Open Access
| Issue |
E3S Web Conf.
Volume 688, 2026
The 2nd International Conference on Sustainable Environment, Development, and Energy (CONSER 2025)
|
|
|---|---|---|
| Article Number | 05005 | |
| Number of page(s) | 8 | |
| Section | Smart Technologies and Energy Solutions for a Low-Carbon Future | |
| DOI | https://doi.org/10.1051/e3sconf/202668805005 | |
| Published online | 20 January 2026 | |
- B. Sarmiento, Plastic trash from the 'sachet economy' chokes the Philippines' seas. Mongabay Environ. News. (2018). https://news.mongabay.com/2018/10/plastic-trash-from-the-sachet-economy-chokes-the-philippines-seas/ [Google Scholar]
- B. Cariaso, Philippines produces 61,000 million metric tons of waste daily. Philstar Global. (2023). https://www.philstar.com/headlines/2023/08/06/2286595/philippines-produces-61000-million-metric-tons-waste-daily [Google Scholar]
- I. Gozum, Communities bear the weight of the Philippines' plastic waste problem. Rappler. (2020). https://www.rappler.com/environment/tackling-plastic-waste-from-communities/ [Google Scholar]
- National Solid Waste Management Commission (NSWMC), Waste Analysis & Characterization / Solid Waste Generation Data (Marinduque — dashboard), NSWMC - EMB Philippines (2024). https://nswmc.emb.gov.ph/?pageid=10516 [Google Scholar]
- E. Torres, The sustainability quotient: Vending machine eco-innovations for a greener tomorrow. LeadGrowDevelop (2023). https://leadgrowdevelop.com/the-sustainability-quotient-vending-machine-eco-innovations-for-a-greener-tomorrow/ [Google Scholar]
- S. Laville, M. Taylor, A million bottles a minute: World's plastic binge 'as dangerous as climate change. The Guardian. (2017). https://www.theguardian.com/environment/2017/iun/28/a-million-a-minute-worlds-plastic-bottle-binge-as-dangerous-as-climate-change [Google Scholar]
- Can Manufacturers Institute, Aluminum beverage can production and recycling data (2020). https://www.cancentral.com [Google Scholar]
- H. Ruser, Object recognition with a smart low-cost active infrared sensor array. ResearchGate (2005). https://www.researchgate.net/publication/228944366 Object recognition with a smart low-cost active infrared sensor array [Google Scholar]
- H.D. Hoomod, S.M. Al-Chalabi, Objects detection and angles effectiveness by ultrasonic sensors HC-SR04, (2015). https://d1wqtxts1xzle7.cloudfront.net/79074643/ART20174419-libre.pdf [Google Scholar]
- J.W. Simatupang, Vincent, Shulhan, Reverse vending machine using TCRT5000 and inductive proximity sensors for bottles and cans sorting, President University Repository (2022). https://repository.president.ac.id/bitstream/handle/123456789/11131/ [Google Scholar]
- K. Morishita and D. Chung, Reverse vending machine, U.S. Patent Application US20120173014A1, July 5, (2012) [Google Scholar]
- W.G.P. Dumpayan, M.L.M. De Mesa, N.D.F. Yucor, E.T. Gabion, J.D. Reynoso, G.R.M. Geslani, Two-way powered microcontroller-based plastic bottles drop-and-tap reverse vending machine with stored value system using radio frequency identification (RFID) scanner technology, in Proc. 2017 IEEE 9th Int. Conf. Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM) (2017) 1–8. https://doi.org/10.1109/HNICEM.2017.8269433 [Google Scholar]
- D.M.W. Powers, Evaluation: From precision, recall, and F-measure to ROC, informedness, markedness & correlation. J. Mach. Learn. Technol. 2(1), 37–63 (2011). https://www.researchgate.net/publication/228529307 [NASA ADS] [Google Scholar]
- D. Chicco, G. Jurman, The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC Genomics. 21, 6 (2020). https://doi.org/10.1186/s12864-019-6413-7 [Google Scholar]
- M. Sokolova, G. Lapalme, A systematic analysis of performance measures for classification tasks. Inf. Process. Manag. 45(4), 427–437 (2009). https://doi.org/10.1016/j.ipm.2009.03.002 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.

