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Toplam kayıt 42, listelenen: 31-40
Classification of Fruit Images as Fresh and Rotten Using Convolutional Neural Networks
(IEEE, 2023)
Many fruits are produced all over the world, and the fruits produced are sent abroad and sold in a relatively short time in many countries. During the period between collection and sale, the fruits may undergo various types ...
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 ...
Retrofit of Masonry Structures with Seismic Control Methods and Architectural Design Requirements
(American Society of Civil Engineers (ASCE), 2023)
Seismic loads pose a great risk to existing masonry buildings. Modern seismic control methods that are being increasingly used
today, rather than various traditional strengthening methods, appear in the retrofit of existing ...
The Effect of Muqarnas on Acoustic Quality of Traditional Turkish Bath Interior Space
(Association for Computing Machinery, 2023)
Decorative “muqarnas” add charm to the design element and may influence the characteristics of an interior space. This
study hypothesises that muqarnas in traditional Turkish baths (hammams) affect acoustic performances ...
Turkey’s Foreign Policy Toward Africa: Three Levels of Analysis
(Sage, 2023)
Turkey has been actively engaged in African politics since the Justice and Development Party (AK Party)
government announced the year 2005 as the Year of Africa. The strategic importance of Africa for Turkey
has significantly ...
Detecting Code Smell with a Deep Learning System
(IEEE, 2023)
Code smell detection is one of the most significant
issues in the software industry. Metric-based static code analysis
tools are used to detect undesirable coding practices known as
code smells and guide refactoring ...
Performance Evaluation of Real-Time Video Processing Edge Detection on Various Platforms
(IEEE, 2023)
As real-time video processing applications grow in
complexity, they demand higher performance. Achieving such
a performance must involve a delicate balance between design
constraints and optimization of performance ...
Triplet MAML for Few-shot Classification Problems
(Springer, 2023)
In this study, we propose a TripletMAML algorithm as an extension to Model-Agnostic Meta-Learning (MAML) which is the most widely-used optimization-based meta-learning algorithm. We approach MAML from a metric-learning ...
Evolutionary Architecture Optimization for Retinal Vessel Segmentation
(IEEE, 2023)
Retinal vessel segmentation (RVS) is crucial
in medical image analysis as it helps identify and monitor
retinal diseases. Deep learning approaches have shown
promising results for RVS, but designing optimal neural
network ...
Fabrication of Polycaprolactone-Chitosan/Curcumin Polymer Composite Fibers and Evaluation of Their in Vitro Release Kinetic Behavior and Antibacterial-Antifungal Activity
(Springer, 2023)
Microencapsulation is an attractive method in the production of controlled release and targeted delivery systems and is widely
used to increase the bioavailability of antimicrobial molecules. Chitosan (CS) is commonly ...