Artificial Intelligence and Online Engineering / Lecture Notes in Networks and Systems Bd.524 (PDF)
106 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Nowadays, online technologies are the core of most fields of engineering and the whole society and are inseparable connected for example with
- Internet of Things & Industrial Internet of Things (Industry 4.0),
- Online & Biomedical Engineering,
- Data Science, Machine Learning, and Artificial Intelligence,
- Cross & Mixed Reality, and
- Remote Working Environments.
to name only a few.
Since the first REV conference in 2004, we tried to focus on the upcoming use of the Internet for engineering tasks and the opportunities as well as challenges around it.
Consequently, the motto of this year's REV2022 was "Artificial Intelligence and Online Engineering".
In a globally connected world, the interest in online collaboration, teleworking, remote services, and other digital working environments is rapidly increasing. In response to that, the general objective of this conference is to contribute and discuss fundamentals, applications, and experiences in the field of Online and Remote Engineering, Virtual Instrumentation and other related new technologies like Cross Reality, Data Science & Big Data, Internet of Things & Industrial Internet of Things, Industry 4.0, Cyber-Security, and M2M & Smart Objects. Another objective of the conference is to discuss guidelines and new concepts for engineering education in higher and vocational education institutions, including emerging technologies in learning, MOOCs & MOOLs, and Open Resources.REV2022 was the 19th in a series of annual events concerning the area of Online Engineering. It has been organized in cooperation with The British University in Egypt (BUE), Cairo, as a hybrid event from February 28 until March 02, 2022.
- 2022, 1st ed. 2023, 681 Seiten, Englisch
- Herausgegeben: Michael E. Auer, Samir A. El-Seoud, Omar H. Karam
- Verlag: Springer International Publishing
- ISBN-10: 3031170911
- ISBN-13: 9783031170911
- Erscheinungsdatum: 14.10.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 76 MB
- Ohne Kopierschutz
- Vorlesefunktion
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Artificial Intelligence and Online Engineering / Lecture Notes in Networks and Systems Bd.524".
Kommentar verfassen