Dynamic Data Driven Applications Systems: 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November ... (Lecture Notes in Computer Science, 15514) - Tapa blanda

9783031948947: Dynamic Data Driven Applications Systems: 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November ... (Lecture Notes in Computer Science, 15514)

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ISBN 10: 3031948947 ISBN 13: 9783031948947

Editorial: Springer International Publishing AG, 2025

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This book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA, during November 6–8, 2024.

The 43 full papers included in this book were carefully reviewed and selected from 52 submissions. By combining DDDAS and typical AI approaches, the papers address state-of-the-art efforts to create frameworks for enabling new and advanced Science and Technology capabilities to address challenges and create opportunities in important areas, spanning a wide set of areas, such as: materials and aerospace systems; communications networks; energy infrastructures; cyber-security; adverse environmental situations; societal dynamics; computer vision; robotics; laboratory automation; bio-informatics and pharmaceuticals design; and more.

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Editorial: Springer International Publishing AG
A�o de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 3031948947
ISBN 13: 9783031948947
Encuadernaci�n: Tapa blanda
N�mero de p�ginas: 459
Editor: Blasch Erik, Darema Frederica, Metaxas Dimitris
Contacto del fabricante: ROXIO
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Dynamic Data Driven Applications Systems: 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November ... (Lecture Notes in Computer Science, 15514)

Publicado por Springer, 2025

ISBN 10: 3031948947 ISBN 13: 9783031948947

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Dynamic Data Driven Applications Systems

Erik Blasch

Publicado por Springer, Berlin, Springer Nature Switzerland, Springer, 2025

ISBN 10: 3031948947 ISBN 13: 9783031948947

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA,during November 6 8, 2024.The 43 full papers included in this book were carefully reviewed and selected from 52 submissions. By combining DDDAS and typical AI approaches, the papers address state-of-the-art efforts to create frameworks for enabling new and advanced Science and Technology capabilities to address challenges and create opportunities in important areas, spanning a wide set of areas, such as: materials and aerospace systems; communications networks; energy infrastructures; cyber-security; adverse environmental situations; societal dynamics; computer vision; robotics; laboratory automation; bio-informatics and pharmaceuticals design; and more. 443 pp. Englisch. N� de ref. del art�culo: 9783031948947

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Dynamic Data Driven Applications Systems: 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November ... (Lecture Notes in Computer Science, 15514)

Publicado por Springer, 2025

ISBN 10: 3031948947 ISBN 13: 9783031948947

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Dynamic Data Driven Applications Systems : 5th International Conference, DDDAS/Infosymbiotics for Reliable AI 2024, New Brunswick, NJ, USA, November 6-8, 2024, Proceedings

Erik Blasch

Publicado por Springer, Berlin, Springer Nature Switzerland, Springer, 2025

ISBN 10: 3031948947 ISBN 13: 9783031948947

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 5th International Conference on Dynamic Data Driven Applications Systems, DDDAS/Infosymbiotics for Reliable AI 2024, held in New Brunswick, NJ, USA,during November 6 8, 2024.The 43 full papers included in this book were carefully reviewed and selected from 52 submissions. By combining DDDAS and typical AI approaches, the papers address state-of-the-art efforts to create frameworks for enabling new and advanced Science and Technology capabilities to address challenges and create opportunities in important areas, spanning a wide set of areas, such as: materials and aerospace systems; communications networks; energy infrastructures; cyber-security; adverse environmental situations; societal dynamics; computer vision; robotics; laboratory automation; bio-informatics and pharmaceuticals design; and more. N� de ref. del art�culo: 9783031948947

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