An optimal solid waste management using red fox optimization and hybrid DenseNet-BiLSTM model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-11544-8.pdf
Reference25 articles.
1. Alidoust, P., Keramati, M., Hamidian, P., Amlashi, A. T., Gharehveran, M. M., & Behnood, A. (2021). Prediction of the shear modulus of municipal solid waste (MSW): An application of machine learning techniques. Journal of Cleaner Production, 303, 127053. https://doi.org/10.1016/j.jclepro.2021.127053
2. Alqahtani, F., Al-Makhadmeh, Z., Tolba, A., & Said, W. (2020). Internet of things-based urban waste management system for smart cities using a Cuckoo search algorithm. Cluster Computing, 23(3), 1769–1780. https://doi.org/10.1007/s10586-020-03126-x
3. Altikat, A. A. A. G. S., Gulbe, A., & Altikat, S. (2022). Intelligent solid waste classification using deep convolutional neural networks. International Journal of Environmental Science and Technology, 19(3), 1285–1292. https://doi.org/10.1007/s13762-021-03179-4
4. Birgen, C., Magnanelli, E., Carlsson, P., Skreiberg, Ø., Mosby, J., & Becidan, M. (2021). Machine learning based modelling for lower heating value prediction of municipal solid waste. Fuel, 283, 118906. https://doi.org/10.1016/j.fuel.2020.118906
5. Dai, F., Nie, G. H., & Chen, Y. (2020). The municipal solid waste generation distribution prediction system based on FIG–GA-SVR model. Journal of Material Cycles and Waste Management, 22(5), 1352–1369. https://doi.org/10.1007/s10163-020-01022-5
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