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Toplam kayıt 5, listelenen: 1-5
Radiomics and deep learning approach to the differential diagnosis of parotid gland tumors
(Wolters Kluwer Health, 2022)
All studies aimed at the differential diagnosis of benign vs. malignant PGTs or the identification of the
commonest PGT subtypes were identified, and five studies were found that focused on deep learning-based differential ...
New human identification method using Tietze graph-based feature generation
(Springer, 2021)
Electrocardiogram (ECG) signals have been widely used for disease diagnosis. Besides, the ECG signals can be used for human identification. In this work, a Tietze pattern and neighborhood component analysis (NCA)-based ...
Classification of thermoluminescence features of the natural halite with machine learning
(TAYLOR & FRANCIS, 2022)
Radiation dosimeters are used to measure the absorbed radiation
dose of any living organism during the time intervals. They include
defective crystals that store radiation until they are stimulated. Thermoluminescence ...
A hybrid DNN–LSTM model for detecting phishing URLs
(Springer, 2021)
Phishing is an attack targeting to imitate the official websites of corporations such as banks, e-commerce, financial institutions, and governmental institutions. Phishing websites aim to access and retrieve users’ important ...
Thermoluminescence characteristics of calcite with a Gaussian process regression model of machine learning
(Wiley, 2022)
Thermoluminescence (TL) is defined as a luminescence phenomenon that can be detected when an insulator or semiconductor is thermally stimulated. Defective crystals store radiation until they are stimulated. Thermoluminescence ...