Yuqing (637 results)

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Poc. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Soft cover. Condition: Near Fine. 1st Edition. Comb binding. Printed in Chinese and English. Pages are clean with no marks. Bookseller Inventory BS/BS 13290 07/2022.

Soft cover. Condition: Fine. Spiral-bound softcover in unmarked, next-to-pristine condition (slightest handling). Dozens of vivid color photographs, with Chinese and English captions. [8oz]. Book.

hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week.

Paperback. Condition: Near Fine. 1st Edition. 7503208023. Softcover. Not ex. library. 72 pages, illustrated with colour photographs throughout. Text in English, Chinese and japanese. Comprehensive history of the Ming Tombs with lavish illustration. Contents clean, tight and bright. Wu Yue (illustrator). Book.…

Paperback. Condition: New.

Condition: good. The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear. Pages may contain some notes or highlighting, and there might be a "From the library of" label. Boxed set packaging, shrink wrap, or included media like CDs may be missing.…

Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condition: Fine. First edition (stated). Small quarto in white color illus stiff folding wraps; 200 pages: illustrations (chiefly color); 22 cm. Heavily illus in color. Ming Tombs (China); Myths and Legends of Ancient China. Fine with very faint wear to wraps. Nearly as new. See photos.

Condition: New.

Condition: New.

Condition: New.

Condition: New. pp. 68.

paperback. Condition: Very Good. Clean Copy, May have light wear on cover/edges, otherwise very good! Established Seller, We Ship Daily.

Condition: New.

Paperback or Softback. Condition: New. Decoding China's Export Miracle: A Global Value Chain Analysis. Book.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Paperback or Softback. Condition: New. Cyber Security: 17th China Annual Conference, Cncert 2020, Beijing, China, August 12, 2020, Revised Selected Papers. Book.

Paperback or Softback. Condition: New. Cyber Security: 19th China Annual Conference, Cncert 2022, Beijing, China, August 16-17, 2022, Revised Selected Papers. Book.

Hardcover. Condition: new. Hardcover. This book provides a comprehensive coverage of the state-of-the-art artificial intelligence (AI) technologies in vision-based structural health monitoring (SHM). In this data explosion epoch, AI-aided SHM and rapid damage assessment after natural hazards have become of great interest in civil and structural engineering, where using machine and deep learning in vision-based SHM brings new research direction. As researchers begin to apply these concepts to the structural engineering domain, especially in SHM, several critical scientific questions need to be addressed: (1) What can AI solve for the SHM problems? (2) What are the relevant AI technologies? (3) What is the effectiveness of the AI approaches in vision-based SHM? (4) How to improve the adaptability of the AI approaches for practical projects? (5) How to build a resilient AI-aided disaster prevention system making use of the vision-based SHM? This book introduces and implements the state-of-the-art machine learning and deep learning technologies for vision-based SHM applications. Specifically, corresponding to the above-mentioned scientific questions, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI applications in vision-based SHM, (4) advanced topics & approaches, and (5) resilient AI-aided applications. In the introduction, a brief coverage about the development progress of AI technologies in the vision-based area is presented. It gives the readers the motivations and background of the relevant research. In Part I, basic knowledges of machine and deep learning are introduced, which provide the foundation for the readers irrespective of their background. In Part II, to verify the effectiveness of the AI methods, the key procedure of the typical AI-aided SHM applications (classification, localization, and segmentation) is explored, including vision data collection, data pre-processing,transfer learning-based training mechanism, evaluation, and analysis. In Part III, advanced AI topics, e.g., generative adversarial network, semi-supervised learning, and active learning, are discussed. They aim to address several critical issues in practical projects, e.g., the lack of well-labeled data and imbalanced labels, to improve the adaptability of the AI models. In Part IV, the new concept of resilient AI is introduced to establish an intelligent disaster prevention system, multi-modality learning, multi-task learning, and interpretable AI technologies. These advances are aimed towards increasing the robustness and explainability of the AI-enabled SHM system, and ultimately leading to improved resiliency.The scope covered in this book is not only beneficial for education purposes but also is essential for modern industrial applications. The target audience is broad and includes students, engineers, and researchers in civil engineering, statistics, and computer science. Unique Book Features:Provide a comprehensive review of the rapidly expanding field of vision-based structural health monitoring (SHM) using artificial intelligence approaches. Re-organize fundamental knowledge specific to the machine and deep learning in vision tasks.Include comprehensive details about the procedure of conducting AI approaches for vision-based SHM along with examples and exercises.Cover a vast array of special topics and advanced AI-enabled vision-based SHM applications.List a few potential extensions for inspiring the readers for future investigation. Specifically, corresponding to the above-mentioned scientific questions, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI appli Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New.

Paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.