Wang Li Ch'ing (79 results)

Soft cover. Condition: New. Still in publisher's shrinkwrap.

White Printed Wrappers. Condition: Fair+. First Edition. Text is in Chinese. Volume has wear and age browning; cover has small bit of soil; text clean. [222] p., illustrated [otob: 28] Size: Oversize.

White Printed Wrappers. Condition: Fair. First Edition. Text is in Chinese. Volume has wear and age browning; spine tips are chipped; cover and 32 p. have thin red pen line(s). [224] p. [otob: 4] Size: Oversize.

Soft Cover. Condition: Good. First Edition. Text is in Chinese. Spine area has age browning; spine is chipped; volume has wear; text clean. [220] p. [otob: 43].

Soft Cover. Condition: Fair. First Edition. Text is in Chinese. Volume has wear; binding is chipped; bottom half of spine paper has chipped off; binding is age browned at edges; eight pages have annotation marks and/or highlighting. [132] p. [otob: 27].

Soft cover. Condition: New. Program Office for Taiwan Educational Center in India at National Tsing Hua University (TEC-NTHUPO).

Soft cover. Condition: Very Good. 2nd Edition. 95 pages, card covers.Corner tips of covers and pages slightly bumped, slight nick to bottom edge of a couple of pages, light soiling to back cover. Each page has an illustration plus some text. Tao Chih-an, Lu Tan, Pen Ching-yu, WAng Hsu-yang, Chou Li (illustrator).…

Condition: VERY GOOD. 3rd printing. A graphic novel / comic strip from before the Cultural Revolution. Adapted from one chapter of Kao Yu-pao's autobiography, this tells of the part he played in the underground against the Japanese invaders in Northeast China before and in WWII. "The story thoroughly exposes the Japanese imperialists' oppression of the Chinese workers and faithfully brings out the militant struggle and lofty qualities of the Chinese working class led by the Chinese Communist Party." Illustrated in black and white on every page by Kao Yu-Pao, Tao Chih-an, Lu Tan, Pen Ching-yu, Wang Hsu-yang and Chou Li. Oblong format. 96 pp. Good overall - toning to pages and covers, slight chipping to bottom edge of front cover.…

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

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

Condition: 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.

Condition: New.

Condition: New.

Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

hardcover. Condition: Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. Print on Demand.

Taschenbuch. Condition: Neu. Web Information Systems Engineering - WISE 2015 | 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part I | Jianyong Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xviii | Englisch | 2015 | Springer | EAN 9783319261898 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Web Information Systems Engineering - WISE 2015 | 16th International Conference, Miami, FL, USA, November 1-3, 2015, Proceedings, Part II | Jianyong Wang (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xviii | Englisch | 2015 | Springer | EAN 9783319261867 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Paperback. Condition: Brand New. 528 pages. 9.25x6.25x1.50 inches. In Stock.

Paperback. Condition: Brand New. 640 pages. 9.25x6.10x1.45 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to 'learn', for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.…

Taschenbuch. Condition: Neu. Machine Learning in Dentistry | Ching-Chang Ko (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer | EAN 9783030718831 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. Machine learning is an emerging field of artificial intelligence research and practice in which computer agents are employed to improve perception, cognition, and action based on their ability to ¿learn¿, for example through use of big data techniques. Its application within dentistry is designed to promote personalized and precision patient care, with enhancement of diagnosis and treatment planning. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties. The selected examples amply illustrate the opportunities to employ a machine learning approach within dentistry while also serving to highlight the associated challenges. Machine Learning in Dentistry will be of value for alldental practitioners and researchers who wish to learn more about the potential benefits of using machine learning techniques in their work.…

Condition: New.