Publication:
Comparison Of Google Earth Engine- Based Machine Learning Classifiers For Mapping Aquaculture Ponds In Sungai Udang, Penang

Simple item page
dc.contributor.authorArvinth A/L Rajandran
dc.date.accessioned2024-03-13T06:13:24Z
dc.date.available2024-03-13T06:13:24Z
dc.date.issued2023-02
dc.description.abstractThis study aims to evaluate the performance of different built-in machine learning classifiers such as Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Trees (CART) to map aquaculture ponds over Sungai Udang, Penang.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/18615
dc.subjectComparison Of Google Earth Engine
dc.subjectBased Machine Learning Classifiers
dc.subjectMapping Aquaculture Ponds
dc.subjectSungai Udang
dc.subjectPenang
dc.titleComparison Of Google Earth Engine- Based Machine Learning Classifiers For Mapping Aquaculture Ponds In Sungai Udang, Penang
dc.typeResource Types::text::thesis::master thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
Files
Collections
Pusat Pengajian Ilmu Kemanusiaan - Tesis