APPLICATION OF MACHINE LEARNING TECHNIQUES TO PREDICT SOME GEOTECHNICAL INDICES IN EKITI STATE, SOUTHWESTERN NIGERIA

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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA.Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern GhanaApplication of Machine Learning Techniques to Estimate Unsoaked California Bearing Ratio in Ekiti Central Senatorial DistrictApplication of GIS and Machine Learning to Predict Flood Areas in NigeriaMachine Learning Techniques to Predict Fetal Nutritional StatusMobile-based application to predict children under five nutritional status using machine learning techniques

MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA.

Context and background: Agricultural land use planning is vital for sustainable development, requi

Application of machine learning techniques to predict groundwater quality in the Nabogo Basin, Northern Ghana

Application of Machine Learning Techniques to Estimate Unsoaked California Bearing Ratio in Ekiti Central Senatorial District

International audience This paper investigates the relationship between soil physical

Application of GIS and Machine Learning to Predict Flood Areas in Nigeria

Floods are one of the most devastating forces in nature. Several approaches for identifying flood-pr

Machine Learning Techniques to Predict Fetal Nutritional Status

Objectives: Malnutrition remains the leading cause of child mortality in Tanzania, with over 34% of

Mobile-based application to predict children under five nutritional status using machine learning techniques

Malnutrition tends to be one of the most important reasons for child mortality in Tanzania and other