Applications and prospects of machine learning for aerosol jet printing: A review
Author:
Affiliation:
1. The School of Manufacturing Systems and Networks, Arizona State University, Mesa, AZ, USA
Funder
Arizona State University
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2223620
Reference141 articles.
1. Wearable Bandage-Based Strain Sensor for Home Healthcare: Combining 3D Aerosol Jet Printing and Laser Sintering
2. Ajit, A., Acharya, K. and Samanta, A. (2020) A review of convolutional neural networks, in 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), pp. 1–5. IEEE.
3. Flaw detection in radiographic weldment images using morphological watershed segmentation technique
4. Sensing of COVID‐19 Antibodies in Seconds via Aerosol Jet Nanoprinted Reduced‐Graphene‐Oxide‐Coated 3D Electrodes
5. Knowledge Transfer in Organizations: Learning from the Experience of Others
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