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Artificial intelligence of health-enabled spaces / edited by Fadi Al-Turjman

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: Boca Raton : CRC Press, 2023Edition: First editionDescription: 1 Online-RessourceISBN:
  • 1003322883
  • 9781000893144
  • 1000893146
  • 9781000893120
  • 100089312X
Subject(s): Additional physical formats: 9781003322887. | 9781032345802. | 9781032345819. | Erscheint auch als: Artificial intelligence of health-enabled spaces. Druck-Ausgabe. First edition. Boca Raton : CRC Press, 2023LOC classification:
  • R855.3
NLM classification:
  • W 26.55.A7
Online resources:
Summary: "Artificial Intelligence of Health-Enabled Spaces (AIoH) has made revolutionary advances in clinical studies that we know so far. Among these advances, intelligent and medical services are gaining lots of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. The AI-powered solutions are expected to communicate with cellular networks smoothly in the next generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for another interesting research areas. This book focuses on the development and analysis of Artificial Intelligence (AI) models applications across multi-disciplines. AI based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable model are also being presented in this book. Some of the fields considered in this smart health-oriented book includes AI applications in Electrical Engineering, Biomedical Engineering, Environmental Engineering, Computer Engineering, Education, Cyber Security, Chemistry, Pharmacy, Molecular Biology, and Tourism. This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. Challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of the AI-based approaches in proposed health-related solutions. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies"--PPN: PPN: 1882630009Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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