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Titlebook: Internet of Things and Personalized Healthcare Systems; P. Venkata Krishna,Sasikumar Gurumoorthy,Mohammad Book 2019 The Author(s), under

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發(fā)表于 2025-3-28 17:28:24 | 只看該作者
42#
發(fā)表于 2025-3-28 21:27:22 | 只看該作者
Secured Architecture for Internet of Things-Enabled Personalized Healthcare Systems,se connected objects can be communicated each other remotely as per the user’s convenience. It has applications in all most all the fields like industries, factories, environment, agriculture, transport, education, healthcare, energy, and retail. IoT leads to the new technologies like big data and c
43#
發(fā)表于 2025-3-28 23:09:41 | 只看該作者
Role of Imaging Modality in Premature Detection of Bosom Irregularity,e of patients. Premature detection of bosom tumor is big challenge in medical science. Medical studies proven that imaging modalities like mammography, thermography, ultrasound, and magnetic resonance imaging (MRI) play a vigorous role to detect breast irregularity earliest. This paper enhances the
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發(fā)表于 2025-3-29 06:37:47 | 只看該作者
Healthcare Application Development in Mobile and Cloud Environments,rvices are developed in Android operating system. The development of mobile healthcare application on cloud computing environment deploys the data retrieval, availability of resources, security, and privacy. The aim of the proposed mobile healthcare application is to manage the healthcare informatio
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發(fā)表于 2025-3-29 08:15:16 | 只看該作者
A Computational Approach to Predict Diabetic Retinopathy Through Data Analytics,ses huge blindness. Recurrent screening for prior disease detection has been a highly labor force—and resource—powerful process. So computerized diagnosis of these diseases through estimating methods would be a great remedy. Through this paper, a novel estimation strategy for computerized disease pr
46#
發(fā)表于 2025-3-29 13:06:34 | 只看該作者
Diagnosis of Chest Diseases Using Artificial Neural Networks,udy by using the following neural networks such as multi-layer, probabilistic, learning vector quantization, constructive fuzzy, focused time delay, and generalized regression neural networks [.]. The back-propagation algorithm (It is a method used to calculate the error contribution of each neuron
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發(fā)表于 2025-3-29 18:01:36 | 只看該作者
48#
發(fā)表于 2025-3-29 20:24:43 | 只看該作者
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發(fā)表于 2025-3-30 02:04:08 | 只看該作者
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發(fā)表于 2025-3-30 05:18:12 | 只看該作者
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