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ISBN 10: 1543760201 ISBN 13: 9781543760200
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Published by Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030798909 ISBN 13: 9783030798901
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Hardcover. Condition: new. Hardcover. This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany.These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources. This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketCondition: Hervorragend. Zustand: Hervorragend | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany. These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.
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Published by Springer Verlag, Singapore, Singapore, 2025
ISBN 10: 9819504481 ISBN 13: 9789819504480
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Hardcover. Condition: new. Hardcover. This book compiles a selection of outstanding papers presented at ICLVIM 2024 held on 9-11 August in Suzhou, China. Liutex is a mathematical definition of vortex, first proposed by Dr. Chaoqun Liu in 2018. In the six years since then, significant changes have taken place in how scientists perceive Liutex. Initially met with skepticism and opposition, Liutex has now gained recognition and support within the scientific community.Six years ago, the primary focus of researchers was the validity of the Liutex definition. Scholars scrutinized the concept from various perspectives, examining it with cautious skepticism. Today, however, many researchers have embraced Liutex as a precise and unique mathematical framework for defining vortices. As a result, Liutex has been integrated into a wide range of research fields.The International Conference on Liutex-Based Vortex Identification Methods was organized against this backdrop of growing acceptance. It is gratifying to note that, according to conference reports, Liutex has found applications in diverse areas including hydrodynamics, tropical cyclones, magnetospheric dynamics, large eddy simulations, gas-solid flows, supersonic tip vortices, and ice-covered channel flows. Given that vortices are ubiquitous across numerous disciplines, Liutex holds great promise for future applications. Initially met with skepticism and opposition, Liutex has now gained recognition and support within the scientific community.Six years ago, the primary focus of researchers was the validity of the Liutex definition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer Nature Switzerland AG, Cham, 2021
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Hardcover. Condition: new. Hardcover. This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany.These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources. This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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ISBN 10: 9819504481 ISBN 13: 9789819504480
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Add to basketHardcover. Condition: new. Hardcover. This book compiles a selection of outstanding papers presented at ICLVIM 2024 held on 9-11 August in Suzhou, China. Liutex is a mathematical definition of vortex, first proposed by Dr. Chaoqun Liu in 2018. In the six years since then, significant changes have taken place in how scientists perceive Liutex. Initially met with skepticism and opposition, Liutex has now gained recognition and support within the scientific community.Six years ago, the primary focus of researchers was the validity of the Liutex definition. Scholars scrutinized the concept from various perspectives, examining it with cautious skepticism. Today, however, many researchers have embraced Liutex as a precise and unique mathematical framework for defining vortices. As a result, Liutex has been integrated into a wide range of research fields.The International Conference on Liutex-Based Vortex Identification Methods was organized against this backdrop of growing acceptance. It is gratifying to note that, according to conference reports, Liutex has found applications in diverse areas including hydrodynamics, tropical cyclones, magnetospheric dynamics, large eddy simulations, gas-solid flows, supersonic tip vortices, and ice-covered channel flows. Given that vortices are ubiquitous across numerous disciplines, Liutex holds great promise for future applications. Initially met with skepticism and opposition, Liutex has now gained recognition and support within the scientific community.Six years ago, the primary focus of researchers was the validity of the Liutex definition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by World Bank Publications, 2020
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Taschenbuch. Condition: Neu. Advances in Data Science | Ilke Demir (u. a.) | Taschenbuch | Association for Women in Mathematics Series | xx | Englisch | 2022 | Springer | EAN 9783030798932 | 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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Published by Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030798933 ISBN 13: 9783030798932
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany.These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.
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Published by Springer International Publishing, 2021
ISBN 10: 3030798909 ISBN 13: 9783030798901
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany.These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.
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Add to basketPaperback. Condition: Brand New. 384 pages. 9.25x6.10x0.91 inches. In Stock.
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Published by Springer International Publishing, Springer International Publishing Nov 2021, 2021
ISBN 10: 3030798909 ISBN 13: 9783030798901
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Buch. Condition: Neu. Neuware -This volume highlights recent advances in data science, including image processing and enhancement on large data, shape analysis and geometry processing in 2D/3D, exploration and understanding of neural networks, and extensions to atypical data types such as social and biological signals. The contributions are based on discussions from two workshops under Association for Women in Mathematics (AWM), namely the second Women in Data Science and Mathematics (WiSDM) Research Collaboration Workshop that took place between July 29 and August 2, 2019 at the Institute for Computational and Experimental Research in Mathematics (ICERM) in Providence, Rhode Island, and the third Women in Shape (WiSh) Research Collaboration Workshop that took place between July 16 and 20, 2018 at Trier University in Robert-Schuman-Haus, Trier, Germany.These submissions, seeded by working groups at the conference, form a valuable source for readers who are interested in ideas and methods developed in interdisciplinary research fields. The book features ideas, methods, and tools developed through a broad range of domains, ranging from theoretical analysis on graph neural networks to applications in health science. It also presents original results tackling real-world problems that often involve complex data analysis on large multi-modal data sources.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.
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