Vision, Sensing and Analytics: Integrative Approaches /
This book serves as the first guideline of the integrative approach, optimal for our new and young generations. Recent technology advancements in computer vision, IoT sensors, and analytics open the door to highly impactful innovations and applications as a result of effective and efficient integrat...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Intelligent Systems Reference Library,
207 |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Deep Architectures in Visual Transfer Learning
- Deep Reinforcement Learning: A New Frontier in Computer Vision Research
- Deep Learning for Data-driven Predictive Maintenance
- Multi-Criteria Fuzzy Goal Programming under Multi-Uncertainty
- Skeleton-based Human Action Recognition on Large-Scale Datasets.