About
N. Samsudin is a researcher with significant contributions to Computer Science and interdisciplinary applications in Medicine, Environmental Science, and Education. Active in publication from 2011 to 2021, their work spans pattern recognition, machine learning, medical diagnostics, and social behavior analysis.
- Key Research Areas: Pattern recognition, machine learning algorithms, medical image analysis, and data classification.
- Collaborations: Frequently collaborates with A. Mustapha, Riswan Efendi, M. M. Deris, and others across diverse fields.
- Notable Applications: Developed innovative systems for Arabic handwriting recognition, flu diagnosis, flood risk prediction, and restaurant technology.
While no specific awards or formal academic rank are explicitly stated in the provided texts, their extensive publication record indicates active engagement in research and interdisciplinary innovation.
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