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Switchable and responsive surfaces and materials for biomedical applications
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ISBN: 0857097172 085709713X 9780857097170 9780857097132 Year: 2015 Publisher: Cambridge, England : Woodhead Publishing,

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Surface modification of biomaterials can ultimately determine whether a material is accepted or rejected from the human body, and a responsive surface can further make the material ""smart"" and ""intelligent"". Switchable and Responsive Surfaces and Materials for Biomedical Applications outlines synthetic and biological materials that are responsive under different stimuli, their surface design and modification techniques, and applicability in regenerative medicine/tissue engineering, drug delivery, medical devices, and biomedical diagnostics. Part one provides a detailed overview of swit


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Switchable and responsive surfaces and materials for biomedical applications
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ISBN: 9780857097170 0857097172 Year: 2014 Publisher: Cambridge Woodhead Publishing

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Binary Representation Learning on Visual Images : Learning to Hash for Similarity Search
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ISBN: 9789819721122 Year: 2024 Publisher: Singapore : Springer Nature Singapore : Imprint: Springer,

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This book introduces pioneering developments in binary representation learning on visual images, a state-of-the-art data transformation methodology within the fields of machine learning and multimedia. Binary representation learning, often known as learning to hash or hashing, excels in converting high-dimensional data into compact binary codes meanwhile preserving the semantic attributes and maintaining the similarity measurements. The book provides a comprehensive introduction to the latest research in hashing-based visual image retrieval, with a focus on binary representations. These representations are crucial in enabling fast and reliable feature extraction and similarity assessments on large-scale data. This book offers an insightful analysis of various research methodologies in binary representation learning for visual images, ranging from basis shallow hashing, advanced high-order similarity-preserving hashing, deep hashing, as well as adversarial and robust deep hashing techniques. These approaches can empower readers to proficiently grasp the fundamental principles of the traditional and state-of-the-art methods in binary representations, modeling, and learning. The theories and methodologies of binary representation learning expounded in this book will be beneficial to readers from diverse domains such as machine learning, multimedia, social network analysis, web search, information retrieval, data mining, and others.


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Binary Representation Learning on Visual Images : Learning to Hash for Similarity Search
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ISBN: 9789819721122 9789819721115 9789819721139 9789819721146 Year: 2024 Publisher: Singapore Springer Nature


Book
Micro nano devices, structure and computing systems iii
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ISBN: 3038264563 9783038264569 3038350753 9783038350750 Year: 2014 Publisher: [Place of publication not identified]

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Collection of selected, peer reviewed papers from the 2014 3rd International Conference on Micro Nano Devices, Structure and Computing Systems (MNDSCS 2014), March 1-2, 2014, Singapore. The 58 papers are grouped as follows: Chapter 1: Material Science and Applications, Chapter 2: Mechanical Engineering, Chapter 3: Power, Energy and Environment Engineering, Chapter 4: Electronics, Computer Engineering and Information Technology


Dissertation
Le parallélisme dans les vers du Cheu King
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Year: 1937 Publisher: Changai : Tou-sè-wè,

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Freistrahlturbinen : Hydromechanik und Auslegung
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ISBN: 3540707727 Year: 2008 Publisher: Berlin ; New York : Springer,

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Dieses Fachbuch beinhaltet die wesentlichen Erkenntnisse der Hydromechanik von Freistrahlturbinen aus ingenieurwissenschaftlicher Sicht. Basierend auf theoretischen Grundlagen und im Sinne eines Nachschlagewerks werden die Strömungsprozesse und alle relevanten hydromechanischen Aspekte von Freistrahlturbinen möglichst vollständig und systematisch beschrieben. Sämtliche Verluste inklusive der hydraulischen Reibungseffekte werden behandelt und quantifiziert. Das Buch unterstützt somit die gezielte Weiterentwicklung von Freistrahlturbinen sowie deren hydraulische Optimierung und mechanische Dimensionierung. Es richtet sich an Entwicklungs- und Design-Ingenieure, an Turbinenhersteller, Kraftwerksbetreiber und Interessierte aus dem Bereich der Lehre und Forschung im Fachbereich „Strömungsmaschinen". Die zahlreichen angeführten Gesetzmäßigkeiten können zur Vereinfachung von numerischen Methoden in der Strömungssimulation (CFD) oder zur Entwicklung neuer Rechenmethoden verwendet werden. Ausgeführte Beispiele ergänzen einzelne Kapitel des Buches und tragen zum besseren Verständnis bei.


Book
Chinese Signs : An Introduction to China's Linguistic Landscape
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ISBN: 9781108969697 Year: 2024 Publisher: Cambridge : Cambridge university press,

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Chinese signs
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ISBN: 9781108979603 1108983162 1108983251 1108979602 9781108839068 9781108969697 Year: 2024 Publisher: Cambridge ; New York, NY Cambridge University Press

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Highlighting stylistic and rhetorical characteristics, this fully illustrated book explores the written form of Mandarin Chinese in a range of everyday settings. Taking examples from Chinese public writing across a variety of textual genres, such as signs, banners and advertisements, it prepares students for navigating 'real world' Chinese, not only in terms of its linguistic and stylistic characteristics, but also its social and cultural context. Drawing over 500 pictorial examples from the linguistic landscape, it explores the signs from a variety of perspectives, for example by highlighting elements of classical Chinese that are still used in the modern language, showing the most popular rhetorical patterns used in Chinese, and presenting the interactions between both Standard Mandarin and dialect, and Chinese and other languages. Detailed annotations are provided for all signs, in both Chinese and English, to accommodate readers of all proficiency levels in Chinese.


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Chinese signs : an introduction to China's linguistic landscape
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ISBN: 9781108979603 9781108839068 9781108969697 Year: 2024 Publisher: Cambridge Cambridge University Press

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