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Vendeur AbeBooks depuis 28 janvier 2020
N° de réf. du vendeur 47507192-n
Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin as effective solutions in smart hospitals. Digital Twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device.
À propos de l?auteur:
Amit Kumar Tyagi, PhD, is an assistant professor at the National Institute of Fashion Technology, New Delhi, India. He obtained his doctorate in 2018. He has published more than 200 papers in refereed international journals, conferences, and books, many of which are with the Wiley-Scrivener imprint. He has filed more than 25 national and international patents in deep learning, the Internet of Things, cyber-physical systems, and computer vision. His current research focuses on next-generation machine-based communications, blockchain technology, smart and secure computing, and privacy.
Titre : Artificial Intelligence-enabled Blockchain ...
Éditeur : Wiley-Scrivener
Date d'édition : 2024
Reliure : Couverture rigide
Etat : New
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals. Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin technology as effective solutions in smart hospitals. Digital twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device for fast decisions. Inevitable challenges such as privacy concerns and integration costs must, of course, be addressed. However, the potential benefits in terms of improved healthcare quality, reduced costs, and global health initiatives makes the integration of these technologies a compelling avenue for the future of healthcare. Some of the topics that readers will find in this book include: Wireless Medical Sensor Networks in Smart Hospitals DNA Computing in Cryptography Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification Machine Learning-Enabled Digital Twins for Diagnostic And Therapeutic Purposes Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals Blockchain for Edge Association in Digital Twin Empowered 6G Networks Blockchain for Security and Privacy in Smart Healthcare Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sector Electronic Health Records in a Blockchain PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm AI and Transfer Learning Based Framework for Efficient Classification And Detection Of Lyme Disease Framework for Gender Detection Using Facial Countenances Smartphone-Based Sensors for Biomedical Applications Blockchain for Improving Security and Privacy in the Smart Sensor Network Sensors and Digital Twin Application in Healthcare Facilities Management Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare Digital Twin Application in Healthcare Facilities Management Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning. Audience The book will be read by hospital and healthcare providers, administrators, policymakers, scientists and engineers in artificial intelligence, information technology, electronics engineering, and related disciplines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781394287390
Quantité disponible : 1 disponible(s)
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals. Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin technology as effective solutions in smart hospitals. Digital twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device for fast decisions. Inevitable challenges such as privacy concerns and integration costs must, of course, be addressed. However, the potential benefits in terms of improved healthcare quality, reduced costs, and global health initiatives makes the integration of these technologies a compelling avenue for the future of healthcare. Some of the topics that readers will find in this book include: Wireless Medical Sensor Networks in Smart Hospitals DNA Computing in Cryptography Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification Machine Learning-Enabled Digital Twins for Diagnostic And Therapeutic Purposes Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals Blockchain for Edge Association in Digital Twin Empowered 6G Networks Blockchain for Security and Privacy in Smart Healthcare Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sector Electronic Health Records in a Blockchain PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm AI and Transfer Learning Based Framework for Efficient Classification And Detection Of Lyme Disease Framework for Gender Detection Using Facial Countenances Smartphone-Based Sensors for Biomedical Applications Blockchain for Improving Security and Privacy in the Smart Sensor Network Sensors and Digital Twin Application in Healthcare Facilities Management Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare Digital Twin Application in Healthcare Facilities Management Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning. Audience The book will be read by hospital and healthcare providers, administrators, policymakers, scientists and engineers in artificial intelligence, information technology, electronics engineering, and related disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781394287390
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. N° de réf. du vendeur 410511570
Quantité disponible : 3 disponible(s)
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Etat : New. 2024. 1st Edition. hardcover. . . . . . N° de réf. du vendeur V9781394287390
Quantité disponible : Plus de 20 disponibles
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26402675469
Quantité disponible : 3 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 496 pages. 10.43x7.32x1.38 inches. In Stock. N° de réf. du vendeur __1394287399
Quantité disponible : 2 disponible(s)
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
Etat : New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781394287390
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Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : new. Hardcover. The book uniquely explores the fundamentals of blockchain and digital twin and their uses in smart hospitals. Artificial Intelligence-Enabled Blockchain Technology and Digital Twin for Smart Hospitals provides fundamental information on blockchain and digital twin technology as effective solutions in smart hospitals. Digital twin technology enables the creation of real-time virtual replicas of hospital assets and patients, enhancing predictive maintenance, operational efficiency, and patient care. Blockchain technology provides a secure and transparent platform for managing and sharing sensitive data, such as medical records and pharmaceutical supply chains. By combining these technologies, smart hospitals can ensure data security, interoperability, and streamlined operations while providing patient-centered care. The book also explores the impact of collected medical data from real-time systems in smart hospitals, and by making it accessible to all doctors via a smartphone or mobile device for fast decisions. Inevitable challenges such as privacy concerns and integration costs must, of course, be addressed. However, the potential benefits in terms of improved healthcare quality, reduced costs, and global health initiatives makes the integration of these technologies a compelling avenue for the future of healthcare. Some of the topics that readers will find in this book include: Wireless Medical Sensor Networks in Smart Hospitals DNA Computing in Cryptography Enhancing Diabetic Retinopathy and Glaucoma Diagnosis through Efficient Retinal Vessel Segmentation and Disease Classification Machine Learning-Enabled Digital Twins for Diagnostic And Therapeutic Purposes Blockchain as the Backbone of a Connected Ecosystem of Smart Hospitals Blockchain for Edge Association in Digital Twin Empowered 6G Networks Blockchain for Security and Privacy in Smart Healthcare Blockchain-Enabled Internet of Things (IoTs) Platforms for IoT-Based Healthcare and Biomedical Sector Electronic Health Records in a Blockchain PSO-Based Hybrid Cardiovascular Disease Prediction for Using Artificial Flora Algorithm AI and Transfer Learning Based Framework for Efficient Classification And Detection Of Lyme Disease Framework for Gender Detection Using Facial Countenances Smartphone-Based Sensors for Biomedical Applications Blockchain for Improving Security and Privacy in the Smart Sensor Network Sensors and Digital Twin Application in Healthcare Facilities Management Integration of Internet of Medical Things (IoMT) with Blockchain Technology to Improve Security and Privacy Machine Learning-Driven Digital Twins for Precise Brain Tumor and Breast Cancer Assessment Ethical and Technological Convergence: AI and Blockchain in Halal Healthcare Digital Twin Application in Healthcare Facilities Management Cloud-based Digital Twinning for Structural Health Monitoring Using Deep Learning. Audience The book will be read by hospital and healthcare providers, administrators, policymakers, scientists and engineers in artificial intelligence, information technology, electronics engineering, and related disciplines. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781394287390
Quantité disponible : 1 disponible(s)