Titlebook: Big Data Analytics in Intelligent IoT and Cyber-Physical Systems; Nonita Sharma,Monika Mangla,Subhash K. Shinde Book 2024 The Editor(s) (i

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A Study of Deep Learning Methods for Automatic Cancer Detection and Classification in Histopathologioctors and researchers in the world of clinical research. Identifying cancerous tissues is critical for clinicians in providing appropriate oncology treatments. A whole slide image (WSI) is a digitized scanning of the tissues on the glass slide that allows the samples taken to be stored digitally on

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Core Selection in the SOC Test Design-Flow discuss state of art methods used in industrial and spacecraft anomaly detection using Deep Learning models. We introduce a classification scheme for CPS anomaly detection and provide further details on the existing testbed dataset. Lastly the challenges are highlighted for further research direction.

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Unsteady Aerodynamics with Case Studiesly consists of KNN, Random Forest and decision tree. Validation is accomplished with the help of metrics including classification accuracy, specificity, sensitivity, and F-Score. These metrics must be improved to generate the accurate result about the disease.

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