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- Machine learning 1
- Machine learning, Regressors, Ensemble model, Temperature forecastin, Sahel region, Senegal 1
- Machine learning, Regressors, Gradient Boosting Regressor, Random Forest Regressor, CatBoost Regressor, Ridge Regression, Rainfall forecasting, Sub-Saharan Africa 1
- Machine Learning, Internet of Medical Things 1
- machine learning; artificial neural network; support vector machine; linear regression; alkali-activated termite soil; compressive strength 1
- machine learning; digital soil mapping; soil properties; smart soil 1
- Macroeconomic analysis of industry 1
- Magnetic properties 1
- maize , disease detection , convergence , AI , NLP , Chatbot , IoT , VOC 1
- Maize farmers 1
- maize farmers 1
- Maize, foliar application, NPK, nutrient-uptake, protein content 1
- Mali, Innovation platform, Cowpea seeds, Cowpea value chain 1
- Man's life depends on water in many ways. Worldwide industrialization and water resource exploitation have accelerated during the past few decades. Heavy metals and other pollutants., including effluent wastewater., are released into water streams as a result of industrial activity all over the world. Due to their toxicity., these contaminants are thought to be hazardous to both man and the environment and lower the quality of water. Even in low concentrations., heavy metals can be extremely harmful to living things. Numerous methods have been investigated for treating wastewater for many years. However., the discipline of nanotechnology has recently shown the world how to solve the issue of wastewater treatment using creative and practical methods. 1
- Mango producers 1
- Mango, Côte d'Ivoire, fungal pathogens 1
- Manicaland Province of Zimbabwe 1
- Manufacturing,Metal oxide nanoparticles,Metals,Nanoparticles,Surfactants 1
- Marginalization 1
- marginalization 1