Back to search

Article

Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN Model

2023-05-11

Abstract excerpt

Data scarcity is a significant challenge in the field of Machine Learning (ML), as data collection can be expensive, time-consuming, and difficult, particularly in developing countries. This challenge is exaggerated on the need to use dataset for livestock disease predictions for early intervention and surveillance. To address this challenge, this paper presents a data synthesis method that has been used to accura...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0bb4eb72-ca80-59b4-a178-b1d50f6ad1bf
DOI
10.20944/preprints202305.0777.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN ModelDOI 10.20944/preprints202305.0777.v1
Select a neighboring publication to make it the new centre.