wang shen chang (14 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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.

Zustand: New.

Paperback. Zustand: Brand New. reprint edition. 347 pages. 8.75x6.00x1.00 inches. In Stock.

Soft cover. Zustand: Fine. No Jacket. 1 v. (unpaged) : ill. ; 27 cm. ; Sale code: 5948 WU BIN/ Place of sale: New York ; OCLC: 171301984 ; color photographic stiff paper wrappers ; prices realized laid in ; features works by Zhao Mengfu, Wu Zhen, Zhao Yong, Yang Weizhen, Shen Zhou, Lu Ji, Zhang Lu, Tang Yin, Zhan Ruoshui, Wen Zhengming, Zhu Yunming, Wang Chong, Xie Shichen, Wen Jia, Qian Gu, Zhou Tianqiu, Wu Bin, Song Moujin, Chen Jiayan, Li Liufang, Zhang Kunlin, Dong Qichang, Chen Jiru, Zhao Zuo, Zhao Zun, Jiang Ai, Li Shida, Shang Maoye, Chen Guan, Wang Weilie, Zhang Ruitu, Huang Daozhou, Ni Yuanhu, Xiao Yuncong, Lan Ying, Zhang Feng, Wang Jian, Wang Shimin, Gu Jianlong, Wang Wu, Zha Shibiao, Gong Xian, Ma Futu, Yun Shouping, Luo Mu, Zu Da (Bada Shanren), Daoji, Chen Yixi, Sun Yi, Yu Zhiding, Wang Yuanqi, Wang Gai, Wang Hui, Ma Quan, Xu Bin, Qing Shengzu ; FINE. Book.

Zustand: New. In.

Taschenbuch. Zustand: 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.

Taschenbuch. Zustand: 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.

Zustand: 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.

Buch. Zustand: 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.

Hardcover. Zustand: Brand New. 1st edition. 360 pages. 9.25x6.25x1.00 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Past research and literature suggest that legal institutions drive economic development. Yet China has grown for decades without the fundamental legal infrastructure that was once considered necessary. This is called the 'China puzzle' or the 'China myth'. By carefully comparing the four key branches of private law in China and Taiwan - a jurisdiction that grew with modest legal institutions and shares similar legal and non-legal culture - this collaborative and novel book demystifies the 'China puzzle'. Top scholars in the field use an economics-focused analytical approach to explain how and why the laws have taken such paths over the past four decades. Comparing property, contract, tort, and corporate laws in China and Taiwan, these authors delve deeply into key doctrines to provide a meaningful account of the evolution of private law in these two jurisdictions.

Zustand: New. Comparing four key branches of private law in China and Taiwan, this collaborative and novel book demystifies the 'China puzzle'. Editor(s): Chang, Yun-Chien; Shen, Wei; Wang, Wen-Yeu. Num Pages: 360 pages, 13 b/w illus. BIC Classification: 1FPC; 1FPCW; KC; LAM; LNB. Category: (U) Tertiary Education (US: College). Dimension: 176 x 252 x 29. Weight in Grams: 662. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Soft cover. Zustand: Fine. No Jacket. 1 v. (unpaged) : ill. ; 27 cm. ; Sale code: 6027 QICHANG/ Place of sale: New York ; OCLC: 477122841 ; color photographic stiff paper wrappers ; prices realized laid in ; features works by Zhao Mengfu, Jie Jisi, Ni Zan, hu Tinghui, Zheng Yuanyou, Dai Jin, Shen Zhou, Wu Wei, Tang Yin, Zhu Yunming, Wen Zhengming, Chen Shun, Qiu Ying, Qian Gu, Yu Yuanlun, Fan Dongming, Dong Qichang, Chen Jiru, Qian Gong, Huang Biao, Guan Si, Zhang Ruitu, Wang Duo, Lan Ying, Huang Xiangjian, Wang Jian, Xie Bin, Gao Cen, Li Yin, Mei Qing, Da Chongguang, Lai Jing, Zha Shibiao, Sheng Maojun, Zhang Qi, Wu Hong, Ma Quan, Qin Ji, Ye Xin, Fu Shan, Huang Daoqian, Jiang Shijie, Luo Mu, Fa Rouzhen, Wang Hui, Ma Yuanyu, Li Shan, Jiao Bingzhen, Wang Gang, ao Qipei, Jiang Tingxi, Hua Yan, Jin Nong, Zhang Ruoai, Zheng Xie, Huang Shen, Zhang Ruocheng, Dong Bangda, Wang Chen, Qian Feng, Yuan Ying, Fang Xun, Luo Ping, Pan Gongshou, Jiang Wenzai, Sun Shigao, Xi Gang, Tie Bao, Yuan Pei, Zhai Jichang, Weng Luo, Zhu Haonian, Shen Rong, Tang Yifen, Mao Zhou, Qu Yingshao, Su Renshan, Dai Xi, He Shaoji, Su Liupeng, Peng Yulin, Ren Yi, Wu Changshuo, Gu Linshi, Zeng Xi, Qi Baishi, Pu Ru, Pu Jin, Fu Baoshi, Feng Zhikai, Ding Yanyon, Zhang DaiqianLin FengmianWang Kangle, He Haixia, Xu Zhe, Li Xiongcai, Wu Guanzhong, Zhang Shoucheng, Cheng Shifa ; FINE. Book.