Description

Book Synopsis
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.

Table of 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.

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

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    A Paperback by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose

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      View other formats and editions of Deep Sciences for Computing and Communications: First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers by Kottilingam Kottursamy

      Publisher: Springer International Publishing AG
      Publication Date: 19/03/2023
      ISBN13: 9783031276217, 978-3031276217
      ISBN10: 3031276213
      Also in:
      Computing Applications in the social and behavioural sciences Artificial intelligence (AI) Educational equipment and technology, computer-aided learning (CAL)

      Description

      Book Synopsis
      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.

      Table of 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.

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