Open Access
| Issue |
E3S Web Conf.
Volume 625, 2025
5th International Conference on Environment Resources and Energy Engineering (ICEREE 2025)
|
|
|---|---|---|
| Article Number | 02006 | |
| Number of page(s) | 5 | |
| Section | Environmental Pollution Control and Ecological Restoration | |
| DOI | https://doi.org/10.1051/e3sconf/202562502006 | |
| Published online | 17 April 2025 | |
- Fan J, Zou L, Duan T, et al. Occurrence and distributi on of microplastics in surface water and sediments in China's inland water systems: a critical review[J]. Jo urnal of Cleaner Production, 2022, 331: 129968. [CrossRef] [Google Scholar]
- CHEN Xiao-wei, YIN Gao-fang, ZHAO Nan-jing, et al. Study on the detection method of nitrate concentrat ion by ultraviolet derivative spectroscopy under turbi dity interference [J]. Spectroscopy and Spectral Anal ysis, 2019,39(09): 2912-2916. [Google Scholar]
- Wang Y, Yu W, Li X, et al. Electrocatalytic reduction of nitrogenous pollutants to ammonia[J]. Chemical E ngineering Journal, 2023, 469: 143889. [Google Scholar]
- Alahi M E E, Mukhopadhyay S C. Detection method s of nitrate in water: A review[J]. Sensors and Actuat ors A: Physical, 2018, 280: 210-221. [CrossRef] [Google Scholar]
- Kurani A, Doshi P, Vakharia A, et al. A comprehensive comparative study of artificial neural network (ANN) and support vector machines (SVM) on stock fore casting[J]. Annals of Data Science, 2023, 10(1): 183-208. [CrossRef] [Google Scholar]
- Deng W, Yao R, Zhao H, et al. A novel intelligent dia gnosis method using optimal LS-SVM with improve d PSO algorithm[J]. Soft computing, 2019, 23: 2445-2462. [CrossRef] [Google Scholar]
- CHEN Ying, HE Lei, CUI Xing-ning, et al. A mixed prediction model for nitrate concentration in water ba sed on ultraviolet spectroscopy [J]. Spectroscopy and Spectral Analysis, 2019, 39(05): 1489-1494. [Google Scholar]
- Zhou K, Liu Z, Cong M, et al. Detection of chemical oxygen demand in water based on uv absorption spec troscopy and pso-lssvm algorithm[J]. Optoelectronics Letters, 2022, 18(4): 0251-0256. [CrossRef] [Google Scholar]
- Wang Ling-bin. Research on Intelligent Identification and Prediction of Algal Blooms in Lakes and Reserv oirs [D]. Beijing Gongshang University,2016. [Google Scholar]
- Ahmadianfar I, Heidari A A, Noshadian S, et al. INF O: An efficient optimization algorithm based on weig hted mean of vectors[J]. Expert Systems with Applications, 2022, 195: 116516. [CrossRef] [Google Scholar]
- Guan S, Wu T, Yang H. Research on transformer fault diagnosis method based on ACGAN and CGWOLSSVM[ J]. Scientific Reports, 2024, 14(1): 17676. [CrossRef] [Google Scholar]
- Wang B, Gong W, Wang Y, et al. Prediction of the yield strength of RC columns using a PSO-LSSVM model[J]. Applied Sciences, 2022, 12(21): 10911. [CrossRef] [Google Scholar]
- Zhang C, Sun Q, Sun W, et al. An assembly tightness recognition method for bolted connection states with singular-value entropy and GA least-squares support vector machine[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2023, 237(14): 2240-2254. [CrossRef] [Google Scholar]
- Ahmadianfar I, Heidari A A, Noshadian S, et al. INF O: An efficient optimization algorithm based on weig hted mean of vectors[J]. Expert Systems with Applic ations, 2022, 195: 116516. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.