Intelligent Data Engineering and Automated Learning – IDEAL 2024
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| Auteur principal: | |
|---|---|
| Autres auteurs: | , , , , , |
| Format: | eBook |
| Langue: | anglais |
| Publié: |
Springer Nature,
2025.
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| Sujets: | |
| Accès en ligne: | Access eBook |
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| 005 | 20261004181642.0 | ||
| 008 | 261004s2025 o 000 eng | ||
| 020 | |a 978-3-031-77738-7 | ||
| 100 | 1 | |a Julian, Vicente |9 38228 | |
| 700 | 1 | |a Camacho, David |9 38225 | |
| 700 | 1 | |a Yin, Hujun |9 38226 | |
| 700 | 1 | |a Alberola, Juan M. | |
| 700 | 1 | |a Nogueira, Vitor Beires | |
| 700 | 1 | |a Novais, Paulo |9 36566 | |
| 700 | 1 | |a Tallón-Ballesteros, Antonio | |
| 245 | 0 | 0 | |a Intelligent Data Engineering and Automated Learning – IDEAL 2024 |
| 260 | |b Springer Nature, |c 2025. | ||
| 300 | |a 1 online resource | ||
| 650 | 4 | |a Computer Science |9 69352 | |
| 538 | |a Mode of access: World Wide Web. | ||
| 856 | 4 | 0 | |u https://library.mist.ac.bd/ebooks/5630/go?src=vufind |z Access eBook |
| 942 | |c EBOOK | ||
| 999 | |c 18959 |d 18959 | ||