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| Link zu diesem Datensatz | https://d-nb.info/1374590940 |
| Titel | Advances in Neural Networks – ISNN 2025 : 19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings / edited by Long Jin, Lidan Wang |
| Person(en) |
Jin, Long (Herausgeber) Wang, Lidan (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2026 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2026 |
| Umfang/Format | Online-Ressource, XIV, 597 p. 215 illus., 193 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9512-32-4 Printed edition:: ISBN: 978-981-9512-34-8 |
| Inhalt | -- Design, Modeling and Application of AI Algorithms. -- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC. -- Modeling Competitive Behavior in Weight-Unbalanced Social Networks. -- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction. -- Muography Inversion Based on First-Order Optimization Algorithm. -- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study. -- Adversarial Imitation Learning Based on Weighted Wasserstein Distance. -- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability. -- CDEDI: A Conditional Diffusion Based Model for Environmental Data imputation. -- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data. -- Multimodal Deep Learning for Retinal Disease Diagnosis |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2508230407122.925808970281 DOI: 10.1007/978-981-95-1233-1 |
| URL | https://doi.org/10.1007/978-981-95-1233-1 |
| ISBN/Einband/Preis | 978-981-95-1233-1 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15951 |
| DDC-Notation | 006.32 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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