Cao Zi Jun (27 results)

Soft cover. Condition: New. Language:Chinese.Author:(YING)YI GAO PU LI MO LA ZI ZHU ZHOU ZHAN CAO RUI TAO WANG JUN YI.Binding:Soft cover.Publisher:Zhejiang University Press.

Soft cover. Condition: New. Language:Chinese.Author:YANG YU QING WO SUO ZHI DAO DE GU WEI JUN CHEN ZI QIAN DENG YING MEI YAN CAO GONG SI SHI HUA.Binding.Publisher:Zhonghua Book Company (the late Qing Dynasty. Guangdong the Surface surname Gambling.

Soft cover. Condition: New. Language:Chinese.Author:(RI)ZHONG SHAN CHUN ZI HAN JUN YONG CAO YI BING YI.Binding:Soft cover.Publisher:Chinese workers Press Pub. Date :2010-02-01.

Soft cover. Condition: New. Language:Chinese.Author:(RI)ZHONG SHAN CHUN ZI HAN JUN YONG CAO YI BING YI.Binding:Soft cover.Publisher:Chinese workers Press Pub. Date :2010-02-01.

Soft cover. Condition: New. Language:Chinese.Author:(RI)ZHONG SHAN CHUN ZI HAN JUN YONG CAO YI BING YI.Binding:Soft cover.Publisher:Chinese workers Press Pub. Date :2010-02-01.

Soft cover. Condition: New. Language:Chinese.Author:(RI)ZHONG SHAN CHUN ZI HAN JUN YONG CAO YI BING YI.Binding:Soft cover.Publisher:Chinese workers Press Pub. Date :2010-02-01.

Condition: New.

Condition: New.

Condition: New.

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

Condition: New.

Condition: New. Kok-Kwang Phoon is President designate of Singapore University of Technology and Design. He has edited or written several books with CRC Press, including Model Uncertainties in Foundation Design. He was awarded the ASCE Norman Medal twice in 2005 .

paperback. Condition: New. Paperback. Pub Date: 2015-06 Pages: 188 Language: Simplified Chinese Publisher: Southwest Jiaotong University Press Numerical Solutions and Error Analysis of Fractional Differential and Integral Equations studies numerical algorithms for fractional differential and integral equations. Its basic content covers: block-by-block algorithms for fractional ordinary differential equations; convergence analysis of block-by-block algorithms for fractional equations; a modified block-by-block method fo.…

paperback. Condition: Good. Yellow cosmic legend.

Soft cover. Condition: New. Language:Chinese.Author:(RI)JIANG KOU HUI ZI CAO JIA JUN YI.Binding:Soft cover.Publisher:Henan Science and Technology Press Pub. Date :2009.

paperback. Condition: Good. Writer the full assessment Stones (Vol.2) no notes.

paperback. Condition: New. Paperback. Pub Date: 2018-02-01 Pages: 210 Language: Chinese Publisher: China Electric Power Press city grid power quality comprehensive management of the Shenzhen is a typical representative. analyzed the current situation of China's urban power grid quality work. problems and urgency: to study the mechanisms of power quality governance structure. management structure. standard specification. . …

paperback. Condition: Good. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2006-01 Pages: 1030 Publisher: Oriental Press printing time :2006-05Four Satisfaction guaranteed,or money back.

paperback. Condition: New. The fat vegetarian assessment Stones (Set 2 Volumes).

paperback. Condition: New. Paperback. Pub Date: 2022-06-01 Pages: 600 Language: Chinese Publisher: China Agricultural Publishing House This set of textbooks highlights the characteristics of professional skills; the form is innovative; the positioning is clear. Highlight the concept of modern vocational education and gather education and industry elites. This set of textbooks is a skill textbook that highlights the vocational education concept of integration of production and education. and school-enterprise cooperatio.…

Hardcover. Condition: Good. HardCover. Pub Date :1995-01 Pages: 1402 Publisher: China International Radio Press sheets: 90.

paperback. Condition: New. Language:Chinese.Paperback. Publisher: Tsinghua University Publication Date: 2014-07-01 ISBN: 9787302360834 Words: Pages: 185 Edition: 1 Binding: Folio: 16 Weight: 0.4kg Editor No Summary by Chen Zhen. Huang Wenliang. Cao Wei compiled the big data Internet traffic engineering in the overall presentation of basic information Title: Internet traffic engineering for large data Price: 29 yuan Author: Chen Zhen Huang Wenliang Cao Junwei Publisher: Tsinghua University Publication Date: 2014-07-01 I.…

paperback. Condition: Good. Writer the full assessment Stones (two).

Hardcover. Condition: New. HardCover. Pub Date: 2020-08-01 Pages: 361 Language: Chinese Publisher: China Youth Publishing House Science Seeing the World: Small Archives Big Science Chapter 1 introduces life. which is divided into invertebrates. vertebrates. The four parts of the world of plants and our body structure include insects. marine invertebrates and other invertebrates; the body structure and habits of fish. amphibians. reptiles. birds. and mammals; the growth and characteristics of plants The formation of par.…

Hardcover. Condition: new. Hardcover. Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and might even predict the next event based on some time series. This depends on a balance of data centricity, fit-for (and transform) practice, and geotechnical context, and can be achieved by the integration of information, data, techniques, tools, perspectives, concepts, theories, along with experience from both geotechnical engineering and machine learning in computer science. And yet good engineering and research outcomes are still dependent on how practice (which includes the workforce) is improved or even transformed in the longer term to better serve end-users. This collection of focused chapters from a group of specialists presents principles and broad up to date practice of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.This book is essential for sophisticated practitioners as well as graduate students. This collection of chapters from specialists presents principles and practices of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.This book is essential for sophisticated practitioners as well as graduate student. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and might even predict the next event based on some time series. This depends on a balance of data centricity, fit-for (and transform) practice, and geotechnical context, and can be achieved by the integration of information, data, techniques, tools, perspectives, concepts, theories, along with experience from both geotechnical engineering and machine learning in computer science. And yet good engineering and research outcomes are still dependent on how practice (which includes the workforce) is improved or even transformed in the longer term to better serve end-users. This collection of focused chapters from a group of specialists presents principles and broad up to date practice of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.This book is essential for sophisticated practitioners as well as graduate students. This collection of chapters from specialists presents principles and practices of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.This book is essential for sophisticated practitioners as well as graduate student. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and might even predict the next event based on some time series. This depends on a balance of data centricity, fit-for (and transform) practice, and geotechnical context, and can be achieved by the integration of information, data, techniques, tools, perspectives, concepts, theories, along with experience from both geotechnical engineering and machine learning in computer science. And yet good engineering and research outcomes are still dependent on how practice (which includes the workforce) is improved or even transformed in the longer term to better serve end-users. This collection of focused chapters from a group of specialists presents principles and broad up to date practice of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.This book is essential for sophisticated practitioners as well as graduate students. This collection of chapters from specialists presents principles and practices of machine learning, along with a number of example areas of site characterization, design and construction in geotechnics.This book is essential for sophisticated practitioners as well as graduate student. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…