Machine Learning, Deep Learning, and IoT for Waste Classification and Intelligent Waste Management: A PRISMA-Based Systematic Review.
- DOI
- 10.3390/s26206569
- Published
- 2026 Oct 16
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3390/s26206569,
title = {Machine Learning, Deep Learning, and IoT for Waste Classification and Intelligent Waste Management: A PRISMA-Based Systematic Review.},
author = {Khan MR and Salam MA and Akter F and Rahman MW and Adarbah HY and Mahmud T and Noore A},
year = {2026},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s26206569},
url = {https://doi.org/10.3390/s26206569}
}RIS
TY - JOUR TI - Machine Learning, Deep Learning, and IoT for Waste Classification and Intelligent Waste Management: A PRISMA-Based Systematic Review. AU - Khan MR AU - Salam MA AU - Akter F AU - Rahman MW AU - Adarbah HY AU - Mahmud T AU - Noore A PY - 2026 JO - Sensors (Basel, Switzerland) DO - 10.3390/s26206569 UR - https://doi.org/10.3390/s26206569 ER -
APA
MR, K., MA, S., F, A., MW, R., HY, A., T, M., & A, N. (2026). Machine Learning, Deep Learning, and IoT for Waste Classification and Intelligent Waste Management: A PRISMA-Based Systematic Review.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26206569
Source records
- pubmed · retrieved 2026-11-10T11:16:49.642Z