Articles liés à Handbook of Dynamic Data Driven Applications Systems:...
- ÉditeurSpringer International Publishing AG
- Date d'édition2024
- ISBN 10 3031279883
- ISBN 13 9783031279881
- ReliureBroché
- Langueanglais
- Nombre de pages956
- ÉditeurDarema Frederica, Blasch Erik P., Ravela Sai, Aved Alex J.
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Handbook of Dynamic Data Driven Applications Systems
Edité par
Springer Verlag GmbH, 2024
ISBN 10 : 3031279883
ISBN 13 : 9783031279881
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. N° de réf. du vendeur 1864317546
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Handbook of Dynamic Data Driven Applications Systems : Volume 2
Edité par
Springer International Publishing, Springer Nature Switzerland, 2024
ISBN 10 : 3031279883
ISBN 13 : 9783031279881
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This SecondVolume inthe seriesHandbook of Dynamic Data Driven Applications Systems(DDDAS)expands the scope of the methods and the application areas presented in the first Volumeand aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS.The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems' analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems ('applications systems'), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study.As in the first volume, thechapters in this book reflect research work conducted over the years starting in the 1990's to the present. Here, the theory and application content are considered for:Foundational MethodsMaterials SystemsStructural SystemsEnergy SystemsEnvironmental Systems: Domain Assessment & Adverse Conditions/WildfiresSurveillance SystemsSpace Awareness SystemsHealthcare SystemsDecision Support SystemsCyber Security SystemsDesign of Computer SystemsThe readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the 'DDDAS-based Digital Twin' or 'Dynamic Digital Twin', goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation). N° de réf. du vendeur 9783031279881
Quantité disponible : 1 disponible(s)
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Handbook of Dynamic Data Driven Applications Systems
ISBN 10 : 3031279883
ISBN 13 : 9783031279881
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This SecondVolume inthe seriesHandbook of Dynamic Data Driven Applications Systems(DDDAS)expands the scope of the methods and the application areas presented in the first Volumeand aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS.The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems' analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems ('applications systems'), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study.As in the first volume, thechapters in this book reflect research work conducted over the years starting in the 1990's to the present. Here, the theory and application content are considered for:Foundational MethodsMaterials SystemsStructural SystemsEnergy SystemsEnvironmental Systems: Domain Assessment & Adverse Conditions/WildfiresSurveillance SystemsSpace Awareness SystemsHealthcare SystemsDecision Support SystemsCyber Security SystemsDesign of Computer SystemsThe readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the 'DDDAS-based Digital Twin' or 'Dynamic Digital Twin', goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation). 968 pp. Englisch. N° de réf. du vendeur 9783031279881
Quantité disponible : 2 disponible(s)