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Titlebook: Context-Aware Systems and Applications, and Nature of Computation and Communication; 9th EAI Internationa Phan Cong Vinh,Abdur Rakib Confer

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发表于 2025-3-21 16:54:08 | 显示全部楼层 |阅读模式
书目名称Context-Aware Systems and Applications, and Nature of Computation and Communication
副标题9th EAI Internationa
编辑Phan Cong Vinh,Abdur Rakib
视频video
丛书名称Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
图书封面Titlebook: Context-Aware Systems and Applications, and Nature of Computation and Communication; 9th EAI Internationa Phan Cong Vinh,Abdur Rakib Confer
描述This book constitutes the refereed post-conference proceedings of the International Conferences ICCASA and ICTCC 2020, held in November 2020 in Thai Nguyen, Vietnam. . The 27 revised full papers presented were carefully selected from 68 submissions. The papers of ICCASA cover a wide spectrum in the area of context-aware-systems. CAS is characterized by its self- facets such as self-organization, self-configuration, self-healing, self-optimization, self-protection used to dynamically control computing and networking functions. The papers of ICTCC cover formal methods for self-adaptive systems and discuss natural approaches and techniques for computation and communication..
出版日期Conference proceedings 2021
关键词artificial intelligence; bandwidth; communication systems; context-awareness; computer networks; context-
版次1
doihttps://doi.org/10.1007/978-3-030-67101-3
isbn_softcover978-3-030-67100-6
isbn_ebook978-3-030-67101-3Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2021
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A Convolutional Neural Network on X-Ray Images for Pneumonia Diagnosiswell is the medical field, especially X-ray imaging. In this study, we propose a convolutional network architecture to classify chest X-ray images as well as apply explanatory methods to trained models to support disease diagnosis. The proposed method provides insight into medical imaging to support the diagnosis of Pneumonia.
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Vegetarianism and Science Fictionces, knowledge, and time to train. Those create a significant barrier for researchers. In this study, we propose a convolutional neural network architecture to detect abnormalities in bone images. The proposed method provides insight into medical images and explains in detail how the model supports the diagnosis.
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https://doi.org/10.1007/978-3-031-38437-0ranslating DML triggers to Event-B models. From the targeted model, we can verify the data constraints and detect infinite loops of trigger execution with RODIN. Finally, we take an example for illustration purpose. The proposed tool overcomes the complexity of formal modeling and makes them practical in the development.
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https://doi.org/10.1007/978-3-031-39175-0ation on map and immediately alerts users if data is in warning range. Mobile applications are also capable to retrieve web map services by using provided RESTful APIs. The system has made a great contribution to the local government for natural disasters monitoring and management in Lai Chau province.
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David Donoghue,Eleanor O’ Higginsed goals using the extracted rules from the ontologies and handles inconsistencies using conflicting contextual information. We illustrate the validity and correctness of the proposed formalism using a simple case study of a smart healthcare system with the prototypal implementation of the system.
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