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Taschenbuch. Zustand: Neu. Biometric Recognition | 15th Chinese Conference, CCBR 2021, Shanghai, China, September 10-12, 2021, Proceedings | Jianjiang Feng (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2021 | Springer | EAN 9783030866075 | 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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Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030866076 ISBN 13: 9783030866075
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The LNCS volume 12878 constitutes the proceedings of the 15th Chinese Conference on Biometric Recognition, held in Shanghai, China, in September 2021.The 53 papers presented in this book were carefully reviewed and selected from 72 submissions. The papers cover a wide range of topics such as multi-modal biometrics and emerging biometrics; hand biometrics; facial biometrics; and speech biometrics.
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Verlag: Springer Nature Singapore, 2023
ISBN 10: 9811983186 ISBN 13: 9789811983184
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents a newly designed dynamic fluidic sprinkler (DFS) to improve hydraulic performance of the existing complete fluidic sprinkler (CFS) under low-pressure conditions. Sprinkler irrigation has high prospects for improving water management in crop production. In recent years, low-pressure water-saving has become an important research content in the field of sprinkler irrigation. It introduces the effect of riser height on rotation uniformity and application rate of the dynamic fluidic sprinkler. It also discusses the intelligent sprinkler irrigation technologies for autonomous and remote sensing system. This book will be a useful reference for researchers and professionals in the field of agriculture and irrigation.
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Verlag: Springer Nature Singapore, 2023
ISBN 10: 981990952X ISBN 13: 9789819909520
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 256 | Sprache: Englisch | Produktart: Bücher | This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc.
Zustand: New.
Zustand: New. 2023rd edition NO-PA16APR2015-KAP.