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Deep Sciences for Computing and Communications [electronic resource] : First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1719Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XIII, 368 p. 223 illus., 161 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031276224
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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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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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