Titlebook: Housing Market Dynamics in Africa; El-hadj M. Bah,Issa Faye,Zekebweliwai F. Geh Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if applicable) and the Au

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El-hadj M. Bah,Issa Faye,Zekebweliwai F. Gehtaset. A convolutional neural network model was used to classify the images. When evaluated on a test set, an accuracy of 90.48% was obtained for the classification of 2 classes. These results demonstrate the efficacy and robustness of the approach to assess range of motion in patients undergoing ha

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El-hadj M. Bah,Issa Faye,Zekebweliwai F. Gehgies requires forward-thinking leadership, organizational agility, new capabilities, and a supportive culture. This study contributes original empirical insights and an actionable framework for leveraging technologies strategically to enhance the competitiveness and sustainability of universities du

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El-hadj M. Bah,Issa Faye,Zekebweliwai F. Gehights into where to invest resources to develop artificial intelligence capabilities towards audit objectives; sheds light to managers on which capabilities should be encouraged in decisions to ensure reliability in the information produced for decision-making by stakeholders; and shows managers whi

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actionable measures for policy makers and other stakeholders on how best to provide affordable housing and alleviate Africa’s housing deficit. This work will be of particular interest to practitioners, non-gov978-1-137-59792-2

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The Housing Sector in Africa: Setting the Scene,ance of the housing sector in African economies. It identifies the key constraints to the sector’s development, and the outlook for the market, as well as opportunities and bottlenecks in terms of governance.

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Unlocking Land Markets and Infrastructure Provision,hapter also argues that the provision of basic infrastructure, especially transport infrastructure, not only shapes cities, but is also an important determinant of housing affordability, particularly for low-income families.