Artificial Intelligence of Things in Smart Environments : Applications in Transportation and Logistics /
ed. by Mariyam Ouaissa, Zakaria Boulouard, Mariya Ouaissa, Yassine Maleh.
- 1 online resource (X, 153 p.)
- De Gruyter Series on the Internet of Things , 2626-5443 .
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
restricted access http://purl.org/coar/access_right/c_16ec
This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.
Mode of access: Internet via World Wide Web.
In English.
9783110760477
10.1515/9783110760477 doi
Artificial intelligence.
Internet of things.
Algorithmen.
Internet der Dinge.
Künstliche Intelligenz.
Logistik.
Verkehr.
Q335 / .A78 2022
006.3
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
restricted access http://purl.org/coar/access_right/c_16ec
This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.
Mode of access: Internet via World Wide Web.
In English.
9783110760477
10.1515/9783110760477 doi
Artificial intelligence.
Internet of things.
Algorithmen.
Internet der Dinge.
Künstliche Intelligenz.
Logistik.
Verkehr.
Q335 / .A78 2022
006.3