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Toplam kayıt 10, listelenen: 1-10
Retina Görüntülerinde Yaşa Bağlı Makula Dejenerasyonu'nun Bilgisayar Destekli Tespiti
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Bu çalışmada, Fundus Floresein Anjiografi
(FFA) yöntemi ile elde edilen retina gorüntüleri üzerinde
Yaşa Bağlı Makula Dejenerasyonu (YBMD) hastalığının
Bilgisayar Destekli Tespit (BDT) işleminin gerçekleştirilmesi
am ...
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. ...
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 ...
Digital Holograms Obtained Using Advanced Evolution Strategies
(Institute of Electrical and Electronics Engineers (IEEE), 2018)
By changing the amplitude and phase of
optical beams digital holography allows for the generation
of desired target images at the focus of a lens. It is an
important research challenge to determine the digital
hologram ...
Automatic Detection and Calculation of Drusen Areas in Retinal Fundus Fluorescein Angiography Images
(Marmara Üniversitesi, 2018)
Computer aided detection (CAD) systems are widely used in the analysis of biomedical images. In this paper, we present
a novel CAD system to detect age-related macular degeneration (ARMD) on retinal fundus fluorescein ...
Malware Detection in Android Systems with Traditional Machine Learning Models: A Survey
(IEEE, 2020)
Due to the increased number of mobile devices,
they are integrated in every dimension of our daily life. To
execute some sophisticated programs, a capable operating must
be set up on them. Undoubtedly, Android is the ...
Neural Network Based Android Malware Detection with Different IP Coding Methods
(IEEE, 2021)
Due to the COVID-19 epidemic that has affected the
whole world, internet use has increased more than in previous
years. Almost all operations and transactions are done over the
internet, especially with the use of ...
An LED-Based Structured Illumination Microscope Using A Digital Micromirror Device And GPU Accelerated Image Reconstruction
(PLOS, 2022)
When combined with computational approaches, fluorescence imaging becomes one of the
most powerful tools in biomedical research. It is possible to achieve resolution figures
beyond the diffraction limit, and improve the ...
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, ...
Protecting Android Devices from Malware Attacks: A State-of-the-Art Report of Concepts, Modern Learning Models and Challenges
(IEEE, 2023)
Advancements in microelectronics have increased the popularity of mobile devices like
cellphones, tablets, e-readers, and PDAs. Android, with its open-source platform, broad device support,
customizability, and integration ...