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- Publisher: MDPI AG
- ISBN-10: 3036537538
- ISBN-13: 9783036537535
- Format: 17 x 24.4 x 2.4 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Machine Learning in Sensors and Imaging (e-book) (used book) | bookbook.eu
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Description
Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications.
This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.
EXTRA 10 % discount with code: EXTRA
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- Publisher: MDPI AG
- ISBN-10: 3036537538
- ISBN-13: 9783036537535
- Format: 17 x 24.4 x 2.4 cm, hardcover
- Language: English English
Machine learning is extending its applications in various fields, such as image processing, the Internet of Things, user interface, big data, manufacturing, management, etc. As data are required to build machine learning networks, sensors are one of the most important technologies. In addition, machine learning networks can contribute to the improvement in sensor performance and the creation of new sensor applications.
This Special Issue addresses all types of machine learning applications related to sensors and imaging. It covers computer vision-based control, activity recognition, fuzzy label classification, failure classification, motor temperature estimation, the camera calibration of intelligent vehicles, error detection, color prior model, compressive sensing, wildfire risk assessment, shelf auditing, forest-growing stem volume estimation, road management, image denoising, and touchscreens.
Reviews