Solid waste bin level detection using gray level co-occurrence matrix feature extraction approach
- Author
- AREBEY, Maher1 ; HANNAN, M. A1 ; BEGUM, R. A2 ; BASRI, Hassan3
[1] Dept. of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia
[2] Institute for Environment & Development, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia
[3] Dept. of Civil & Structural Engineering, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi Selangor, Malaysia - Source
Journal of environmental management. 2012, Vol 104, pp 9-18, 10 p ; ref : 3/4 p
- CODEN
- JEVMAW
- ISSN
- 0301-4797
- Scientific domain
- Ecology; Environment; Pollution
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Classification and grading GLCM KNN MLP Solid waste monitoring and management
- Keyword (fr)
- Classification Déchet solide Détection Gestion déchet Gestion environnement
- Keyword (en)
- Classification Solid waste Detection Waste management Environmental management
- Keyword (es)
- Clasificación Residuos sólidos Detección Tratamiento desperdicios Gestiòn medio ambiente
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14D Applied ecology / 002A14D02 Conservation, protection and management of environment and wildlife / 002A14D02A General aspects
- Discipline
- Animal, vegetal and microbial ecology
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 25928182
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.jenvman.2012.03.035 
https://dx.doi.org/10.1016/j.jenvman.2012.03.035
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