9786206740407 - 5g enabled electronic health (e-health) computing: artificial intelligence & iot cloud infrastructure de o. matthew, ugochukwu; s. kazaure, engr. dr. jazuli; u. okafor, dr. nwamaka (8 resultados)
5G Enabled Electronic Health (E-Health) Computing: Artificial Intelligence & IoT Cloud Infrastructure
O. Matthew, Ugochukwu; S. Kazaure, Engr. Dr. Jazuli; U. Okafor, Dr. Nwamaka
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 99,18
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5G Enabled Electronic Health (E-Health) Computing
Ugochukwu O. Matthew|Engr. Dr. Jazuli S. Kazaure|Dr. Nwamaka U. Okafor
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Librería: moluna, Greven, Alemaniamoluna
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EUR 61,15
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
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Librería: preigu, Osnabrück, Alemaniapreigu
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EUR 67,20
Envío por EUR 70,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 5 disponibles
Taschenbuch. Condición: Neu. 5G Enabled Electronic Health (E-Health) Computing | Artificial Intelligence & IoT Cloud Infrastructure | Ugochukwu O. Matthew (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206740407 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 1…9, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 79,90
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be use…d to execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare. 200 pp. Englisch.
5G Enabled Electronic Health (E-Health) Computing: Artificial Intelligence & IoT Cloud Infrastructure
O. Matthew, Ugochukwu; S. Kazaure, Engr. Dr. Jazuli; U. Okafor, Dr. Nwamaka
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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EUR 100,62
Envío por EUR 7,59Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. Print on Demand.
5G Enabled Electronic Health (E-Health) Computing: Artificial Intelligence & IoT Cloud Infrastructure
O. Matthew, Ugochukwu; S. Kazaure, Engr. Dr. Jazuli; U. Okafor, Dr. Nwamaka
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 102,91
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 79,90
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be used to… execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 80,86
Envío por EUR 61,58Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book highlighted requirements for the effective implementation of smart healthcare systems for particular 5G scenarios. The study found that bimodal sensor access using an Artificial Neural Network computer algorithm can be used to…execute data mining techniques and their applications in smart e-healthcare services for risk management, fraud detection, and client retention. In order to meet the demand for user-oriented medical services reform, the bimodal sensor electronic health (E-Health) record retrieval system is required to enhance the phenomenon for information management between healthcare consultants and patients. The creation of an E-Health data warehouse will make it possible for future medical smart devices to communicate with one another and to aggregate records from various heterogeneous database sources in order to meet the diversity requirements of medical and E-Health management, which will hasten and reinforce the advancement of health information technology in the medical field and healthcare organizations. The integration of a cloud-based IoT data warehousing platform was intended to facilitate global device connectivity management for e-healthcare.
