Titlebook: Innovations and Interdisciplinary Solutions for Underserved Areas; Third EAI Internatio Ghada Bassioni,Cheikh M.F. Kebe,Ababacar Ndiaye Con

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Neolithic

encyclopedia

Nada Tewfik,Marwa Abdel Latif,Mohamed Salheenprogramme.The only substantial treatment in any form of the .Why should mathematics, the purest of sciences, have a history? Medieval mathematicians took little interest in the history of their discipline. Yet in the Renaissance the history of mathematics flourished. This book explores how Renaissan

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Nourhan Ahmed,Abeer Elshater,Samy Afifiprogramme.The only substantial treatment in any form of the .Why should mathematics, the purest of sciences, have a history? Medieval mathematicians took little interest in the history of their discipline. Yet in the Renaissance the history of mathematics flourished. This book explores how Renaissan

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FUSE

Ousseynou Mbaye,Mouhamadou Lamine Ba,Gaoussou Camara,Alassane Sy,Balla Mbacké Mboup,Aldiouma Dialloprogramme.The only substantial treatment in any form of the .Why should mathematics, the purest of sciences, have a history? Medieval mathematicians took little interest in the history of their discipline. Yet in the Renaissance the history of mathematics flourished. This book explores how Renaissan

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programme.The only substantial treatment in any form of the .Why should mathematics, the purest of sciences, have a history? Medieval mathematicians took little interest in the history of their discipline. Yet in the Renaissance the history of mathematics flourished. This book explores how Renaissan

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goodwill

Distributed Network Slicing and User Association in Unequal STBC-SNR Branch,itialisation of the iterative algorithm compared to randomly choosing initial points. The proposed optimisation yields a dynamic selection of the slices with power control pertaining to the outdoor mobile terminal performance and the outage. The simulations show that the selection of a slice based o

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Follow Africa: Building an African News Recommender Systems,an African news recommender system. We introduce a recency-based recommendation model which also takes account of users’ previous readings. We show the effectiveness of our proposal through the results we obtain in a month-lasted online experiment with more than one hundred users.