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Yeni bir Sinyal İşleme Aracı ve Gerçek Zamanlı EMG ve EKG analizi
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
Biyomedikal sinyallerin doğru ve yüksek kalite ile elde edilmesi, işlenmesi ve görselleştirilmesi birçok hastalığın teşhisinde oldukça önemli bir rol oynamaktadır. Söz konusu amaca yönelik olarak bu çalışmada, MATLAB ...
The Vantage Point Bees Algorithm
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
In this paper, an implementation of vantage point local search procedure for the Bees Algorithm (BA) in
combinatorial domains is presented. In its basic version, the BA employs a local search combined with
random search ...
Flow Velocity Effect on Clear Water Bridge Pier Scour
(Avestia Publishing, 2016)
For a long while, scour mechanism has been a major problem to be solved by many researchers. Local scour phenomenon at bridge piers has many parameters such as flow characteristics, sediment type, bridge pier shape and ...
Sinüzoidal Aydınlatma Desenleri Kullanılarak Frekans Uzayında Görüntü Yeniden Yapılandırma
(IEEE, 2021)
Yapılandırılmış Aydınlatma Desenleri (Structured
Illumination Patterns) mikroskobik görüntülemede, kırımın limitinin
(diffraction limit) aşılarak süper çözünürlüklü görüntünün
elde edilmesini sağlamak için kullanılan ...
Bi-Criteria Simulated Annealing Algorithms for the Robust University Course Timetabling Problem
(PATAT, 2018)
A bi-criteria version of the curriculum-based university timetabling
problem of ITC-2007 is solved using a multi-objective simulated annealing
(MOSA) algorithm that identifies an approximation to the optimal Pareto
front. ...
Extended Describing Function Modeling and Closed-Loop Control of LLC Converter in Battery Charging Applications
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
The variable switching frequency control of LLC
converters makes the modeling and compensator design rather
a difficult task. In this paper, an extended describing function
modeling that can represent the beat frequency ...
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 ...
