Personal Information
Unternehmen/Arbeitsplatz
Manzini, Manzini Swaziland
Beruf
Geospatial Data Scientist, Environmental Scientist
Branche
Education
Info
Dr. Dlamini is an environmental and geospatial data scientist. He also lectures on Ecology, Applied Biology, Remote Sensing and GIS at the University of Swaziland. His experience spans a wide variety of scientific and management areas such as environmental science, environmental law, ecology, remote sensing, and geographic information systems. He also has experience in consulting, lecturing and research in the same fields. His research passions are in artificial intelligence and machine learning applications, particularly Bayesian networks in applied remote sensing, geospatial and ecological modeling and biodiversity-climate interactions. He has also published various articles in peer-rev...
Tags
invasive species
bayesian network
environment
remote sensing
forest fire
gis
earth observation
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Präsentationen
(2)Gefällt mir
(2)Bayesian network-based predictive analytics applied to invasive species distribution
Wisdom Dlamini
•
Vor 8 Jahren
Theories and Applications of Spatial-Temporal Data Mining and Knowledge Discovery
Beniamino Murgante
•
Vor 12 Jahren
Personal Information
Unternehmen/Arbeitsplatz
Manzini, Manzini Swaziland
Beruf
Geospatial Data Scientist, Environmental Scientist
Branche
Education
Info
Dr. Dlamini is an environmental and geospatial data scientist. He also lectures on Ecology, Applied Biology, Remote Sensing and GIS at the University of Swaziland. His experience spans a wide variety of scientific and management areas such as environmental science, environmental law, ecology, remote sensing, and geographic information systems. He also has experience in consulting, lecturing and research in the same fields. His research passions are in artificial intelligence and machine learning applications, particularly Bayesian networks in applied remote sensing, geospatial and ecological modeling and biodiversity-climate interactions. He has also published various articles in peer-rev...
Tags
invasive species
bayesian network
environment
remote sensing
forest fire
gis
earth observation
Mehr anzeigen