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Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance

Research article (Journal of Environmental Management, 2023) · cited 10× · AI/ML
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Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance

Summary

Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance is a scholarly article[1].

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  • Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance. Retrieved May 24, 2026, from https://4ort.xyz/entity/intelligent-upgrade-of-waste-activated-sludge-dewatering-process-based-on-artificial-neural-network-model-core-influenti
MLA “Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/intelligent-upgrade-of-waste-activated-sludge-dewatering-process-based-on-artificial-neural-network-model-core-influenti.
BibTeX @misc{4ortxyz_intelligent-upgrade-of-waste-activated-sludge-dewatering-process-based-on-artificial-neural-network-model-core-influenti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance}}, year = {2026}, url = {https://4ort.xyz/entity/intelligent-upgrade-of-waste-activated-sludge-dewatering-process-based-on-artificial-neural-network-model-core-influenti}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Intelligent upgrade of waste-activated sludge dewatering process based on artificial neural network model: Core influential factor identification and non-experimental prediction of sludge dewatering performance — https://4ort.xyz/entity/intelligent-upgrade-of-waste-activated-sludge-dewatering-process-based-on-artificial-neural-network-model-core-influenti (retrieved 2026-05-24)

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