Home › Entities › academia › An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery

An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery

Research article (Polish Journal of Environmental Studies, 2017) · cited 13× · AI/ML
academia openalex:W2725513604
Press Enter · cited answer in seconds

An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery

Summary

An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery is a scholarly article[1].

Key Facts

  • An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-artificial-neural-network-approach-to-predicting-electrostatic-separation-performance-for-food-waste-recovery
MLA “An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-artificial-neural-network-approach-to-predicting-electrostatic-separation-performance-for-food-waste-recovery.
BibTeX @misc{4ortxyz_an-artificial-neural-network-approach-to-predicting-electrostatic-separation-performance-for-food-waste-recovery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery}}, year = {2026}, url = {https://4ort.xyz/entity/an-artificial-neural-network-approach-to-predicting-electrostatic-separation-performance-for-food-waste-recovery}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Artificial Neural Network Approach to Predicting Electrostatic Separation Performance for Food Waste Recovery — https://4ort.xyz/entity/an-artificial-neural-network-approach-to-predicting-electrostatic-separation-performance-for-food-waste-recovery (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/an-artificial-neural-network-approach-to-predicting-electrostatic-separation-performance-for-food-waste-recovery · Last refreshed: