Novel Deep Learning Methodologies in Industrial and Applied Mathematics

Sebastià Xambó-Descamps (Herausgeber)

Online Resource

X, 121 Seiten

2026
Springer Singapore (Hersteller)
978-981-95-0351-3 (ISBN)

Produkt-Details

• Erscheint lt. Verlag: 5.5.2026
• Reihe/Serie: ICIAM2023 Springer Series
• Reihe/Serie: Mathematics and Statistics
• Reihe/Serie: Mathematics and Statistics (R0)
• Reihe/Serie: Springer Nature Proceedings excluding Computer Science
• Zusatzinfo: X, 121 p. 52 illus., 50 illus. in color.
• Verlagsort: Singapore
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• Themenwelt: Mathematik / Informatik ► Mathematik ► Analysis
• Schlagworte: adversarial attacks • Articicial intelligence • Clifford geometric algebra • Cloud-to-edge cotinuum • data privacy • Distributed edge-computing • Explainable Artificial Intelligence • Geometric algebra transformers • Geometric Deep Learning • internet of things • Lifecycle management in Industry 5.0 • Model partitioning and model early exit • Quoternion monogenic convolutional neural network • Research opportunities • Wind turbines' main bearing fault prognosis
• ISBN-10: 981-95-0351-5 / 9819503515
• ISBN-13: 978-981-95-0351-3 / 9789819503513
• Zustand: Neuware