- Home
- Publications
- Publication Search
- Publication Details
Title
Recyclable waste image recognition based on deep learning
Authors
Keywords
Image recognition, Recyclable waste classification, Deep learning, Residual network, Self-monitoring module
Journal
RESOURCES CONSERVATION AND RECYCLING
Volume 171, Issue -, Pages 105636
Publisher
Elsevier BV
Online
2021-05-01
DOI
10.1016/j.resconrec.2021.105636
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models
- (2020) Mesut Toğaçar et al. MEASUREMENT
- Carbon emissions under different domestic waste treatment modes induced by garbage classification: Case study in pilot communities in Shanghai, China
- (2020) Sisi Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A fuzzy analysis framework for waste incineration power plant comprehensive benefit evaluation from refuse classification perspective
- (2020) Yunna Wu et al. JOURNAL OF CLEANER PRODUCTION
- A deep learning and image-based model for air quality estimation
- (2020) Qiang Zhang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A new learning interaction rule for municipal household waste classification behavior based on multi-agent-based simulation
- (2020) Liqiang Chen et al. JOURNAL OF CLEANER PRODUCTION
- A robust classification algorithm for separation of construction waste using NIR hyperspectral system
- (2019) Wen Xiao et al. WASTE MANAGEMENT
- Mechanisms of public education influencing waste classification willingness of urban residents
- (2019) Xiaoguang Liu et al. RESOURCES CONSERVATION AND RECYCLING
- Classification of plastic waste originated from waste electric and electronic equipment based on the concentration of antimony
- (2019) Ayah Alassali et al. JOURNAL OF HAZARDOUS MATERIALS
- Quality-based water and wastewater classification for waste-to-resource matching
- (2019) Cadence Hsien et al. RESOURCES CONSERVATION AND RECYCLING
- New classification of chemical hazardous liquid waste for the estimation of its energy recovery potential based on existing measurements
- (2018) Vasco Bolis et al. JOURNAL OF CLEANER PRODUCTION
- Classification of metallic and non-metallic fractions of e-waste using thermal imaging-based technique
- (2018) Sathish Paulraj Gundupalli et al. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
- A hierarchical classification approach for recognition of low-density (LDPE) and high-density polyethylene (HDPE) in mixed plastic waste based on short-wave infrared (SWIR) hyperspectral imaging
- (2018) Giuseppe Bonifazi et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Integration of life cycle assessment with monetary valuation for resource classification: The case of municipal solid waste incineration fly ash
- (2018) Florian Huber et al. RESOURCES CONSERVATION AND RECYCLING
- Is the finer the better for municipal solid waste (MSW) classification in view of recyclable constituents? A comprehensive social, economic and environmental analysis
- (2018) Yongyou Nie et al. WASTE MANAGEMENT
- Investigation on decision-making mechanism of residents’ household solid waste classification and recycling behaviors
- (2018) Xiaoyan Meng et al. RESOURCES CONSERVATION AND RECYCLING
- Identification and classification of polymer e-waste using laser-induced breakdown spectroscopy (LIBS) and chemometric tools
- (2017) Vinicius Câmara Costa et al. POLYMER TESTING
- Multi-material classification of dry recyclables from municipal solid waste based on thermal imaging
- (2017) Sathish Paulraj Gundupalli et al. WASTE MANAGEMENT
- Rotation invariant bin detection and solid waste level classification
- (2015) Fayeem Aziz et al. MEASUREMENT
- Validation of Microtox as a first screening tool for waste classification
- (2014) R. Weltens et al. WASTE MANAGEMENT
- A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland
- (2009) Wisdom M. Dlamini ENVIRONMENTAL MODELLING & SOFTWARE
- New methodology for hazardous waste classification using fuzzy set theory
- (2007) N. Musee et al. JOURNAL OF HAZARDOUS MATERIALS
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started