Titlebook: Contactless Healthcare Facilitation and Commodity Delivery Management During COVID 19 Pandemic; Mousmi Ajay Chaurasia,Stefan Mozar Book 20

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Explainable Deep Learning Through Grad-CAM and Feature Visualization for the Detection of COVID-19 r contains 112 COVID and 112 normal images. The testing set has 30 COVID CXR and 30 normal CXR images. In order to explain the internal learning of CNN, activation maps (or feature maps) have been visualized. Subsequently, heatmaps are generated with the Grad-CAM technique and overlayed on the CXR i

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Preserving the Privacy of COVID-19 Infected Patients Data Using a Divergent-Scale Supervised Learniuthorized data on a digital platform. In regards to defend the data breaching in the data publishing process, many contemporary models endeavored to improve the anonymization and diversification of the sensitive elements of the data used in the publishing process. However, these methods cannot be ge

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Personal Cloud System for Hospital Data Management to Store COVID-19 Patients Records,examples of cloud computing are Dropbox, Google Drive, and iCloud. These storage services allow the users to store data over the internet with a specific amount of storage depending on the user’s requirements..Computerized management, i.e., maintaining information of an institution, hospital, is an

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