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Titlebook: Context-Aware Systems and Applications; 10th EAI Internation Phan Cong Vinh,Abdur Rakib Conference proceedings 2021 ICST Institute for Comp

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https://doi.org/10.1007/978-3-031-21157-7iratory patients. Especially, some of them become so serious that they must stay in Intensive Care Unit during a long time. It causes the overload status in order to take care all patients at the same time. Therefore, the better treatment by using the mechanical ventilator in the initial stage could
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Beyond Episteme: The Concept of Ordervolving multiple stakeholders, maintaining a harmonious and frictionless fractional ownership in real estate is challenging. While academics and practitioners have been focusing on nascent technology like blockchain application in this domain, their potential in supporting the governance of fraction
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Hidden Pattern: Toward Decision Support Fuzzy Systems,dge algebra (.) using linguistic cognitive map (.). Our model consists of a set of vertices and edges whose values are linguistic variables that are constrained by a linguistic lattice. The algorithm for the system studied will convert to hidden pattern.
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Conference proceedings 2021ber 2021. Due to COVID-19 pandemic the conference was held virtually.. The 25 revised full papers presented were carefully selected from 52 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications..
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Context-Aware Systems and Applications978-3-030-93179-7Series ISSN 1867-8211 Series E-ISSN 1867-822X
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https://doi.org/10.1007/978-3-031-18712-4dge algebra (.) using linguistic cognitive map (.). Our model consists of a set of vertices and edges whose values are linguistic variables that are constrained by a linguistic lattice. The algorithm for the system studied will convert to hidden pattern.
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Binary Classification for Lung Nodule Based on Channel Attention Mechanism,ing (with four cases: case 1, ASS trained and tested on a dataset of size 50 × 50; case 2, using ASS trained on a dataset of size 50 × 50 to test a dataset of size 100 × 100; case 3, ASS trained and tested on a dataset of size 100 × 100 and case 4, using ASS trained on a dataset of size 100 × 100 to
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