Prediction of microalgae harvesting efficiency and identification of important parameters for ballasted flotation using an optimized machine learning model
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A BPNN optimized with GA and PSO predicted harvesting efficiency in ballasted flotation, with GA-BPNN showing best performance (R2 = 0.923, MAE = 0.041).
“A backpropagation neural network (BPNN) was applied to predict harvesting efficiency in a ballasted flotation based on diverse input features, including microalgal and LDM properties. To improve predictive accuracy, the BPNN model was optimized using GA and particle swarm optimization (PSO), with GA-BPNN showing the best performance (R2 = 0.923, MAE = 0.041).”
From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [47]
Cites
Oruganti, R. K., Biji, A. P., Lanuyanger, T., Show, P. L., Sriariyanun, M., Upadhyayula, V. K. K., Gadhamshetty, V., & Bhattacharyya, D. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.162797 · Cited by 211 · see citing works
Smart microalgae farming with internet-of-things for sustainable agriculture
Lim, H. R., Khoo, K. S., Chia, W. Y., Chew, K. W., Ho, S.-H., & Show, P. L. (2022) · Biotechnology Advances · doi:10.1016/j.biotechadv.2022.107931 · Cited by 155 · see citing works
Microalgal harvesting for biofuels—Options and associated operational costs
McGrath, S. J., Laamanen, C. A., Senhorinho, G. N. A., & Scott, J. A. (2024) · Algal Research · doi:10.1016/j.algal.2023.103343 · Cited by 65 · see citing works
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Wu, Y., Shan, L., Zhao, W., & Lu, X. (2025) · Marine Drugs · doi:10.3390/md23050184 · Cited by 59 · see citing works
- Authors
- Xu, K., Zhu, Z., Yu, H., & Zou, X.
- Venue
- Algal Research
- Publisher
- Elsevier BV
- Published
- 2025-04
- Volume
- 87
- Pages
- 103985
- ISSN
- 2211-9264
- Cited by
- 15
- References
- 3
- Language
- en
- Licence
- Funders
- Xi'an University of Technology (108-451123001)
- Xi'an University of Science and Technology (106-2050123045)
- National Natural Science Foundation of China (22408289)
- Shaanxi Province Natural Science Foundation (2024JC-YBQN-0279)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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