Bridging computational power and environmental challenges: a perspective on neural network predictive models for environmental engineering.
- DOI
- 10.3389/frai.2025.1708369
- Published
- 2025
- Container
- Frontiers in artificial intelligence
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.3389/frai.2025.1708369,
title = {Bridging computational power and environmental challenges: a perspective on neural network predictive models for environmental engineering.},
author = {Facuy J and Arcos-Jacome D},
year = {2025},
journal = {Frontiers in artificial intelligence},
doi = {10.3389/frai.2025.1708369},
url = {https://doi.org/10.3389/frai.2025.1708369}
}RIS
TY - JOUR TI - Bridging computational power and environmental challenges: a perspective on neural network predictive models for environmental engineering. AU - Facuy J AU - Arcos-Jacome D PY - 2025 JO - Frontiers in artificial intelligence DO - 10.3389/frai.2025.1708369 UR - https://doi.org/10.3389/frai.2025.1708369 ER -
APA
J, F., & D, A. (2025). Bridging computational power and environmental challenges: a perspective on neural network predictive models for environmental engineering.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2025.1708369
Source records
- pubmed · retrieved 2026-09-25T11:33:29.462Z