. ...
Investigation of Inhibitory Effects of Chitosan on Pitting and Electrochemical Corrosion Behavior Caused by Sigma Phase in Duplex Stainless Steels (DSS)
(Pleiades journals, 2021)
In this study, as a result of the heat treatment parameters applied to 2205 duplex stainless steel
(DSS), the sigma phase formed in the microstructure and changes in the corrosion behavior of DSS due to
this sigma phase ...
Using Digital Differentiation to Improve EFL Achievement and Selfregulation of Tertiary Learners: The Turkish Context
(Routledge Journals, Taylor & Francıs Ltd., 2022)
Purpose: The current study examines the impact of Differentiated
Instruction (DI) on students’ EFL speaking proficiency and Self-
Regulated Learning (SRL) during online learning at a Turkish higher
education institution’s ...
Classification of Covid-19 X-ray Images Using Tridiagonal Matrix Enhanced Multivariance Products Representation (TMEMPR)
(Institute of Electrical and Electronics Engineers Inc., 2021)
Medical images are crucial data sources for diseases
that can not be diagnosed easily. X-rays, one of the medical
images, have high resolution. Processing high-resolution images
leads to a few problems such as difficulties ...
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 ...
Suppression of The Torsional Irregularity of High-rise Buildings Using Viscous Wall Dampers
(Springer, 2022)
The energy dissipation devices, with their capabilities of seismic demand reduction, are
effective and widely used innovative structural solutions for the seismic protection of
buildings. Viscous Wall Dampers (VWD) are ...
Software Project Failure Process Definition
(Institute of Electrical and Electronics Engineers Inc., 2022)
Many researchers have attempted to identify the factors behind software project failures and
their solutions from various perspectives. However, systematic and integrated process definitions of failure
as process models ...
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 ...
AT-ODTSA: a Dataset of Arabic Tweets for Open Domain Targeted Sentiment Analysis
(University of Bahrain, 2022)
In the field of sentiment analysis, most of research has conducted experiments on datasets collected from Twitter for
manipulating a specific language. Little number of datasets has been collected for detecting sentiments ...