Artificial Intelligence of Things in Smart Environments : Applications in Transportation and Logistics /
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 beha...
Uloženo v:
| Médium: | E-kniha |
|---|---|
| Jazyk: | angličtina |
| Vydáno: |
Berlin ; Boston :
De Gruyter,
[2022]
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| Edice: | De Gruyter Series on the Internet of Things ,
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| Témata: | |
| ISBN: | 9783110760477 |
| On-line přístup: |
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| Tagy: |
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| LEADER | 00000nam a22000005i 4500 | ||
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| 003 | DE-B1597 | ||
| 005 | 20230530124610.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr || |||||||| | ||
| 008 | 230228t20222022gw fo d z eng d | ||
| 020 | |a 9783110760477 | ||
| 040 | |a DE-B1597 |b eng |c CVT |e AACR2 |d CVT | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c DE | ||
| 072 | 7 | |a 004.8 |2 CVT | |
| 080 | |a 004.8 |2 2011 | ||
| 080 | |a 004.021 |2 2011 | ||
| 245 | 0 | 0 | |a Artificial Intelligence of Things in Smart Environments : |b Applications in Transportation and Logistics / |c ed. by Mariyam Ouaissa, Zakaria Boulouard, Mariya Ouaissa, Yassine Maleh. |
| 260 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2022] | |
| 300 | |a 1 online resource (X, 153 p.) | ||
| 490 | 0 | |a De Gruyter Series on the Internet of Things , | |
| 505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t About the editors -- |t Toward the Internet of vehicles: challenges and solutions -- |t AI-enabled communication protocols for vehicular ad hoc networks (VANETs): fundamentals and future challenges -- |t Applying machine learning algorithms to improve intrusion detection system in IoV -- |t Auto steering control in a self-driving car using deep learning model -- |t Semantic segmentation with transfer learning for self-driving cars -- |t An improved anomaly detection process in smart vehicle using a supervised ensemble-learning framework -- |t Survey on AI-based IoT and drone-equipped smart agriculture -- |t General parametric of four hybrid microconcentrator photovoltaic systems for electric car charging station -- |t The influence of social media in improving supply chain intelligence using deep learning -- |t Index |
| 516 | |a text file PDF | ||
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Internet of things. | |
| 650 | 4 | |a Algorithmen. | |
| 650 | 4 | |a Internet der Dinge. | |
| 650 | 4 | |a Künstliche Intelligenz. | |
| 650 | 4 | |a Logistik. | |
| 650 | 4 | |a Verkehr. | |
| 653 | |a umelá inteligencia | ||
| 653 | |a internet vecí | ||
| 653 | |a algoritmy | ||
| 760 | 1 | |t De Gruyter Series on the Internet of Things | |
| 856 | 4 | 0 | |u https://erproxy.cvtisr.sk/sfx/access?url=www.degruyter.com/document/isbn/9783110760477/html |y Vzdialený prístup pre registrovaných používateľov |
| 910 | |b ZE13404 | ||
| 919 | |a 978-3-11-076047-7 | ||
| 959 | |a 17 | ||
| 992 | |a SUD | ||
| 999 | |c 300524 |d 300524 | ||
| 974 | |b Rita Zubonyaiová | ||

