Deep sciences for computing and communications First International Conference, IconDeepCom 2022, Chennai, India, March 17-18, 2022, revised selected papers
Classification and Regression Problems for Communication Paradigms.- Deep Learning and Vision Computing.- Deep- Recurrent Neural network (RNN) for Industrial informatics.- Extended AI for heterogeneous Edge.
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| Körperschaft: | |
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| Weitere Verfasser: | , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2023
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| Schriftenreihe: | Communications in computer and information science
1719 |
| Schlagworte: |
Artificial intelligence
> Bildverarbeitung
> COMPUTERS / Artificial Intelligence
> COMPUTERS / Computer Science
> COMPUTERS / Data Processing / Optical Data Processing
> COMPUTERS / Hardware / Network Hardware
> Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
> EDU029090
> EDUCATION / Computers & Technology
> Educational equipment & technology, computer-aided learning (CAL)
> Image processing
> Information technology: general issues
> Künstliche Intelligenz
> Lehrmittel, Lerntechnologien, E-Learning
> Network hardware
> Netzwerk-Hardware
> Social research & statistics
> Konferenzschrift
> Deep learning
> Maschinelles Lernen
> Maschinelles Sehen
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| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | Classification and Regression Problems for Communication Paradigms.- Deep Learning and Vision Computing.- Deep- Recurrent Neural network (RNN) for Industrial informatics.- Extended AI for heterogeneous Edge. This book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge |
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| Beschreibung: | xiii, 368 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031276217 978-3-031-27621-7 |