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Titlebook: Internet of Things: A Case Study in Africa; Fadele Ayotunde Alaba Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi

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发表于 2025-3-21 17:21:48 | 显示全部楼层 |阅读模式
书目名称Internet of Things: A Case Study in Africa
编辑Fadele Ayotunde Alaba
视频videohttp://file.papertrans.cn/477/476458/476458.mp4
概述Provides a case study of Internet of Things in Africa.Presents challenges, opportunities and future trends in IoT in Nigeria.Proposes a novel security framework and defense mechanism
丛书名称Information Systems Engineering and Management
图书封面Titlebook: Internet of Things: A Case Study in Africa; Fadele Ayotunde Alaba Book 2024 The Editor(s) (if applicable) and The Author(s), under exclusi
描述.Explore the transformative potential of the Internet of Things (IoT) within the unique context of Africa. This comprehensive work delves into the challenges, opportunities, and future trends of IoT, with a particular focus on Nigeria. Readers will discover a novel security framework and defense mechanisms tailored to address the specific needs and vulnerabilities of IoT systems in the African setting. Unlike traditional texts, this book provides a detailed case study approach, illustrating real-world applications and implications of IoT in Africa. It covers a wide range of topics, including the integration of IoT in agriculture, healthcare, and urban development, and highlights both technological advancements and socio-economic impacts..Intended for researchers, practitioners, policymakers, and students, this book offers valuable insights and practical solutions. It serves as an essential resource for anyone looking to understand the dynamic landscape of IoT in Africa and leverage its potential for sustainable development. Key uses of this book include guiding the implementation of IoT projects in developing regions, informing policy formulation, and fostering innovation in IoT se
出版日期Book 2024
关键词Computational Intelligence; Internet of Things; Smart Cities; Industrial IoT; Data Analytics; IoT Adoptio
版次1
doihttps://doi.org/10.1007/978-3-031-67984-1
isbn_softcover978-3-031-69473-8
isbn_ebook978-3-031-67984-1Series ISSN 3004-958X Series E-ISSN 3004-9598
issn_series 3004-958X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 23:43:31 | 显示全部楼层
Fadele Ayotunde Alabaemocratic rights, defining welfare rights monitored on the political arena by collective decision-making. Social rights are usually expressed with explicit reference to equality and social inclusion. The issue has repeatedly entered public debate and social planning, promising a great leap forward a
放纵
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发表于 2025-3-22 03:31:47 | 显示全部楼层
Fadele Ayotunde Alabaetition between states on the basis of health and safety standards in order to lower costs and attract investment and production is one of the key fears embodied in the social dumping hypothesis: under conditions of economic integration, high-cost countries will be forced to lower their standards in
Charlatan
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发表于 2025-3-22 06:48:15 | 显示全部楼层
和平
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发表于 2025-3-22 09:58:37 | 显示全部楼层
confederacy
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发表于 2025-3-22 16:41:04 | 显示全部楼层
栖息地
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发表于 2025-3-22 19:09:06 | 显示全部楼层
Fadele Ayotunde Alabaumber of points is one of the most important problems when using the strain gauge data to monitor the state. In this work, the method was proposed to determine the optimal monitoring parameters based on tensometry data. The work is based on the analysis of the interrelation between the monitoring sy
Conquest
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发表于 2025-3-22 23:17:19 | 显示全部楼层
来这真柔软
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发表于 2025-3-23 04:02:36 | 显示全部楼层
Fadele Ayotunde Alabacted in proximity to existing underground infrastructure. In the UK, this infrastructure is of varying ages and the new construction poses a potential threat to the serviceability or integrity of existing structures in respect of their original SLS and ULS design capacities..One of the concerns is c
nonplus
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发表于 2025-3-23 06:49:16 | 显示全部楼层
Fadele Ayotunde Alabamodels generally requires a significant amount of data - which in the case of guided waves are costly and time-consuming to acquire. This limitation significantly reduces the application perspective of many advanced machine learning algorithms, most notably deep learning. The problem of data scarcit
Archipelago
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