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7. Abdallah, M., Abu Talib, M., Feroz, S., Nasir, Q., Abdalla, H., & Mahfood, B. (2020). Artificial intelligence applications in solid waste management: A systematic research review. Waste Management, 109, 231-246. [
DOI:10.1016/j.wasman.2020.04.057]
9. Andeobu, L., Wibowo, S., & Grandhi, S. (2022). Artificial intelligence applications for sustainable solid waste management practices in Australia: A systematic review. Science of The Total Environment, 834, 155389. [
DOI:10.1016/j.scitotenv.2022.155389]
11. Brancoli, P., Bolton, K., & Eriksson, M. (2020). Environmental impacts of waste management and valorisation pathways for surplus bread in Sweden. Waste Management, 117, 136-145. [
DOI:10.1016/j.wasman.2020.07.043]
13. Castiglione, A., Cimmino, L., Di Nardo, M., & Murino, T. (2023). A framework for achieving a circular economy using blockchain technology in a sustainable waste management system. Computers & Industrial Engineering, 180, 109263. [
DOI:10.1016/j.cie.2023.109263]
15. Chauhan, A., Jakhar, S. K., & Chauhan, C. (2021). The interplay of circular economy with Industry 4.0 enabled smart city drivers of healthcare waste disposal. Journal of Cleaner Production, 279, 123854. [
DOI:10.1016/j.jclepro.2020.123854]
19. Fang, B., Yu, J., & Chen, Z. (2023). Artificial intelligence for waste management in smart cities: A review. Environmental Chemistry Letters, 21, 1959-1989. https://link.springer.com/article/10.1007/s10311-023-01604-3 [
DOI:10.1007/s10311-023-01604-3]
21. Filho, R. H., de Sousa, D. C. B., de Brito, W. A., Chaves, J. L. M. d. S., Sá, E. L., & Ribeiro, V. P. d. A. (2023). Increasing data availability for solid waste collection using an IoT platform based on LoRaWAN and blockchain. Procedia Computer Science, 220, 119-126. [
DOI:10.1016/j.procs.2023.03.018]
23. Gue, I. H. V., Lopez, N. S. A., Chiu, A. S., Ubando, A. T., & Tan, R. R. (2022). Predicting waste management system performance from city and country attributes. Journal of Cleaner Production, 366, 132951. [
DOI:10.1016/j.jclepro.2022.132951]
25. Pavolová, H., Lacko, R., Hajduová, Z., Šimková, Z., & Rovňák, M. (2020). The circular model in disposal with municipal waste: A case study of Slovakia. International Journal of Environmental Research and Public Health, 17, 1839. https://www.mdpi.com/1660-4601/17/6/1839 [
DOI:10.3390/ijerph17061839]
27. Hidalgo-Crespo, J., Álvarez-Mendoza, C. I., Soto, M., & Amaya-Rivas, J. (2022). Quantification and mapping of domestic plastic waste using GIS/GPS approach at the city of Guayaquil. Procedia CIRP, 105, 86-91. [
DOI:10.1016/j.procir.2022.02.015]
29. Hussain, I., Elomri, A., Kerbache, L., & Omri, A. E. (2024). Smart city solutions: Comparative analysis of waste management models in IoT-enabled environments using multiagent simulation. Sustainable Cities and Society, 103, Article 105247. [
DOI:10.1016/j.scs.2024.105247]
31. Karthik, M., Sreevidya, L., Devi, R. N., Thangaraj, M., Hemalatha, G., & Yamini, R. (2023). An efficient waste management technique with IoT based smart garbage system. Materials Today: Proceedings, 80(Part 3), 3140-3143. [
DOI:10.1016/j.matpr.2021.07.179]
33. Lin, K., Zhao, Y., Kuo, J.-H., Deng, H., Cui, F., Zhang, Z., Zhang, M., Zhao, C., Gao, X., & Zhou, T. (2022). Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches. Journal of Cleaner Production, 346, 130943. [
DOI:10.1016/j.jclepro.2022.130943]
37. Lipianina-Honcharenko, K., Komar, M., Osolinskyi, O., Shymanskyi, V., Havryliuk, M., & Semaniuk, V. (2024). Intelligent waste-volume management method in the smart city concept. Smart Cities, 7, 78-98. [
DOI:10.3390/smartcities7010004]
41. Lu, D., Iqbal, A., Zan, F., Liu, X., Dong, Z., Jiang, C., & Chen, G. (2023). Integrated life cycle assessment with data envelopment analysis for enhancing medical waste management during a public health crisis. Journal of Cleaner Production, 426, 139074. [
DOI:10.1016/j.jclepro.2023.139074]
45. Nimmagadda, S. M., & Harish, K. S. (2022). Review paper on technology adoption and sustainability in India towards smart cities. Multimedia Tools and Applications, 81, 27217-27245. https://link.springer.com/article/10.1007/s11042-022-12885-1 [
DOI:10.1007/s11042-022-12885-1]
47. Salman, M. Y., & Hasar, H. (2023). Review on environmental aspects in smart city concept: Water, waste, air pollution, and transportation smart applications using IoT techniques. Sustainable Cities and Society, 94, Article 104567. [
DOI:10.1016/j.scs.2023.104567]
51. Szpilko, D., de la Torre Gallegos, A., Jimenez Naharro, F., Rzepka, A., & Remiszewska, A. (2023). Waste management in the smart city: Current practices and future directions. Resources, 12, 115. [
DOI:10.3390/resources12100115]
55. Zhang, Q., Zhang, X., Mu, X., Wang, Z., Tian, R., Wang, X., & Liu, X. (2021). Recyclable waste image recognition based on deep learning. Resources, Conservation and Recycling, 171, 105636. [
DOI:10.1016/j.resconrec.2021.105636]