Deep Sciences for Computing and Communications First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers /
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...
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| Autres auteurs: | , , , |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Édition: | 1st ed. 2023. |
| Collection: | Communications in Computer and Information Science,
1719 |
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| Accès en ligne: | https://doi.org/10.1007/978-3-031-27622-4 |
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| 245 | 1 | 0 | |a Deep Sciences for Computing and Communications |h [electronic resource] : |b First International Conference, IconDeepCom 2022, Chennai, India, March 17–18, 2022, Revised Selected Papers / |c edited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra. |
| 250 | |a 1st ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (XIII, 368 p. 223 illus.). |b 161 illus. in color. | ||
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| 490 | 1 | |a Communications in Computer and Information Science, |x 1865-0937 ; |v 1719 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Education |x Data processing. | |
| 650 | 0 | |a Social sciences |x Data processing. | |
| 650 | 0 | |a Image processing |x Digital techniques. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 1 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computers and Education. |
| 650 | 2 | 4 | |a Computer Application in Social and Behavioral Sciences. |
| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 | 2 | 4 | |a Computer Communication Networks. |
| 700 | 1 | |a Kottursamy, Kottilingam. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Bashir, Ali Kashif. |e editor. |0 (orcid)0000-0003-2601-9327 |1 https://orcid.org/0000-0003-2601-9327 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Kose, Utku. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Uthra, Annie. |e editor. |0 (orcid)0000-0001-8501-1451 |1 https://orcid.org/0000-0001-8501-1451 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 830 | 0 | |a Communications in Computer and Information Science, |x 1865-0937 ; |v 1719 | |
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| 950 | |a Springer Nature Proceedings Computer Science (SpringerNature-85344) | ||