Related references
Note: Only part of the references are listed.Assessing microplastic characteristics in bottled drinking water and air deposition samples using laser direct infrared imaging
Jenny Nizamali et al.
JOURNAL OF HAZARDOUS MATERIALS (2023)
Training and evaluating machine learning algorithms for ocean microplastics classification through vibrational spectroscopy
Henrique de Medeiros Back et al.
CHEMOSPHERE (2022)
Characterization of microplastics in sediment using stereomicroscopy and laser direct infrared (LDIR) spectroscopy
Yi-Ling Cheng et al.
GONDWANA RESEARCH (2022)
Flotation separation of hazardous polyvinyl chloride towards source control of microplastics based on selective hydrophilization of plasticizer-doping surfaces
Yingshuang Zhang et al.
JOURNAL OF HAZARDOUS MATERIALS (2022)
Automatic quantification and classification of microplastics in scanning electron micrographs via deep learning
Bin Shi et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2022)
Computer-Assisted Analysis of Microplastics in Environmental Samples Based on μFTIR Imaging in Combination with Machine Learning
Benedikt Hufnagl et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS (2022)
Characterization and identification of microplastics using Raman spectroscopy coupled with multivariate analysis
Naifu Jin et al.
ANALYTICA CHIMICA ACTA (2022)
Quantum cascade laser imaging (LDIR) and machine learning for the identification of environmentally exposed microplastics and polymers
Xin Tian et al.
ENVIRONMENTAL RESEARCH (2022)
Deep learning approach for automatic microplastics counting and classification
Javier Lorenzo-Navarro et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2021)
A comparison of spectroscopic analysis methods for microplastics: Manual, semi-automated, and automated Fourier transform infrared and Raman techniques
Young Kyoung Song et al.
MARINE POLLUTION BULLETIN (2021)
Validated spreadsheet for the identification of PE, PET, PP and PS microplastics by micro-ATR-FTIR spectra with known uncertainty
Vanessa Morgado et al.
TALANTA (2021)
Microplastic Spectral Classification Needs an Open Source Community: Open Specy to the Rescue!
Win Cowger et al.
ANALYTICAL CHEMISTRY (2021)
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
Leonid Mill et al.
SMALL METHODS (2021)
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
Shengli Jiang et al.
COMPUTERS & CHEMICAL ENGINEERING (2021)
Microplastic constituent identification from admixtures by Fourier-transform infrared (FTIR) spectroscopy: The use of polyethylene terephthalate (PET), polyethylene (PE), polypropylene (PP), polyvinyl chloride (PVC) and nylon (NY) as the model constituents
Chihhao Fan et al.
ENVIRONMENTAL TECHNOLOGY & INNOVATION (2021)
(Micro)plastics and the UN Sustainable Development Goals
Tony R. Walker
CURRENT OPINION IN GREEN AND SUSTAINABLE CHEMISTRY (2021)
What is known and unknown about the effects of plastic pollution: A meta-analysis and systematic review
K. Bucci et al.
ECOLOGICAL APPLICATIONS (2020)
SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen et al.
NATURE METHODS (2020)
Application of a Hybrid Fusion Classification Process for Identification of Microplastics Based on Fourier Transform Infrared Spectroscopy
Beauty K. Chabuka et al.
APPLIED SPECTROSCOPY (2020)
Critical Review of Processing and Classification Techniques for Images and Spectra in Microplastic Research
Win Cowger et al.
APPLIED SPECTROSCOPY (2020)
Classification and Quantification of Microplastics (<100 μm) Using a Focal Plane Array-Fourier Transform Infrared Imaging System and Machine Learning
Vitor H. da Silva et al.
ANALYTICAL CHEMISTRY (2020)
Array programming with NumPy
Charles R. Harris et al.
NATURE (2020)
Predicted growth in plastic waste exceeds efforts to mitigate plastic pollution
Stephanie B. Borrelle et al.
SCIENCE (2020)
Rapid Identification and Quantification of Microplastics in the Environment by Quantum Cascade Laser-Based Hyperspectral Infrared Chemical Imaging
Sebastian Primpke et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2020)
Spectral deep learning for prediction and prospective validation of functional groups
Jonathan A. Fine et al.
CHEMICAL SCIENCE (2020)
A machine learning algorithm for high throughput identification of FTIR spectra: Application on microplastics collected in the Mediterranean Sea
Mikael Kedzierski et al.
CHEMOSPHERE (2019)
A methodology for the fast identification and monitoring of microplastics in environmental samples using random decision forest classifiers
Benedikt Hufnagl et al.
ANALYTICAL METHODS (2019)
Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks
Sebastian Berisha et al.
ANALYST (2019)
Reference database design for the automated analysis of microplastic samples based on Fourier transform infrared (FTIR) spectroscopy
Sebastian Primpke et al.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2018)
Quantification of microplastic mass and removal rates at wastewater treatment plants applying Focal Plane Array (FPA)-based Fourier Transform Infrared (FT-IR) imaging
Marta Simon et al.
WATER RESEARCH (2018)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Distribution and quantity of microplastic on sandy beaches along the northern coast of Taiwan
Alexander Kunz et al.
MARINE POLLUTION BULLETIN (2016)
Potential Health Impact of Environmentally Released Micro- and Nanoplastics in the Human Food Production Chain: Experiences from Nanotoxicology
Hans Bouwmeester et al.
ENVIRONMENTAL SCIENCE & TECHNOLOGY (2015)
A critical assessment of visual identification of marine microplastic using Raman spectroscopy for analysis improvement
Robin Lenz et al.
MARINE POLLUTION BULLETIN (2015)
In Situ FT-IR Spectroscopic Study of CO2 and CO Adsorption on Y2O3, ZrO2, and Yttria-Stabilized ZrO2
Eva-Maria Koeck et al.
JOURNAL OF PHYSICAL CHEMISTRY C (2013)
An introduction to ROC analysis
Tom Fawcett
PATTERN RECOGNITION LETTERS (2006)