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SPIE Future Sensing Technologies 2023 / Osamu Matoba, Joseph A. Shaw, Christopher R. Valenta, editors.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Machine learning.
- Physical Description:
- 1 online resource
- Place of Publication:
- [Place of publication not identified] : SPIE, 2023.
- Summary:
- This PDF file contains the front matter associated with SPIE Proceedings Volume 12327, including the Title Page, Copyright information, Table of Contents, and Conference Committee information.
- Contents:
- Front Matter: Volume 12327 (1)
- Welcome and Keynote Session (1)
- LIDAR Technology (2)
- LIDAR Applications (1)
- Advanced Sensors II (3)
- Machine Learning and Algorithms I (3)
- Multi- and Hyperspectral Imaging (4)
- Sensing Technology Commercialization (3)
- Bio Sensors (5)
- Component Technology (5)
- Polarization Sensors (4)
- Applied Imaging (5)
- Machine Learning and Algorithms II (1)
- Poster Session (14)
- Digital Poster Session (10).
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 1-5106-5723-1
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