Song mingming (31 Ergebnisse)

paperback. Zustand: Good.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: New. In English.

Hardback. Zustand: New.

Zustand: New. In English.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision;AI for Healthcare.…

Zustand: New.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision;AI for Healthcare.…

Zustand: New.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 480 | Sprache: Englisch | Produktart: Bücher | This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.…

Hardback. Zustand: New.

Softcover. Zustand: gut. 2024. AI 2024: Advances in Artificial Intelligence: 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, . Notes in Artificial Intelligence, Band 15443) In deutscher Sprache. pages.

Zustand: new. Questo è un articolo print on demand.

Zustand: new. Questo è un articolo print on demand.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision;AI for Healthcare. 432 pp. Englisch.…

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision;AI for Healthcare. 480 pp. Englisch.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Zustand: New. PRINT ON DEMAND.

Hardcover. Zustand: new. Hardcover. This Reprint presents a comprehensive collection of cutting-edge research on structural identification and damage evaluation through the integration of physics-based models with data-driven approaches. The compilation addresses one of the most critical challenges in structural health monitoring: combining the theoretical rigor of physics-based numerical models with the adaptive capabilities of modern data science techniques.The featured studies demonstrate innovative methodologies that bridge traditional finite element model updating approaches with advanced machine learning algorithms, physics-informed neural networks, and Bayesian inference techniques. Researchers explore novel applications including deep learning-enhanced stress identification in prestressed structures, automated concrete crack detection using computer vision, and real-time structural assessment through digital twin technologies.Key contributions encompass deterministic and stochastic finite element model updating, physics-guided machine learning for damage detection, hybrid modeling frameworks for structural systems, and uncertainty quantification in structural assessment. The Reprint showcases practical implementations across diverse structural types, from high-rise buildings and bridge systems to specialized infrastructure components like lightning rod structures and prestressed concrete girders. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This two-volume set LNAI 15442-15443 constitutes the refereed proceedings of the 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, held in Melbourne, VIC, Australia, during November 25-29, 2024.The 59 full papers presented together with 3 short papers were carefully reviewed and selected from 108 submissions.Part 1: Knowledge Representation and NLP; Trustworthy and Explainable AI; Machine Learning and Data Mining.Part 2: Reinforcement Learning and Robotics; Learning Algorithms; Computer Vision; AI for Healthcare.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 432 pp. Englisch.…

Zustand: New. Print on Demand.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint presents a comprehensive collection of cutting-edge research on structural identification and damage evaluation through the integration of physics-based models with data-driven approaches. The compilation addresses one of the most critical challenges in structural health monitoring: combining the theoretical rigor of physics-based numerical models with the adaptive capabilities of modern data science techniques.The featured studies demonstrate innovative methodologies that bridge traditional finite element model updating approaches with advanced machine learning algorithms, physics-informed neural networks, and Bayesian inference techniques. Researchers explore novel applications including deep learning-enhanced stress identification in prestressed structures, automated concrete crack detection using computer vision, and real-time structural assessment through digital twin technologies.Key contributions encompass deterministic and stochastic finite element model updating, physics-guided machine learning for damage detection, hybrid modeling frameworks for structural systems, and uncertainty quantification in structural assessment. The Reprint showcases practical implementations across diverse structural types, from high-rise buildings and bridge systems to specialized infrastructure components like lightning rod structures and prestressed concrete girders.…

Zustand: New. PRINT ON DEMAND.