A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants

Research article (Environmental Research, 2024) · cited 17× · AI/ML
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A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants

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A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants is a scholarly article[1].

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  • A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-deep-learning-model-based-on-signal-decomposition-and-dynamic-feature-selection-for-forecasting-the-influent-pa
MLA “A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-deep-learning-model-based-on-signal-decomposition-and-dynamic-feature-selection-for-forecasting-the-influent-pa.
BibTeX @misc{4ortxyz_a-hybrid-deep-learning-model-based-on-signal-decomposition-and-dynamic-feature-selection-for-forecasting-the-influent-pa_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-deep-learning-model-based-on-signal-decomposition-and-dynamic-feature-selection-for-forecasting-the-influent-pa}, note = {Accessed: 2026-05-24}}
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