Aboul Ella (Hrsg.) Hassanien
The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022)
Buch
This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The b…
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Beschreibung
This book constitutes the refereed proceedings of the 8th International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2022, held in Cairo, Egypt, during May 5-7, 2022. The 8th edition of AMLTA will be organized by the Scientific Research Group in Egypt (SRGE), Egypt, collaborating with Port Said University, Egypt, and VSB-Technical University of Ostrava, Czech Republic. AMLTA series aims to become the premier international conference for an in-depth discussion on the most up-to-date and innovative ideas, research projects, and practices in the field of machine learning technologies and their applications. The book covers current research on advanced machine learning technology, including deep learning technology, sentiment analysis, cyber-physical system, IoT, and smart cities informatics and AI against COVID-19, data mining, power and control systems, business intelligence, social media, digital transformation, and smart systems.
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Produktdetails
Weitere Autoren: Abdel-Kader, Rehab F. (Hrsg.) / Snásel, Václav (Hrsg.) / Rizk, Rawya Y. (Hrsg.)
- ISBN: 978-3-031-03917-1
- EAN: 9783031039171
- Produktnummer: 38749525
- Verlag: Springer International Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2022
- Seitenangabe: 716 S.
- Masse: H23.5 cm x B15.5 cm x D3.8 cm 1'066 g
- Auflage: 1st ed. 2022
- Abbildungen: Paperback
- Reihenbandnummer: 113
- Gewicht: 1066
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