naviiidz/hfus-mp-characterization: v1.0.0

This software release contains the code used for ultrasound-based characterization of microplastic particles, including material identification and particle size estimation using high-frequency ultrasound signals. The repository includes data processing pipelines, peak-based signal extraction routines, feature computation, and implementations of classical machine-learning methods as well as a one-dimensional convolutional neural network (1D-CNN) for material classification. Particle size estimation is implemented using material-specific machine-learning models trained on extracted acoustic features. The code is designed to operate with the accompanying Zenodo dataset and supports reproducible evaluation of ultrasound-based microplastic detection, classification, and size estimation workflows. This release corresponds to version v1.0.0 and is linked to the associated npj Emerging Contaminants publication.