Waste Classification Based on Computer Vision Using Deep Learning Models and Public Awareness
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69197-3_3
Reference15 articles.
1. Shaikh, F., Kazi, N., Khan, F., Thakur, Z.: Waste profiling and analysis using machine learning. In: 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2020, pp. 488–492(2020)
2. Olugboja, A., Wang, Z.: Intelligent waste classification system using deep learning convolutional neural network. Procedia Manuf. 35, 607–612 (2019)
3. Sami, K.N., Amin, Z.M.A., Hassan, R.: Waste management using machine learning and deep learning algorithms. IJPCC 6(2), 97–106 (2020)
4. Ramsurrun, N., Suddul, G., Armoogum, S., Foogooa, R.: Recyclable waste classification using computer vision and deep learning. In: 2021 Zooming Innovation in Consumer Technologies Conference (ZINC), Novi Sad, Serbia, 2021, pp. 11–15 (2021)
5. Morar, F., Bucur, B.: Raising awareness on waste generation and collection. Procedia Eng. 181, 452–458 (2017)
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