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In addition, these models are currently too expensive to run in large ensembles, and so are not currently cost-effective replacements for existing ensemble models. At the same …
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Deep learning and machine learning techniques present unmatched opportunities to improve healthcare in sub-Saharan Africa (SSA). However, there is a paucity of literature on AI …
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Training machine learning models for speech recognition in low-resource African languages presents a unique set of challenges but also opens up a world of opportunities. The key to …
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and few publicly available benchmarks for African machine translation models exist. To begin to solve the highlighted problems, we train neural machine translation (NMT) models for a subset …
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Masakhane is a grassroots organisation whose mission is to strengthen and spur NLP research in African languages, for Africans, by Africans. Despite the fact that 2000 of the world's …
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In conclusion, our study was able to use explainable machine learning models to predict pregnancy termination among reproductive-aged women on DHS data from six …
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Many studies have estimated rainfall using machine learning models in many parts of the world. Partal and Kişi [39] developed a prediction model by combining a wavelet approach …
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This study employed eight advanced machine learning algorithms to predict the status of micronutrient supplementation among pregnant women in 12 East African countries, …
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Scientists have recently unveiled a first-ever weather forecasting model using artificial intelligence (AI) and machine learning solutions to help vulnerable African countries build resilience to ...
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AI models can't understand African languages. Lelapa AI is trying to change that. Inside a co-working space in the Rosebank neighborhood of Johannesburg, Jade Abbott popped open a tab on her ...
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African women are among the most beautiful in the world for hundreds of years, attracting the attention of many fashion designer brands in the past and present. And it is true that African models are gaining the attention they deserve in the …
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and few publicly available benchmarks for African machine translation models exist. To begin to solve the highlighted problems, we train neural machine translation (NMT) models for a subset …
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To start to address these problems, we trained neural machine translation models for a subset of Southern African languages on publicly-available datasets. We provide the code for training the models and evaluate the models on a newly …
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This study assesses the applications of machine learning models in the prediction of pregnancy termination using data from eleven national datasets in East Africa. Nine …
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A wave of agricultural machines and digital applications for farmers is swelling in Sub-Saharan Africa. This innovation, spilling from the continent's universities and start-ups, …
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You can train a YOLO11 model on the African Wildlife Dataset by using the african-wildlife.yaml configuration file. Below is an example of how to train the YOLO11n model for 100 …
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Africa has over 2000 languages and yet is one of the least represented in NLP research. The rise in ML community efforts on the African continent has led to a vibrant NLP community. ...
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Predicting Contraceptive Usage for Married African Women Residing in Rural Areas: A Comparative Study of Deep Learning and Machine Learning Models with XAI …
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Agricultural mechanisation is on the rise in Africa, replacing hand hoes and animal traction across the continent. While around 80-90% of all farmers still rely on manual labour or …
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This study, motivated to fill these gaps by constructing explainable artificial intelligence models, assessed the underlying structure of pregnancy termination in a sample data set monitored in …
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This study used a machine learning model for predicting not using family planning and its determinants among reproductive-age women in east Africa that can be used for …
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Our FSNet-Africa research team will thus focus on evaluating the factors that influence farmers' choice of specific mechanisation models. This study will consider gender, including men and women's roles, responsibilities, and …
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