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Taschenbuch. Zustand: Neu. AI 2024: Advances in Artificial Intelligence | 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part I | Mingming Gong (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xx | Englisch | 2024 | Springer | EAN 9789819603473 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 432 | 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.
Taschenbuch. Zustand: Neu. AI 2024: Advances in Artificial Intelligence | 37th Australasian Joint Conference on Artificial Intelligence, AI 2024, Melbourne, VIC, Australia, November 25-29, 2024, Proceedings, Part II | Mingming Gong (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xix | Englisch | 2024 | Springer | EAN 9789819603503 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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.
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: 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.
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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 15442) In deutscher Sprache. pages.
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.
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Sprache: Englisch
Verlag: Springer, Springer Nov 2024, 2024
ISBN 10: 9819603471 ISBN 13: 9789819603473
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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.
Sprache: Englisch
Verlag: Springer, Springer Nov 2024, 2024
ISBN 10: 9819603501 ISBN 13: 9789819603503
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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.
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In den WarenkorbHardcover. 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.
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