microplastics

(micro)Plastic Spectroscopy Analysis Tool

Explainable Detection of Microplastics using Transformer Neural Networks. Includes codes for a classification transformer aimed at classifying microplastic FTIR data.

Application for object detection of microfibers in sludge samples extracted from residual water treatment plants.

Data and code repository for MicroPlastiX spectroscopic measurements

Revised version of the standard data checker, to be used as a template for starting any data checker app

Code and data accompanying the paper Revell et al. (2021), “Direct radiative effects of airborne microplastics”.

This repository contains GPU accelerated version of the particle tracking model developed by Merel Kooi for biofouled microplastic particles ( available at: https://pubs.acs.org/doi/10.1021/acs.est.6b04702) written in CUDA Fortran and CUDA Python. This repository is intended as a learning tool for GPU programming.

A method for aged MP identification

Belief-state deep reinforcement learning for information-efficient autonomous beach microplastic sampling

Arctic Ocean circulation modeling for PFAS/microplastics transport research. MITgcm + ECCO LLC270 grid, ERA5 wind forcing. UNC Charlotte OUR / Tipton Lab.

A photometric analysis system for detecting and quantifying microplastics in water samples. Utilizes light intensity measurements to estimate concentration and particle characteristics.

Reproducible analysis workflow and spectral dataset for broadband illumination spectroscopy-based plastic classification.

Predicting marine microplastic concentration using machine learning. This undergraduate AI course project compares Random Forest, XGBoost, KNN, and Stacking Regressor using environmental data.

A pathway-level bioinformatics tool for conservative evidence-based detection of bioremediation capabilities from bacterial genome annotations.

Domain adaptation for microplastic classification using transformers and reflectance micro-FTIR spectroscopy.