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Titlebook: Machine Learning and the Internet of Things in Education; Models and Applicati John Bush Idoko,Rahib Abiyev Book 2023 The Editor(s) (if app

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發(fā)表于 2025-3-25 06:26:07 | 只看該作者
A Fuzzy Logic Implemented Classification Indicator for the Diagnosis of Diabetes Mellitus in TRNC,nally, testing includes validation and implementation checks before estimating the importance of accuracy. According to test results for the application of system services, the created diabetes disease diagnosis system substantially satisfies the fundamental expectations. With a 96% accuracy rate, t
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發(fā)表于 2025-3-25 09:19:36 | 只看該作者
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發(fā)表于 2025-3-25 13:49:38 | 只看該作者
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發(fā)表于 2025-3-25 17:01:38 | 只看該作者
,A Semantic Portal to Improve Search on Rivers State’s Independent National Electoral Commission,ss, candidates, and policies. Developing and implementing the semantic search portal in collaboration with INEC Nigeria entails several crucial steps. These include the creation of a comprehensive ontology that captures the complexity of the electoral domain, integrating diverse data sources, utiliz
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發(fā)表于 2025-3-25 22:50:22 | 只看該作者
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發(fā)表于 2025-3-26 01:32:49 | 只看該作者
Application of Zero-Trust Networks in e-Health Internet of Things (IoT) Deployments,securely these devices could collect personal data and transfer it over an untrusted network and yet still maintain the privacy and security of the data. This challenge is also evident in sensor nodes and other things within an IoT as to protection of an individual’s privacy without divulging it to
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發(fā)表于 2025-3-26 07:42:28 | 只看該作者
28#
發(fā)表于 2025-3-26 08:33:21 | 只看該作者
Sustainable Education Systems with IOT Paradigms,they interact. It provides a broad overview of the traits of smart cities, including the Smart Economy, Smart Environment, Smart Government, Smart Mobility, Smart Living, and Smart Human Level, and it displays some expansive depictions of the key elements of each paradigm. People commonly relocate t
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發(fā)表于 2025-3-26 13:33:16 | 只看該作者
30#
發(fā)表于 2025-3-26 19:15:16 | 只看該作者
Book 2023, predictive, and self-operating smart systems. The primary audience of the book include but not limited to researchers, teachers, and postgraduate and undergraduate students in computing, engineering, medicine, education, and science fields.
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