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Titlebook: e-Infrastructure and e-Services for Developing Countries; 11th EAI Internation Rafik Zitouni,Max Agueh,Hénoc Soude Conference proceedings 2

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Classification of Plant Species by Similarity Using Automatic Learningorresponding algorithms which are K-Means algorithms and decision trees. Thus we developed two classification models with each of these algorithms. The performance indicators of these models revealed different figures. We have concluded that one of these algorithms is more effective than the other in grouping our plants by similarity.
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1867-8211 oping Countries, AFRICOMM 2019, held in Porto-Novo, Benin, in December 2019. The 19 full papers were carefully selected from 46 submissions. The accepted papers provide a wide range of research topics including targeted infrastructures, Internet of Things (IoT), wireless and mobile networks, intelli
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On the Relevance of Using Multi-layered Security in the Opportunistic Internet-of-Things which has greatly increased in number of connected objects with instantaneous communication, data processing and pervasive access to the objects that we manipulate daily. However, WSNs may sometimes need to be deployed in an opportunistic fashion when there is no network with stable power supply av
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Africa’s Multilateral Legal Framework on Personal Data Security: What Prospects for the Digital Envis have been raised as regards the security risks related to critical ICT network infrastructures in the continent, as well as the safeguarding of the fundamental rights of Africans through the protection of their personal data, especially those shared online. One of such concerns is personal data se
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A LoRaWAN Coverage Testbed and a Multi-optional Communication Architecture for Smart City Feasibilittation solutions can be used to fill the gaps. But since these difficulties may not affect everyone, then, affordable wireless communication, such as Wi-Fi, with direct access to Internet from the collection node, may be useful for data transmission. This article, first, discusses a coverage study b
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