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Titlebook: Information and Communication Technology for Development for Africa; First International Fisseha Mekuria,Ethiopia Enideg Nigussie,Tesfa Te

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Conference proceedings 2018ons. The papers address the impact of ICT in fostering economic development in Africa. In detail they cover the following topics: e-services, natural language processing, intelligent systems, mobile and wireless communication, privacy and security..
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1867-8211 2 submissions. The papers address the impact of ICT in fostering economic development in Africa. In detail they cover the following topics: e-services, natural language processing, intelligent systems, mobile and wireless communication, privacy and security..978-3-319-95152-2978-3-319-95153-9Series ISSN 1867-8211 Series E-ISSN 1867-822X
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Intelligent Transport System in Ethiopia: Status and the Way Forwards cutting solution to the above problems. The paper analyses and presents verifications of the hypothesis that if ITS is introduced, the nation would achieve better safety to life and property; less pollution; more efficient mobility traffic control and management; and better utilization of road networks and vehicles.
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Classification of Mammograms Using Convolutional Neural Network Based Feature Extractionography (DDSM) datasets were found to be promising compared to previous studies in the area of image processing, artificial intelligence and CNN with an accuracy of 98.75. and 98.90. on MIAS and DDSM dataset respectively.
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Experimenting Statistical Machine Translation for Ethiopic Semitic Languages: The Case of Amharic-Tis a target output with reference to translation model using word and morpheme as a unit. The result we found from the experiment is promising to design Amharic-Tigrigna machine translation system between resource deficient languages. We are now working on post-editing to enhance the performance of the bi-lingual Amharic-Tigrigna translator.
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Synchronized Video and Motion Capture Dataset and Quantitative Evaluation of Vision Based Skeleton TENS 3D Motion Capture System, which is used as a ground truth data and a video recording from a 3D sensor device. The dataset, could also be used to evaluate other full body skeleton tracking algorithms. In addition, sets of evaluation metrics are presented.
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