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Optimization of effluent COD prediction using LSTM based on improved fluctuation-aware positional attention mechanism
Article
Article
Optimization of effluent COD prediction using LSTM based on improved fluctuation-aware positional attention mechanism
WANG Lei et al · Editorial Office of Industrial Water Treatment · 2026 · ISSN 1005-829X
Urban wastewater treatment processes exhibit complex characteristics such as uncertainty, nonlinearity,and time delay, which pose significant challenges to water quality control and energy consumption optimization. To ad...
LCC TENDOkVudmlyb25tZW50YWwgdGVjaG5vbG9neS4gU2FuaXRhcnkgZW5naW5lZXJpbmc~Idioma zho
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Precision Modeling of Forest Eco-hydrological Process via LiDAR and AI Integration: Advances and Application Framework
Article
Article
Precision Modeling of Forest Eco-hydrological Process via LiDAR and AI Integration: Advances and Application Framework
Qiao Xu et al · 《中国工程科学》杂志社 · 2026 · ISSN 1009-1742
Forest ecosystems play a fundamental role in sustaining global water cycles and ecological security, and accurate modeling of their eco-hydrological processes is essential for forest management, watershed regulation, and...
LCC LCC:Engineering (General). Civil engineering (General)Idioma zho
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