Artificial Intelligence of Things in Smart Environments : Applications in Transportation and Logistics /
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| Imprint: | Berlin ; Boston : De Gruyter, [2022] ©2022 |
|---|---|
| Description: | 1 online resource ( x, 153 pages) |
| Language: | English |
| Series: | De Gruyter Series on the Internet of Things |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12967341 |
Table of Contents:
- Frontmatter
- Preface
- Contents
- About the editors
- Toward the Internet of vehicles: challenges and solutions
- AI-enabled communication protocols for vehicular ad hoc networks (VANETs): fundamentals and future challenges
- Applying machine learning algorithms to improve intrusion detection system in IoV
- Auto steering control in a self-driving car using deep learning model
- Semantic segmentation with transfer learning for self-driving cars
- An improved anomaly detection process in smart vehicle using a supervised ensemble-learning framework
- Survey on AI-based IoT and drone-equipped smart agriculture
- General parametric of four hybrid microconcentrator photovoltaic systems for electric car charging station
- The influence of social media in improving supply chain intelligence using deep learning
- Index
