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Toplam kayıt 22, listelenen: 11-20
Pneumonia Detection from Pediatric Lung X-Ray Images with Convolutional Neural Network Method
(IEEE, 2021)
Pneumonia can be cause diseases such as cough, fever and respiratory problems and to death in the progressive situations. Mostly lung x-ray images are used for diagnosis of pneumonia. In this study, an unique convolutional ...
QUALITY ASSESSMENT of PANSHARPENED RASAT and LANDSAT-8 IMAGES USING SYNTHETIC SENTINEL-2 PANCHROMATIC IMAGE
(2021)
Technical and physical limitations often do not allow images to be acquired with high spatial and spectral resolution. Pansharpened images obtained by fusing high spatial resolution panchromatic images and multi-spectral ...
Numerical Solution of Time-Nonlocal Problem for Parabolic Equation
(American Institute of Physics Inc., 2022)
In this work, we study time-nonlocal boundary value problem for multi-dimensional parabolic partial differential equation. Two difference schemes for approximate solution of non-local boundary value problem are discussed. ...
Alert Results Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on 5 of 11 Shape of Masses in Contrast Mammography Images and First Order Statistical Features Classification Based on
(IEEE, 2023)
Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ...
Kontrastli Mamografi Görüntülerinde Kitlelerin Şekil ve Birinci Dereceden Istatistiksel Özniteliklere Dayali Siniflandirmasi
(Institute of Electrical and Electronics Engineers Inc., 2023)
Mammography is a valuable tool in the diagnosis and staging of primary breast cancer. Contrast-enhanced mammography (CEM) combines an iodinated contrast agent with traditional mammography to increase diagnostic accuracy, ...
Anomaly Detection in Predicted Water Treatment Data using Hybrid CNN-LSTM Network Model
(IEEE, 2023)
Water treatment systems are among the industrial control systems where it is essential to detect anomalies accurately and efficiently due to the potential threat to public health. With advances in computer science, machine ...
Deep Learning Based Focus Measurement Operator for 3D Imaging in Microscopic Systems
(IEEE, 2023)
Since 3D imaging in microscopic systems makes cell and tissue structures more prominent and visible, it provides higher performance in image processing applications such as automatic segmentation, recognition, classification, ...
An Efficient 1D Autoencoder-Based Approach for R-Peaks Detection in Electrocardiogram Signals
(Institute of Electrical and Electronics Engineers Inc., 2023)
Electrocardiogram (ECG) signal which is composition of multiple segments such as P-wave, QRS complex and T-wave plays a crucial role in evaluating human heart cardiac diagnosis. For an analysis of cardiac diagnosis, it is ...
Pedestrian Inertial Navigation with Multi-Head LSTM Including Attention
(Institute of Electrical and Electronics Engineers Inc., 2023)
Despite continuous advancements in algorithms and wearable inertial measurement unit (IMU) technology in the last two decades, inertial navigation systems (INS) cannot be used for long-term pedestrian tracking due to the ...
A Hybrid CNN-LSTM Framework for Unsupervised Anomaly Detection in Water Distribution Plant
(Institute of Electrical and Electronics Engineers Inc., 2023)
To reduce potential threats to public health and economic losses, water distribution systems, which are critical parts of industrial control systems, require accurate and effective anomaly detection. The successful ...