Browsing Araştırma Çıktıları | WoS | Scopus | TR-Dizin | PubMed by Subject "CNN"
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A Hybrid Deep Learning Framework for Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data
(Mdpi, 2020)Multivariate time-series data with a contextual spatial attribute have extensive use for finding anomalous patterns in a wide variety of application domains such as earth science, hurricane tracking, fraud, and disease ... -
A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain
(Pergamon-Elsevier Science Ltd, 2022)With the global spread of the COVID-19 epidemic, a reliable method is required for identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits that are both reliable and affordable. Due ...