Lihui wang (290 Ergebnisse)

Sprache: Englisch
Verlag: Springer London, Limited, 2006
Serie: Buch 5 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
- Erstausgabe
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Zustand: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. …

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Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

- Hardcover
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Zustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

- Softcover
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- Hardcover
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Sprache: Englisch
Verlag: Springer, 2007
Serie: Buch 10 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
Anbieter: BennettBooksLtd, Los Angeles, CA, USABennettBooksLtd
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Hardcover. Zustand: New. In shrink wrap. Looks like an interesting title.

- Softcover
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Taschenbuch. Zustand: Neu. QUANTUM MECHANICAL EFFECTS ON MOSFET SCALING LIMIT | Challenges and Opportunies for Nanoscale CMOS | Lihui Wang | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783836461832 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

- Hardcover
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- Hardcover
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Zustand: New. In English.

Visual Object Tracking from Correlation Filter to Deep Learning
Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.…

- Hardcover
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

- Hardcover
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Zustand: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

- Softcover
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Zustand: New. pp. 128.

- Hardcover
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Zustand: Used. pp. 390.

- Hardcover
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Zustand: New. pp. 146.

- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - With the increasing complexity and dynamism in today's machine design and development, more precise, robust and practical approaches and systems are needed to support machine design. Existing design methods treat the targeted machine as stationery. Analysis and simulation are mostly performed at the component level. Although there are some computer-aided engineering tools capable of motion analysis and vibration simulation etc., the machine itself is in the dry-run state. For effective machine design, understanding its thermal behaviours is crucial in achieving the desired performance in real situation.Dynamic Thermal Analysis of Machines in Running State presents a set of innovative solutions to dynamic thermal analysis of machines when they are put under actual working conditions. The objective is to better understand the thermal behaviours of a machine in real situation while at the design stage. The book has two major sections, with the first section presenting a broad-based review of the key areas of research in dynamic thermal analysis and simulation, and the second section presents an in-depth treatment of relevant methodology and algorithms, leading to better understanding of a machine in real situation.The book is a collection of novel ideas, taking into account the need for presenting intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Given the essential role of modern machines in factory automation and quality assurance, a book dedicated to the topic of dynamic thermal analysis, and its practical applications to machine design would be beneficial to readers of all design and manufacturing sectors, from machine design to automotive engineering, in better understanding the present challenges andsolutions, as well as future research directions in this important area.…

- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - With the increasing complexity and dynamism in today's machine design and development, more precise, robust and practical approaches and systems are needed to support machine design. Existing design methods treat the targeted machine as stationery. Analysis and simulation are mostly performed at the component level. Although there are some computer-aided engineering tools capable of motion analysis and vibration simulation etc., the machine itself is in the dry-run state. For effective machine design, understanding its thermal behaviours is crucial in achieving the desired performance in real situation.Dynamic Thermal Analysis of Machines in Running State presents a set of innovative solutions to dynamic thermal analysis of machines when they are put under actual working conditions. The objective is to better understand the thermal behaviours of a machine in real situation while at the design stage. The book has two major sections, with the first section presenting a broad-based review of the key areas of research in dynamic thermal analysis and simulation, and the second section presents an in-depth treatment of relevant methodology and algorithms, leading to better understanding of a machine in real situation.The book is a collection of novel ideas, taking into account the need for presenting intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Given the essential role of modern machines in factory automation and quality assurance, a book dedicated to the topic of dynamic thermal analysis, and its practical applications to machine design would be beneficial to readers of all design and manufacturing sectors, from machine design to automotive engineering, in better understanding the present challenges andsolutions, as well as future research directions in this important area.…

Visual Object Tracking From Correlation Filter to Deep Learning [Hardcover] [Nov 19, 2021] Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang and Song, Bowen
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Hardcover
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Zustand: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

- Hardcover
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Hardcover. Zustand: Brand New. 160 pages. 9.25x6.50x0.50 inches. In Stock.

- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 428 | Sprache: Englisch | Produktart: Bücher | Enterprise Networks and Logistics for Agile Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in the areas of enterprise networks and logistics, as well as their practical applications towards agile manufacturing. With the increasing decentralisation of manufacturing systems and outsourcing of processes, more robust and practical approaches and systems are needed to support agile manufacturing operations. Enterprise Networks and Logistics for Agile Manufacturing consists of two major sections: the first presents a broad-based review of the key areas of research in enterprise networks and logistics; the second focuses on an in-depth treatment of a particular methodology or system relevant to the book title. Examples include: ¿ sustainable green supply chain; ¿ value creation and supplier selection; ¿ extended enterprise network management; ¿ reverse logistics; and ¿ innovative supply chain systems. The authors take into account the need to pose intellectual challenges while retaining a balanced approach in terms of scope versus depth and theory versus applications. Enterprise Networks and Logistics for Agile Manufacturing can be beneficial to academic researchers, practicing engineers and managers, and graduate students with an interest in any manufacturing sectors. It can enable them to better understand the present state and future trends of research in this important area, in order to position themselves strategically for future challenges as we enter the era of agile and distributed manufacturing.…

- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents state-of-the-art research, challenges and solutions in the area of cloud-based cyber-physical systems (CPS) used in manufacturing. It provides a comprehensive review of the literature and an in-depth treatment of novel methodologies, algorithms and systems in the area of architecture design, cyber security, process planning, monitoring and control. The book features detailed descriptions of how to derive solutions in a cloud environment where physical machines can be supported by cyber decision systems when engaged in real operations. It presents a range of novel ideas and is characterized by a balanced approach in terms of scope vs. depth and theory vs. applications. It also takes into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students. Dedicated to the topic of cloud-based CPS and its practical applications in manufacturing, this book benefits readers from all manufacturing sectors, from system design to lifecycle engineering and from process planning to machine control. It also helps readers to understand the present challenges and future research directions towards factories of the future, helping them to position themselves strategically for career development.…

Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Softcover
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Zustand: New. In English.

- Softcover
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Taschenbuch. Zustand: Neu. Cloud-Based Cyber-Physical Systems in Manufacturing | Lihui Wang (u. a.) | Taschenbuch | xvii | Englisch | 2018 | Springer | EAN 9783319884677 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Visual Object Tracking from Correlation Filter to Deep Learning
Weiwei Xing, Weibin Liu, Jun Wang, Bowen Song, Lihui Wang, Yuxiang Yang, Shunli Zhang
- Softcover
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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book focuses on visual object tracking systems and approaches based on correlation filter and deep learning. Both foundations and implementations have been addressed. The algorithm, system design and performance evaluation have been explored for three kinds of tracking methods including correlation filter based methods, correlation filter with deep feature based methods, and deep learning based methods. Firstly, context aware and multi-scale strategy are presented in correlation filter based trackers; then, long-short term correlation filter, context aware correlation filter and auxiliary relocation in SiamFC framework are proposed for combining correlation filter and deep learning in visual object tracking; finally, improvements in deep learning based trackers including Siamese network, GAN and reinforcement learning are designed. The goal of this book is to bring, in a timely fashion, the latest advances and developments in visual object tracking, especially correlation filter and deep learning based methods, which is particularly suited for readers who are interested in the research and technology innovation in visual object tracking and related fields.…

Sprache: Englisch
Verlag: Springer, 2007
Serie: Buch 10 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2007
Serie: Buch 10 von 74 - Springer Series in Advanced Manufacturing
- Hardcover
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Visual Object Tracking from Correlation Filter to Deep Learning
Xing, Weiwei; Liu, Weibin; Wang, Jun; Zhang, Shunli; Wang, Lihui; Yang, Yuxiang; Song, Bowen
- Softcover
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Zustand: New.

Sprache: Englisch
Verlag: Elsevier Science Publishing Co Inc, San Diego, 2021
- Hardcover
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Hardcover. Zustand: new. Hardcover. Epigenetic Regulation in Overcoming Chemo-Resistance Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Softcover
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Zustand: New. pp. XVII, 404 193 illus., 163 illus. in color. Softcover reprint of the original 1st ed. 2018 edition NO-PA16APR2015-KAP.

- Hardcover
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