Daniel Tom Agara
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Research Areas
Biography and Research Information
OverviewAI-generated summary
Daniel Tom Agara's research focuses on the application of machine learning models. His work has explored the development of such models for multi-sector fraud detection within public and private financial systems. Agara's most recent publication in this area was released in 2026, indicating recent activity in the field.
Metrics
- Publications: 1
Selected Publications
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Machine Learning Models for Multi Sector Fraud Detection in Public and Private Financial Systems (2026)
Collaboration Network
Top Collaborators
- Machine Learning Models for Multi Sector Fraud Detection in Public and Private Financial Systems
- Machine Learning Models for Multi Sector Fraud Detection in Public and Private Financial Systems
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