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| 008 | 230318s2023 sz | o |||| 0|eng d | ||
| 020 | _a9783031276224 | ||
| 024 | 7 |
_a10.1007/978-3-031-27622-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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_aQ325.5 _b2023 EB |
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_aDeep Sciences for Computing and Communications : _bFirst International Conference, IconDeepCom 2022, Chennai, India, March 17-18, 2022, Revised Selected Papers _cedited by Kottilingam Kottursamy, Ali Kashif Bashir, Utku Kose, Annie Uthra |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _bSpringer Nature Switzerland _c2023 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aCommunications in Computer and Information Science _x1865-0937 _v1719 |
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| 505 | 0 | _aClassification 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 | _aThis 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. | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático _vCongresos y asambleas |
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| 650 | 7 |
_2embne _9158073 _aSistemas de telecomunicación _vCongresos y asambleas |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-27622-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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_b02/2024 _dz _eIG _zSI |
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