Erik blasch (36 Ergebnisse)
Sprache: Englisch
Verlag: Cham, Springer International Publishing : Imprint: Springer., 2018
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume wer…e carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.
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Taschenbuch. Zustand: Neu. Dynamic Data Driven Applications Systems | Third International Conference, DDDAS 2020, Boston, MA, USA, October 2-4, 2020, Proceedings | Frederica Darema (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xiii | Englisch | 2020 | Springer | EAN 9783030617240 | Verantwortliche Person für die EU…: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Dynamic Data Driven Applications Systems: 4th International Conference, Dddas 2022, Cambridge, Ma, USA, October 6-10, 2022, Revised Selected Papers
Blasch, Erik (Editor)/ Darema, Frederica (Editor)/ Aved, Alex (Editor)
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Sprache: Englisch
Verlag: Springer Nature Switzerland, Springer Nature Switzerland, 2024
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022, which took place in Cambridge, MA, USA, during October 6-10, 2022.The 31 regular papers in the main track and…5 regular papers from the Wildfires panel, as well as one workshop paper, were carefully reviewed and selected for inclusion in the book. They were organized in following topical sections:DDAS2022 Main-Track Plenary Presentations; Keynotes;DDDAS2022 Main-Track: Wildfires Panel;Workshop on Climate, Life, Earth, Planets.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 750 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Sprache: Englisch
Verlag: Springer International Publishing, 2018
Serie: Advances in Computer Vision and Pattern Recognition, Buch 54 von 86. Buch 54 von 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applicati…ons. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.
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Zustand: New. Klappentext This exciting resource identifies technical challenges, benefits, and directions of Deep Learning (DL) based object classification using radar data (i.e., Synthetic Aperture Radar / SAR and High range resolution Radar / HRR d.
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Taschenbuch. Zustand: 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 inc…luded 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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Dynamic Data Driven Applications Systems: 5th International Conference, Dddas/Infosymbiotics for Reliable Ai 2024, New Brunswick, Nj, USA, November 68, 2024, Proceedings
Blasch, Erik (Editor)/ Darema, Frederica (Editor)/ Metaxas, Dimitris (Editor)
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Sprache: Englisch
Verlag: Springer, 2018
Serie: Advances in Computer Vision and Pattern Recognition, Buch 54 von 86. Buch 54 von 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Zustand: Neu. Context-Enhanced Information Fusion | Boosting Real-World Performance with Domain Knowledge | Lauro Snidaro (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xviii | Englisch | 2018 | Springer | EAN 9783319804644 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tie…rgartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Hardcover. Zustand: gut. 2018. Handbook of Dynamic Data Driven Applications Systems In deutscher Sprache. pages.
Sprache: Englisch
Verlag: Springer, Springer, 2016
Serie: Advances in Computer Vision and Pattern Recognition, Buch 54 von 86. Buch 54 von 86 - Advances in Computer Vision and Pattern Recognition
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. Th…e book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 968 | Sprache: Englisch | Produktart: Bücher | This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended c…ontent 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, the chapters 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 Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The 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).
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Taschenbuch. Zustand: Neu. Handbook of Dynamic Data Driven Applications Systems | Volume 2 | Frederica Darema (u. a.) | Taschenbuch | x | Englisch | 2024 | Springer | EAN 9783031279881 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbiet…er: preigu.
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 968 | Sprache: Englisch | Produktart: Bücher | This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended c…ontent 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, the chapters 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 Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The 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).
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Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland, 2024
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Taschenbuch. Zustand: 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).
Context-enhanced Information Fusion: Boosting Real-world Performance With Domain Knowledge
Snidaro, Lauro (Editor)/ Garcia, Jesus (Editor)/ Llinas, James (Editor)/ Blasch, Erik (Editor)
Sprache: Englisch
Verlag: Springer-Verlag New York Inc, 2016
Serie: Advances in Computer Vision and Pattern Recognition, Buch 54 von 86. Buch 54 von 86 - Advances in Computer Vision and Pattern Recognition
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Taschenbuch. Zustand: Neu. Handbook of Dynamic Data Driven Applications Systems | Volume 1 | Erik P. Blasch (u. a.) | Taschenbuch | x | Englisch | 2023 | Springer | EAN 9783030745707 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter…: preigu.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook is an authoritative reference on the Dynamic Data Driven Applications Systems paradigm, pioneered by Dr. Darema, and contains DDDAS-based work conducted by contributing co-authors in numerous areas, to benefit science and technology researcher…s and practitioners developing DDDAS-based technologies.Beginning with general concepts and history of the DDDAS paradigm in the introductory chapter, this Third Volume in the series contains 33 chapters contributed by leading experts and is organized in nine thematic areas, spanning natural, engineered, or societal systems to enable an accurate understanding, analysis, and control of corresponding complex systems. The thematic areas cover fundamental and foundational methods; materials, structural, and energy systems; healthcare and situation awareness systems; air and space, communications, and cyber systems. The work presented shows how DDDAS unifies the computational and instrumentation aspects of an application system, extends computing notions to span from the high-end to the edge computing and real-time data acquisition and control, adaptively manages the operation of complex, distributed, multimodal systems through high-dimensional, systems-cognizant model-coordination and multi-objective optimization of resources and service delivery; supports methodologies for achieving autonomic and enhanced AI capabilities; DDDAS is foundational concept for Predictive Digital Twins and Dynamic Digital Twins.The authorsexplain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.
Handbook of Dynamic Data Driven Applications Systems: Vol 2
Darema, Frederica (Editor)/ Blasch, Erik P. (Editor)/ Ravela, Sai (Editor)/ Aved, Alex J. (Editor)
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