Titlebook: Intelligent Technologies for Healthcare Business Applications; Athina Bourdena,Constandinos Mavromoustakis,Evange Book 2024 The Editor(s)

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An Introductory Perspective on Machine Learning for Health Care,ta (primary) surveys for the preparation of datasets on patient behaviors and habits, recurrence of laboratory tests, evolution of health and well-being diagnoses and practices, as well as the development of structured acquisition for data collection, in addition to robust analytics models, oriented

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Artificial Intelligence-Enabled 6G Mobile Systems,t cities, 5G is unable to meet the network requirements of these innovative applications. To address this issue, researchers are already working toward the development of 6G, which will revolutionize the wireless communication network by incorporating artificial intelligence (AI), machine learning (

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S-UAV Multiple Redundant Routing Scheme for Crisis Scenario,(S-UAVs). All UAVs are at risk of getting damaged, especially in crisis scenarios such as hurricanes, tsunamis, or wildfires, which lead to disconnected networks. Clustering, which groups the UAVs into clusters, is one of the most adopted routing schemes in S-UAVs. A cluster head (CH), which handles

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Survey Design and Methodology of a Universal Cybersecurity Toolkit and a Thread Architecture for Ine need of Healthcare Institutions for a Holistic Cyber Security vulnerability assessment toolkit, which will be able to proactively assess and mitigate cyber-security threats known or unknown, imposed by devices and services within a corporate ecosystem. This chapter elaborates on a toolkit that pro

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