[P-CTh13] C13. Optical Signal Processing

[P-CTh13-01] Classifying Nitrate in Aqueous Solution using Supervised Machine Learning based on Spectroscopic Technique

*Rozita Sulaiman¹, Nur Hidayah Azeman¹, Nur Afifah Ahmad Nazri¹, Mohd Hafiz Abu Bakar¹, Athiyah Sakinah Masran¹, Ahmad Ashrif A Bakar¹ (1. Universiti Kebangsaan Malaysia (Malaysia))

[Presentation Style] Onsite

We demonstrate the classification of nitrate concentration in mixed solution based on spectroscopy measurements. Dimensionality reduction techniques and supervised machine learning classifiers were employed where the PCA-SVM model outperforms other models with 97.8% accuracy.