Accurate Characterization of Mixed Plastic Waste Using Machine Learning and Fast Infrared Spectroscopy

[1]  Matthew Dickerson,et al.  Simple algorithms for enumerating interpoint distances and finding $k$ nearest neighbors , 1992, Int. J. Comput. Geom. Appl..

[2]  Victor M. Zavala,et al.  Convolutional neural nets in chemical engineering: Foundations, computations, and applications , 2021, AIChE Journal.

[3]  Colin E. Snape,et al.  Recyling of plastic wastes via pyrolysis , 2000 .

[4]  P. Awoyera,et al.  Plastic wastes to construction products: Status, limitations and future perspective , 2020, Case Studies in Construction Materials.

[5]  Matthew Maimaitiyiming,et al.  dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery , 2019, Remote Sensing of Environment.

[6]  Budiman Minasny,et al.  Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra , 2019, Geoderma.

[7]  Seok-Beom Roh,et al.  Development of intelligent sorting system realized with the aid of laser-induced breakdown spectroscopy and hybrid preprocessing algorithm-based radial basis function neural networks for recycling black plastic wastes , 2018, Journal of Material Cycles and Waste Management.

[8]  Clement Atzberger,et al.  Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data , 2012, Remote. Sens..

[9]  W. Becker,et al.  Detection of Black Plastics in the Middle Infrared Spectrum (MIR) Using Photon Up-Conversion Technique for Polymer Recycling Purposes , 2017, Polymers.

[10]  Christian Pedersen,et al.  Ultra-broadband mid-wave-IR upconversion detection. , 2017, Optics letters.

[11]  Qi Wu,et al.  Acoustic emission detection and position identification of transverse cracks in carbon fiber–reinforced plastic laminates by using a novel optical fiber ultrasonic sensing system , 2015 .

[12]  J. Lopez‐Cuesta,et al.  Alterations of plastics spectra in MIR and the potential impacts on identification towards recycling , 2020, Resources, Conservation and Recycling.

[13]  Didier Perrin,et al.  MIR spectral characterization of plastic to enable discrimination in an industrial recycling context: II. Specific case of polyolefins. , 2019, Waste management.

[14]  Jeppe Seidelin Dam,et al.  Room-temperature mid-infrared single-photon spectral imaging , 2012, Nature Photonics.

[15]  Tim Oates,et al.  Encoding Time Series as Images for Visual Inspection and Classification Using Tiled Convolutional Neural Networks , 2014 .

[16]  Eamonn J. Keogh,et al.  Scaling up dynamic time warping for datamining applications , 2000, KDD '00.

[17]  H. Wiebeck,et al.  Current options for characterizing, sorting, and recycling polymeric waste , 2020 .

[18]  Fei Wang,et al.  Deep learning for healthcare: review, opportunities and challenges , 2018, Briefings Bioinform..

[19]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[20]  Sebastian Wolf,et al.  Neue Methoden der laserbasierten Gasanalytik , 2016 .

[21]  A. Ghulam,et al.  Unmanned Aerial System (UAS)-Based Phenotyping of Soybean using Multi-sensor Data Fusion and Extreme Learning Machine , 2017 .

[22]  G. Jin,et al.  Plastic solid waste identification system based on near infrared spectroscopy in combination with support vector machine , 2019, Advanced Industrial and Engineering Polymer Research.

[23]  F. Harren,et al.  Mid-infrared supercontinuum-based upconversion detection for trace gas sensing. , 2019, Optics express.

[24]  J. Amigo,et al.  Classification and quantification of microplastic (< 100 µm) using FPA-FTIR imaging system and machine learning. , 2020, Analytical chemistry.

[25]  Jan Hendrik Witte,et al.  Deep Learning for Finance: Deep Portfolios , 2016 .

[26]  Halim H. Redhwi,et al.  Identification of different type of polymers in plastics waste , 2008, Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering.

[27]  Comparison of an InSb Detector and Upconversion Detector for Infrared Polarization Spectroscopy , 2017, Applied spectroscopy.

[28]  Long Yu,et al.  Polymer blends and composites from renewable resources , 2006 .

[29]  Atul Thakur,et al.  A review on automated sorting of source-separated municipal solid waste for recycling. , 2017, Waste management.

[30]  Ankur Taly,et al.  Axiomatic Attribution for Deep Networks , 2017, ICML.

[31]  Paul Geladi,et al.  Hyperspectral Imaging and Data Analysis for Detecting and Determining Plastic Contamination in Seawater Filtrates , 2016 .

[32]  Charles T. Marx,et al.  Rapid Identification of Marine Plastic Debris via Spectroscopic Techniques and Machine Learning Classifiers. , 2020, Environmental science & technology.

[33]  Bernhard Schölkopf,et al.  Comparing support vector machines with Gaussian kernels to radial basis function classifiers , 1997, IEEE Trans. Signal Process..

[34]  L. Meng,et al.  Enhancing the detectivity of an upconversion single-photon detector by spatial filtering of upconverted parametric fluorescence. , 2018, Optics express.

[35]  Xiaoyi Chen,et al.  1D convolutional neural network for the discrimination of aristolochic acids and their analogues based on near-infrared spectroscopy , 2019, Analytical Methods.

[36]  Christian Pedersen,et al.  High-resolution mid-IR spectrometer based on frequency upconversion. , 2012, Optics letters.