Titlebook: Surveillance, Prevention, and Control of Infectious Diseases; An AI Perspective Muhammad E. H. Chowdhury,Serkan Kiranyaz Book 2024 The Edit

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Continuous Physiological Signal Monitoring Using Wearables for the Early Detection of Infectious Dirent dimensions or formats, and preparing the data for analysis. The next phase of the process involves extracting features and selecting features to enhance data functionality and accessibility. During the third phase, machine learning, deep learning, and ensemble methods for disease classification

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Use of Artificial Intelligence in the Surveillance of Seasonal Respiratory Infections,w touches upon many nations implementing stringent nonpharmaceutical interventions (NPIs) linked to the role of AI in public health. By automating the examination of enormous databases of clinical records and test results, AI digitalizes respiratory infection surveillance systems, enabling more rapi

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Md. Sakib Bin Islam,Jahidul Islam,Munshi Sajidul Islam,Md. Shaheenur Islam Sumon,Md. Nahiduzzaman,M.g the characteristics of the transport potential according to its resource capabilities and production results, by distinguishing the following groups of indicators: material resources, human resources, investment resources, production results. Grouping and building ex-post war dynamic models are pr

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Duaa Yousif,Rowan Mesilhy,Roaa Aly,Salma Hegazi,Zahra Yousif,Farhan S. Cyprian,Abdallah M. Abdallahne with these ratios. In addition, in this study, the manpower constituting the system under the authority of the Ministry of Industry and Technology was determined as 12.7 million. This population was divided into strata with rates of 1.562%, 4.687%, 18.75% and 75%, respectively. With the proposed

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