
Article Menu
-
Academic Editors
Elena Rada
Marco Ragazzi
Ioannis Katsoyiannis
Elena Magaril
Paolo Viotti
Hussain H. Al-Kayiem
Marco Schiavon
Gabriela Ionescu
Natalia Sliusar
- Subscribe SciFeed
- Recommended Articles
- Related Info Link
- More by Authors Links
Need Help?
Order Article Reprints
Journal: Sustainability, 2022
Volume: 14
Number: 7222
7222
Article:
Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models
Authors:
by
Meena Malik, Sachin Sharma, Mueen Uddin, Chin-Ling Chen, Chih-Ming Wu, Punit Soni and Shikha Chaudhary
Link:
https://www.mdpi.com/2071-1050/14/12/7222
MDPI offers high quality article reprints with convenient shipping to destinations worldwide. Each reprint features a 270 gsm bright white cover
and 105 gsm premium white paper, bound with two stitches for durability and printed in full color. The cover design is customized to your article
and designed to be complimentary to the journal.
Cite
Malik, M.; Sharma, S.; Uddin, M.; Chen, C.-L.; Wu, C.-M.; Soni, P.; Chaudhary, S. Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models. Sustainability 2022, 14, 7222. https://doi.org/10.3390/su14127222
Malik M, Sharma S, Uddin M, Chen C-L, Wu C-M, Soni P, Chaudhary S. Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models. Sustainability. 2022; 14(12):7222. https://doi.org/10.3390/su14127222
Chicago/Turabian StyleMalik, Meena, Sachin Sharma, Mueen Uddin, Chin-Ling Chen, Chih-Ming Wu, Punit Soni, and Shikha Chaudhary. 2022. "Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models" Sustainability 14, no. 12: 7222. https://doi.org/10.3390/su14127222
APA StyleMalik, M., Sharma, S., Uddin, M., Chen, C.-L., Wu, C.-M., Soni, P., & Chaudhary, S. (2022). Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models. Sustainability, 14(12), 7222. https://doi.org/10.3390/su14127222