| Judul | A Gentle Introduction to Data, Learning, and Model Order Reduction : Techniques and Twinning Methodologies / Francisco Chinesta; Elías Cueto; Victor Champaney; Chady Ghnatios; Amine Ammar...[et.al.] |
| Pengarang | Chinesta, Francisco Cueto, Elías Champaney, Victor Ghnatios, Chady Ammar, Amine |
| Penerbitan | Cham : Springer Nature, 2025 |
| Deskripsi Fisik | 227 p. |
| ISBN | 9783031875724 |
| Subjek | ARTIFICIAL INTELLIGENCE NUMERICAL ANALYSIS |
| Catatan | This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sections—Around Data, Around Learning, Around Reduction, and Around Data Assimilation & Twinning—this book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologies |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
https://directory.doabooks.org/handle/20.500.12854/165915 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 205426192 | 006.3 Gen | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000168092 | ||
| 005 | 20260409013107 | ||
| 007 | ta | ||
| 008 | 260409################|##########|#|## | ||
| 020 | # | # | $a 9783031875724 |
| 035 | # | # | $a 0010-0426000241 |
| 082 | # | # | $a 006.3 |
| 084 | # | # | $a 006.3 Gen |
| 100 | 1 | # | $a Chinesta, Francisco |
| 245 | 1 | # | $a A Gentle Introduction to Data, Learning, and Model Order Reduction : $b Techniques and Twinning Methodologies /$c Francisco Chinesta; Elías Cueto; Victor Champaney; Chady Ghnatios; Amine Ammar...[et.al.] |
| 260 | # | # | $a Cham :$b Springer Nature,$c 2025 |
| 300 | # | # | $a 227 p. |
| 505 | # | # | $a This open access book explores the latest advancements in simulation performance, driven by model order reduction, informed and augmented machine learning technologies and their combination into the so-called hybrid digital twins. It provides a comprehensive review of three key frameworks shaping modern engineering simulations: physics-based models, data-driven approaches, and hybrid techniques that integrate both. The book examines the limitations of traditional models, the role of data acquisition in uncovering underlying patterns, and how physics-informed and augmented learning techniques contribute to the development of digital twins. Organized into four sections—Around Data, Around Learning, Around Reduction, and Around Data Assimilation & Twinning—this book offers an essential resource for researchers, engineers, and students seeking to understand and apply cutting-edge simulation methodologies |
| 650 | # | # | $a ARTIFICIAL INTELLIGENCE |
| 650 | # | # | $a NUMERICAL ANALYSIS |
| 700 | 1 | # | $a Ammar, Amine |
| 700 | 1 | # | $a Champaney, Victor |
| 700 | 1 | # | $a Cueto, Elías |
| 700 | 1 | # | $a Ghnatios, Chady |
| 856 | # | # | $a https://directory.doabooks.org/handle/20.500.12854/165915 |
| 990 | # | # | $a 205426192 |
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