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Romanus Hadyanto Ongan on Muck Rack

Romanus Hadyanto Ongan

As seen in: ACS Publications
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Articles

Shapley Additive exPlanations-Integrated Convolutional Neural Networks for Chemically Interpretable Fourier-Transform Infrared-Based Microplastic Characterization Click to copy article link Article link copied!

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By Ahmad Adi, Romanus Hadyanto Ongan, Humairah Humairah
| dx.doi.org
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Shapley Additive exPlanations-Integrated Convolutional Neural Networks for Chemically Interpretable Fourier-Transform Infrared-Based Microplastic Characterization Click to copy article link Article link copied!

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By Ahmad Adi, Romanus Hadyanto Ongan, Humairah Humairah
| ACS Publications
Abstract Click to copy section linkSection link copied! Fourier-transform infrared (FTIR) spectroscopy is a widely adopted technique for microplastic (MP) identification due to its molecular sensitivity and nondestructive nature. However, many FTIR–machine learning (ML) approaches operate as black-box classifiers, providing limited transparency regarding the spectral regions that drive model decisions and thereby constraining confidence in automated analysis.
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