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Titlebook: Intelligent Interactive Multimedia Systems for e-Healthcare Applications; Amit Kumar Tyagi,Ajith Abraham,Arturas Kaklauskas Book 2022 The

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樓主: Neogamist
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發(fā)表于 2025-3-23 11:07:32 | 只看該作者
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發(fā)表于 2025-3-23 14:03:33 | 只看該作者
Toward Healthcare Data Availability and Security Using Fog-to-Cloud Networksr devices providing medical services like patient monitoring, drug management, and online appointments and treatment in real time. However, the availability and security of massive data generated by these sensors devices from cyber-criminals become a concern for healthcare providers and patients. Th
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發(fā)表于 2025-3-23 21:26:20 | 只看該作者
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發(fā)表于 2025-3-23 23:55:58 | 只看該作者
Smart Healthcare System: Interface to COVID-19 Prevention Using Dual-Layer Securityty and access systems suffer from numerous flaws that make them an inferior option to our proposed dual-layer security and face pattern consisting of the preliminary stage of facial recognition, and final password authentication using the brain–computer interface. This chapter compares the current s
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發(fā)表于 2025-3-24 04:25:54 | 只看該作者
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發(fā)表于 2025-3-24 06:30:19 | 只看該作者
Prediction of COVID-19 Outbreak with Current Substantiation Using Machine Learning Algorithmstitude of people all over the world. It affects humans in multiple ways such as difficulty in breathing (trouble in respiratory syndrome), fever, cold and dry cough. This has affected numerous people throughout the world. In India, there are numerous COVID-19 cases and the number is rapidly increasi
17#
發(fā)表于 2025-3-24 14:27:32 | 只看該作者
Artificial Intelligence and an Edge-IoMT-Based System for Combating COVID-19 Pandemicandemic of influenza outbreak of 1918. The adoption of the Internet of Medical Things (IoMT) and wearable sensor in managing patients during any infectious disease outbreak have brought several opportunities. Until now there has been a rapid increase in diverts research works to find a lasting solut
18#
發(fā)表于 2025-3-24 17:45:35 | 只看該作者
Artificial Intelligence Based Diagnostic Model for the Detection of Malaria Parasites from Microscopination remains common, but assessment exactness usually depends on the clinical expert’s understanding. Such systems include a radical error in terms of subjectivity, which prompts to less diagnostic accuracy. To increase diagnostic precision, modern artificial intelligence (AI) technologies play a
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發(fā)表于 2025-3-24 20:40:24 | 只看該作者
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發(fā)表于 2025-3-24 23:12:16 | 只看該作者
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