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
Mesut Togacar et al.
MEASUREMENT (2020)
Carbon emissions under different domestic waste treatment modes induced by garbage classification: Case study in pilot communities in Shanghai, China
Sisi Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
A fuzzy analysis framework for waste incineration power plant comprehensive benefit evaluation from refuse classification perspective
Yunna Wu et al.
JOURNAL OF CLEANER PRODUCTION (2020)
A deep learning and image-based model for air quality estimation
Qiang Zhang et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
A new learning interaction rule for municipal household waste classification behavior based on multi-agent-based simulation
Liqiang Chen et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Circular economy of post-consumer textile waste: Classification through infrared spectroscopy
Jordi-Roger Riba et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Intelligent Fusion of Deep Features for Improved Waste Classification
Kashif Ahmad et al.
IEEE ACCESS (2020)
A robust classification algorithm for separation of construction waste using NIR hyperspectral system
Wen Xiao et al.
WASTE MANAGEMENT (2019)
Mechanisms of public education influencing waste classification willingness of urban residents
Xiaoguang Liu et al.
RESOURCES CONSERVATION AND RECYCLING (2019)
Classification of plastic waste originated from waste electric and electronic equipment based on the concentration of antimony
Ayah Alassali et al.
JOURNAL OF HAZARDOUS MATERIALS (2019)
Investigation on decision-making mechanism of residents' household solid waste classification and recycling behaviors
Xiaoyan Meng et al.
RESOURCES CONSERVATION AND RECYCLING (2019)
Quality-based water and wastewater classification for waste-to-resource matching
Cadence Hsien et al.
RESOURCES CONSERVATION AND RECYCLING (2019)
Intelligent Waste Classification System Using Deep Learning Convolutional Neural Network
Olugboja Adedeji et al.
2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS PROCESSING AND MANUFACTURING (SMPM 2019) (2019)
New classification of chemical hazardous liquid waste for the estimation of its energy recovery potential based on existing measurements
Vasco Bolis et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Classification of metallic and non-metallic fractions of e-waste using thermal imaging-based technique
Sathish Paulraj Gundupalli et al.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2018)
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
Giuseppe Bonifazi et al.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY (2018)
Integration of life cycle assessment with monetary valuation for resource classification: The case of municipal solid waste incineration fly ash
Florian Huber et al.
RESOURCES CONSERVATION AND RECYCLING (2018)
Is the finer the better for municipal solid waste (MSW) classification in view of recyclable onstituents? A comprehensive social, economic and environmental analysis
Yongyou Nie et al.
WASTE MANAGEMENT (2018)
Identification and classification of polymer e-waste using laser-induced breakdown spectroscopy (LISS) and chemometric tools
Vinicius Camara Costa et al.
POLYMER TESTING (2017)
Multi-material classification of dry recyclables from municipal solid waste based on thermal imaging
Sathish Paulraj Gundupalli et al.
WASTE MANAGEMENT (2017)
Rotation invariant bin detection and solid waste level classification
Fayeem Aziz et al.
MEASUREMENT (2015)
Validation of Microtox as a first screening tool for waste classification
R. Weltens et al.
WASTE MANAGEMENT (2014)
Bayesian evaluation of two conventional diagnostic methods for pathogenic fungal infections
Mahesh C. Sahu et al.
JOURNAL OF ACUTE MEDICINE (2014)
A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland
Wisdom M. Dlamini
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
New methodology for hazardous waste classification using fuzzy set theory - Part I. Knowledge acquisition
N. Musee et al.
JOURNAL OF HAZARDOUS MATERIALS (2008)
Share Paper
