Titlebook: Reconstructing Identity; A Transdisciplinary Nicholas Monk,Mia Lindgren,Sarah Pasfield-Neofitou Book 2017 The Editor(s) (if applicable) an

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dels in diverse domains, notably in healthcare. This convergence of innovations, however, has exposed an array of vulnerabilities and necessitated the development of robust frameworks for security and privacy preservation. In this multifaceted study, we deploy an ensemble of machine learning (ML) an

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Nicholas Monk,Mia Lindgren,Sarah McDonald,Sarah Pasfield-Neofitou

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tural fields, Arduino UNO collected sensor data and showed it in a graphical user interface. It is strongly suggested that agricultural irrigation requirements can be determined via the use of machine learning. The method that has been proposed comes highly recommended and has a number of primary ob

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Nicholas Monk,Mia Lindgren,Sarah McDonald,Sarah Pasfield-Neofitoumethodology integrating random forest and feedforward neural networks is also presented, offering enhanced insights into attack categorization and feature importance. The findings underscore the potential of advanced ML models and privacy-preserving techniques in fostering a secure, resilient, and e

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Kevin G. Moffatmethodology integrating random forest and feedforward neural networks is also presented, offering enhanced insights into attack categorization and feature importance. The findings underscore the potential of advanced ML models and privacy-preserving techniques in fostering a secure, resilient, and e

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