An IoT-enabled AI framework for sustainable product design optimizing eco-efficiency using BiLSTM

Weiguo Wang, Jiquan Wu, Lei Zhao

Open source

DOI: 10.1038/s41598-025-33773-2
Published: 2025-12-29
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-33773-2,
  title = {An IoT-enabled AI framework for sustainable product design optimizing eco-efficiency using BiLSTM},
  author = {Weiguo Wang and Jiquan Wu and Lei Zhao},
  year = {2025},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-025-33773-2},
  url = {https://doi.org/10.1038/s41598-025-33773-2}
}

RIS

TY  - JOUR
TI  - An IoT-enabled AI framework for sustainable product design optimizing eco-efficiency using BiLSTM
AU  - Weiguo Wang
AU  - Jiquan Wu
AU  - Lei Zhao
PY  - 2025
JO  - Scientific Reports
DO  - 10.1038/s41598-025-33773-2
UR  - https://doi.org/10.1038/s41598-025-33773-2
ER  -

APA

Wang, W., Wu, J., & Zhao, L. (2025). An IoT-enabled AI framework for sustainable product design optimizing eco-efficiency using BiLSTM. Scientific Reports. https://doi.org/10.1038/s41598-025-33773-2

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crossref · retrieved 2026-11-10T12:20:38.767Z