Systematic Literature Review on Machine Learning Deep Learning and IOT-based Model for E-Waste Management

Godfrey Perfectson Oise; Odimayomi Joy  Akpowehbve

doi:10.62760/iteecs.3.3.2024.94

Authors

Godfrey Perfectson Oise Department of Computer Science, University of Benin, Benin, Edo State - 300213, Nigeria https://orcid.org/0009-0006-4393-7874
Odimayomi Joy Akpowehbve Department of Computing, Wellspring University, Benin, Edo State - 300102, Nigeria

DOI:

https://doi.org/10.62760/iteecs.3.3.2024.94

Keywords:

Machine Learning, Deep Learning, IoT, e-waste, Environment Health

Abstract

This article provides a comprehensive review of existing research on machine learning, deep learning, and IoT-based models for smart e-waste management. The main objectives are to support research, facilitate other researchers in finding relevant studies, and propose future research areas within this domain. Additionally, it offers stakeholders, organizations, and government bodies valuable insights into smart e-waste management based on research-driven knowledge of implementation strategies. The review results indicate that the most frequently studied areas are motives, critical success factors, implementation status, and benefits. Each of these areas would benefit from further exploration.

References

I. Barletta, B. Johansson, K. Cullbrand, M. Björkman and J. Reimers, "Fostering sustainable electronic waste management through intelligent sorting equipment," 2015 IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, pp. 459-461, 2015.

https://doi.org/10.1109/CoASE.2015.7294122

M. S. Sankhla, M. kumari, M. Nandan, S. Mohril, G. P. Singh, B. Chaturvedi, R. Kumar “Effect of Electronic waste on Environmental & Human health- A Review”, IOSR Journal of Environmental Science, Toxicology and Food Technology, Vol. 10, No. 9, pp. 98-104, 2016.

http://dx.doi.org/10.9790/2402-10090198104

K. M. Rashmi, and A. Sutagundar. "Automation of waste segregation system using PLC”, International Journal on Emerging Technologies, Vol. 7, No. 2, pp. 265-268, 2016. [Cross Ref]

D. Misra, G. Das, T. Chakrabortty, and D. Das “An IoT-based waste management system monitored by cloud”, Journal of Material Cycles and Waste Management, Vol. 20, No. 3, pp. 1574-1582, 2018.

https://doi.org/10.1007/s10163-018-0720-y

I. Nafiu, and O. K. Seun “Development of a smart, automated waste management system”, European Journal of Engineering and Technology, Vol 7, No. 2, pp. 46-55, 2019. [Cross Ref]

K. D. Kang, H. Kang, I. M. S. K. Ilankoon, and C. Y. Chong “Electronic waste collection systems using Internet of Things (IoT): Household electronic waste management in Malaysia”, Journal of cleaner production, Vol. 252, art. no. 119801, 2020.

https://doi.org/10.1016/j.jclepro.2019.119801

V. P. Ajay et al., "Automatic Waste Segregation and Management," 2020 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India, pp. 1-5, 2020.

https://doi.org/10.1109/ICCCI48352.2020.9104196

M. H. Dinesh “Design and Fabrication Model is Used to Extract Waste Plastic to Bio Oil” International Journal of Engineering and Management Research, Vol. 6, pp. 68–71, 2020.

http://dx.doi.org/10.35291/2454-9150.2020.0708

A. Tariq, M. Irfan, A. S. Alwadie, and A. Glowacz “IoT-based smart waste bin monitoring and municipal solid waste management system for smart cities”, Arabian Journal for Science and Engineering, Vol. 45, pp.10185-10198, 2020.

https://doi.org/10.1007/s13369-020-04637-w

S. Inna, and J. Porras “IoT-enabled smart waste management systems for smart cities: A systematic review”, IEEE Access, Vol. 10, pp. 73326-73363, 2022.

https://doi.org/10.1109/ACCESS.2022.3188308

K. Tejashree, P. Nirmal, and K. Kulkarni “Smart waste management system using IOT”, International Journal of Engineering Research, Vol. 9, No. 04, pp. 738-741, 2020.

http://dx.doi.org/10.17577/IJERTV9IS040490

K. M. Batoo, S. Pandiaraj, M. Muthuramamoorthy, E. H. Raslan, and S. Krishnamoorthy “Behavior-based swarm model using fuzzy controller for route planning and E-waste collection. Environmental Science and Pollution Research, Vol. 29, pp. 19940–19954, 2022.

https://doi.org/10.1007/s11356-021-12824-x

A. Byfield et al., "Medisure: Towards Assuring Machine Learning-Based Medical Image Classifiers Using Mixup Boundary Analysis," 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pp. 1-4, 2024.

https://doi.org/10.1109/ISBI56570.2024.10635870

N. A. L. Ali, R. Ramly, A. A. B. Sajak & R. Alrawashdeh “IoT E-Waste Monitoring System to Support Smart City Initiatives”, International Journal of Integrated Engineering, Vol. 13. No. 2, pp. 1-9, 2020

https://doi.org/10.30880/ijie.2021.13.02.001

T. Aswani, A. Maurya, G. Naik, M. Perla “Automated e-waste disposal using machine learning”, VIVA-Tech International Journal for Research and Innovation, Vol. 1, No. 4, pp. 91-97, 2021. [Cross Ref]

A. V. Shreyas Madhav, R. Rajaraman, S. Harini, and C. C. Kiliroor. "Application of artificial intelligence to enhance collection of E-waste: A potential solution for household WEEE collection and segregation in India." Waste Management & Research, Vol. 40, No. 7, pp. 1047-1053, 2022.

https://doi.org/10.1177/0734242X211052846

B. Bilal, and S. K. Brandt. "Relationship between economic growth and mismanaged e-waste: Panel data evidence from 27 EU countries analyzed under the Kuznets curve hypothesis”, Waste Management, Vol. 120, pp. 85-97, 2021.

https://doi.org/10.1016/j.wasman.2020.11.032

S. Kuldeep, G. Arora, P. Singh, and A. Gupta. "IoT-based collection vendor machine (CVM) for E-waste management." Journal of Reliable Intelligent Environments, Vol. 7, pp. 35-47, 2021.

https://doi.org/10.1007/s40860-020-00124-z

B. Pallavi, S. Shende, R. Gajbhiye, S. Sardare, A. Ghodke, and S. S. Sawwashere. "IoT based smart e-waste management system." International Journal for Research in Applied Science and Engineering Technology, Vol. 10, pp. 881-890, 2022.

https://doi.org/10.22214/ijraset.2022.45349

A. Saidia, and F. Shirazi. "A transformer-based machine learning approach for sustainable e-waste management: A comparative policy analysis between the swiss and canadian systems." Sustainability, Vol. 14, No. 20, art. no. 13220, 2022.

https://doi.org/10.3390/su142013220

H. Cai, J. Hu, Z. Li, W. H. Lim, M. Mokayef, and C. H. Wong “An IoT garbage monitoring system for effective garbage management. In 2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), pp. 203-206, 2022.

https://doi.org/10.1109/CENIM56801.2022.10037387

K. Ajay, Y. Kumar, A. Kumari, and S. Kumar. "IoT-Enabled Systems for E-Waste Monitoring and Recycling." In Integrated Waste Management: A Sustainable Approach from Waste to Wealth, pp. 375-394, 2024.

https://doi.org/10.1007/978-981-97-0823-9_18

O. G. Perfectson “A Framework on E-Waste Management and Data Security System”, International Journal on Transdisciplinary Research and Emerging Technologies, Vol. 1, No. 1, pp. 33-39, 2023. [Cross Ref]

O. G. Perfectson “Environmental and Information Safety of End-of-Life Electronics”, International Transactions on Electrical Engineering and Computer Science, Vol. 3, No. 2, pp. 86–91, 2024.

https://doi.org/10.62760/iteecs.3.2.2024.91