In South Africa, computer scientists have built machine learning models to analyze the impact of racial segregation in housing. And in Nairobi, Kenya, AI classifies images from thousands of ...
2.2. Data inputs. The Soil & Water Assessment Tool (SWAT) relies on hydroclimatic and spatial data for model setup and hydrological simulations. The Ethiopian Meteorological Institute (EMI) collected daily rainfall, maximum temperature (Tmax), minimum temperature (Tmin), wind speed, relative humidity, and solar radiation hour …
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To begin addressing these problems, we trained models to translate English to five of the official South African languages (Afrikaans, isiZulu, Northern Sotho, Setswana, Xitsonga), making use of modern neural machine translation techniques. The results obtained show the promise of using neural machine translation techniques for …
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The present study is novel in its choice of input parameters. While previous research has explored various computational techniques and machine learning models for predicting the UCS of rocks, few studies have examined the use of machine learning models for predicting UCS values from a combination of mechanical properties of …
First, the model is directly trained with the African samples (yellow). Second, the model is trained using only the large Spanish dataset (red). Finally, the pre-trained Spanish model is fine ...
KIGALI, Jul 20 2023 (IPS) - Scientists have recently unveiled a first-ever weather forecasting model using artificial intelligence (AI) and machine learning solutions to help vulnerable African ...
On Wednesday Meta, the giant tech company formerly known as Facebook announced that it has built and open-sourced 'No Language Left Behind' NLLB-200, a single AI model that is the first to ...
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. ... Spotlight Talk 4 : Machine Translation For African Languages: Community Creation Of Datasets And Models In Uganda ...
Sewing machines, she notes, arrived in Africa around the same time as the camera. They were a means of economic power, much as they are today. ... My model is the Arab Image Foundation [in Lebanon ...
African Machine has been our go-to source for machinery purchases. Their team is knowledgeable, responsive, and always delivers top-notch equipment. Testimonials. …
African swine fever virus (ASFV) causes a highly contagious and severe hemorrhagic viral disease with high mortality in domestic pigs of all ages. ... Results from the present study suggest that molecular docking and machine learning models can play an important role in identifying potential antiviral drugs against ASFVs. African swine …
PDF | On Jan 1, 2022, Cedric Lontsi Saadio and others published Crops Yield Prediction Based on Machine Learning Models: Case of West African Countries | Find, read and cite all the research you ...
Generative Models for Decision Making: 5th Workshop on African Natural Language Processing (AfricaNLP 2024) Integrating Generative and Experimental Platforms or Biomolecular Design: Workshop on Large Language Models for Agents: Machine Learning for Genomics Explorations (MLGenX) Navigating and Addressing Data …
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Machine learning (ML) models have already been identified as a viable way forward in conflict risk projections (Colaresi and Mahmood 2017). Here, we use CoPro, a novel open-source ML model (Hoch et al 2021a), to disentangle historical relations between socioeconomic as well as hydro-climatic indicators and armed conflict. Compared to the …
In this work we present AFRIGAN, a generative adversarial model for contemporary African fashion images. AFRIGAN can be leveraged as a tool for realistic …
JANOME Corporation from Japan, established in 1921, is the largest manufacturer of sewing machines in the world and is making machines under various Brand names.They are involved in South Africa and Pick n Pay for more that 35 years and since 1995 with their SA Agent, Emnic Pty Ltd. Emnic has Service Agents all over South Africa .
The machine learning (ML) paradigm has gained much popularity today. Its algorithmic models are employed in every field, such as natural language processing, pattern recognition, object detection, image recognition, earth observation and many other research areas. In fact, machine learning technologies and their inevitable impact …
The spread of African swine fever (ASF) poses a grave threat to the global swine industry. Without an available vaccine, understanding transmission dynamics is essential for designing effective prevention, surveillance, and intervention strategies. ... Future models, built to identify the optimal contributions across many control methods for ...
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 ...
Table 1 presents a statistical summary of characteristic elements used in traditional agricultural techniques in East Africa. Temperature and rainfall are the variables dependent on climatic conditions while Pesticide and N 2 O are strongly related to farmers' actions. In East Africa, temperatures vary between 18 ∘ C and 28 ∘ C with an average …
Predicting Contraceptive Usage for Married African Women Residing in Rural Areas: A Comparative Study of Deep Learning and Machine Learning Models with XAI Insights May 2023 DOI: 10.21203/rs.3.rs ...
Kaneko et al. [9] recently proposed a crop yield study focusing on African countries.They used a deep learning architecture on satellite image data to predict …
African languages are numerous, complex and low-resourced. The datasets required for machine translation are difficult to discover, and existing research is hard to reproduce.
We had promising results with both models when using three machine learning models. we found that decision tree model(𝑅2 = 95,3%) performs better than the K-Nearest Neighbor model(𝑅2 = 93, 15%) and the logistic regression(𝑅2 = 89, 78%). ... Charles Lebon Mberi, Crops Yield Prediction Based on Machine Learning Models: Case of West ...
The African model of innovation. Both IBM Research's offices in Kenya and South Africa and Google's AI lab in Ghana share …