9786206740407 - 5g enabled electronic health (e-health) computing: artificial intelligence & iot cloud infrastructure par o. matthew, ugochukwu; s. kazaure, engr. dr. jazuli; u. okafor, dr. nwamaka (8 résultats)
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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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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EUR 100,52
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Etat : New.
5G Enabled Electronic Health (E-Health) Computing
Ugochukwu O. Matthew|Engr. Dr. Jazuli S. Kazaure|Dr. Nwamaka U. Okafor
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Vendeur : moluna, Greven, Allemagnemoluna
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EUR 61,15
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Etat : New.
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Vendeur : preigu, Osnabrück, Allemagnepreigu
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EUR 67,20
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Taschenbuch. Etat : 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. 19, 4…9078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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EUR 79,90
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Taschenbuch. Etat : 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 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. 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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Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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EUR 103,40
EUR 7,67 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 4 disponible(s)
Etat : 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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Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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EUR 103,57
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Etat : New. PRINT ON DEMAND.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 80,86
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Taschenbuch. Etat : 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 exec…ute 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.
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 79,90
EUR 60,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 1 disponible(s)
Taschenbuch. Etat : 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 exe…cute 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.
