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Toplam kayıt 6, listelenen: 1-6
Detail Investigation on Success of the Filters and Classification Algorithms for Determining Pneumonia Disease
(Institute of Electrical and Electronics Engineers Inc., 2021)
Today, as a result of the widespread use of electronic
stethoscopes, lung sounds can be recorded and transferred to
a computer. Thus, it was possible to analyze the lung sounds.
Healthy lung sounds are called normal ...
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 ...
Enhancing Nearest Centroid with Coverage Principle for Classification Problem
(Institute of Electrical and Electronics Engineers Inc., 2021)
Motivated by the network coverage of the
trans- mitter, this research proposes a novel coverage-based
method to improve the Nearest Centroid’s class prediction by
replacing the centroid with radius coverage as the ...
Low-cost VIS/NIR Range Hand-held and Portable Photospectrometer and Evaluation of Machine Learning Algorithms for Classification Performance
(Elsevier B.V., 2022)
In this study, the electronic design of a low-cost and portable spectrophotometer device capable of analyzing in the visible-near infrared region was established. The design of C#.NET-based user-friendly
device control ...
An Efficient Lung Sound Classification Technique Based on MFCC and HDMR
(Springer, 2023)
In this work, an efficient feature extraction scheme is developed for classifying the pulmonary diseases. The proposed
method is hybrid which combines two important techniques that are Mel Frequency Cepstral Coefficients ...