Browsing Faculty of Natural Sciences by Subject "Vector machine"
Now showing items 1-2 of 2
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Evaluating the impact of land use and land cover change on unprotected wetland ecosystems in the arid-tropical areas of South Africa using the Landsat dataset and support vector machine
(Taylor and Francis Group, 2022)The study explored the impact of Land Use and Land Cover (LULC) change dynamics in relation to the condition and status of an unprotected wetland located in the arid-tropical parts of the Limpopo Province, South Africa. ... -
Regional rainfall prediction using support vector machine classification of large-scale precipitation maps
(Institute of Electrical and Electronics Engineers Inc., 2020)Rainfall prediction helps planners anticipate potential social and economic impacts produced by too much or too little rain. This research investigates a class-based approach to rainfall prediction from 1-30 days in advance. ...