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Multi-layered gradient-structured TPU/CNTs aerogel with ultra-wide pressure detection capabilities for machine learning–assisted fruit recognition
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Metadata
- Authors
- Zhang, M., Liu, S., Liu, S., Jia, G., Zhan, P., Liu, C., Shen, C., & Liu, H.
- Affiliations
- Zhengzhou University (CN)
- Corresponding author
- Zhan, Pengfei
- Liu, Hu
- Venue
- Advanced Composites and Hybrid Materials
- Published
- 2024-12-23
- Volume
- 8
- Issue
- 1
- ISSN
- 2522-0128 (ISSN-L)
- 2522-0136
- OpenAlex
- W4405712297
- Semantic Scholar
- 828e6d28d8afd9b928bb441f734b3dc50a602f0d
- Cited by
- 23
- References
- 63
- Citations by year
- 2026: 14 · 2025: 9
- FWCI
- 2.42
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Advanced Composites and Hybrid Materials (publishedVersion)
- Funders
- National Natural Science Foundation of China (12072325, 52373093, D18023)
- Natural Science Foundation of Henan Province (242300421062)
- Higher Education Discipline Innovation Project (D18023)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Nanomaterials and Printing Technologies
- Keywords
- flexible pressure sensors, gradient porous structure, smart glove, wearable electronics, pressure sensitivity, Young's modulus gradient, thermal insulation, Joule heating, k-nearest neighbors
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