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Chen Ying Chen | Akateeminen Kirjakauppa

Haullasi löytyi yhteensä 369 tuotetta
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BIG DATA : 9TH CCF CONFERENCE, BIGDATA 2021, GUANGZHOU, CHINA, JANUARY 8–10, 2022, REVISED SELECTED PAPERS

Xiangke Liao (ed.); Wei Zhao (ed.); Enhong Chen (ed.); Nong Xiao (ed.); Li Wang (ed.); Yang Gao (ed.); Yinghuan Shi (ed.)
Springer (2022)
Pehmeäkantinen kirja

78,60 €

THE PHILOSOPHY OF CHANGE - COMPARATIVE INSIGHTS ON THE YIJING

Chung-ying Cheng
State University of New York Press (2023)
Kovakantinen kirja

124,70 €

LINKAGE IN EVOLUTIONARY COMPUTATION

Ying-ping Chen
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2008)
Kovakantinen kirja

129,90 €

EXTENDING THE SCALABILITY OF LINKAGE LEARNING GENETIC ALGORITHMS - THEORY & PRACTICE

Ying-ping Chen
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005)
Kovakantinen kirja

97,90 €

DEN OTACKSAMMA

Ying Chen; Lotta Riad (övers.)
Elisabeth Grate Bokförlag (2003)
Pehmeäkantinen kirja

13,80 €

STILLA

Ying Chen; Maria Björkman (övers.)
Elisabeth Grate Bokförlag (2008)
Pehmeäkantinen kirja

13,80 €

EXPLOITATION OF LINKAGE LEARNING IN EVOLUTIONARY ALGORITHMS

Ying-ping Chen (ed.)
Springer (2010)
Kovakantinen kirja

97,90 €

EXTENDING THE SCALABILITY OF LINKAGE LEARNING GENETIC ALGORITHMS : THEORY & PRACTICE

Ying-ping Chen
Springer (2010)
Pehmeäkantinen kirja

97,90 €

CLOUD COMPUTING STRATEGIES

Ying Chen
Tian Xia Za Zhi (2010)
Pehmeäkantinen kirja

82,80 €

LE LETTERE CINESI

Ying Chen
Voland (2006)
Pehmeäkantinen kirja

41,60 €

LINKAGE IN EVOLUTIONARY COMPUTATION

Ying-ping Chen (ed.)
Springer (2010)
Pehmeäkantinen kirja

129,90 €

GENETIC NOVELTIES GENERATED BY NON-CODING RNAS AND ALTERNATIVE SPLICING IN DROSOPHILA.

Ying Chen
Proquest, Umi Dissertation Publishing (2011)
Pehmeäkantinen kirja

122,10 €

PAYMENT COST MINIMIZATION AUCTIONS FOR DEREGULATED ELECTRICITY MARKETS AND IMPROVING SHORT-TERM LOAD FORECASTING.

Ying Chen
Proquest, Umi Dissertation Publishing (2011)
Pehmeäkantinen kirja

122,10 €

THE ROLE OF C3 AND ALPHA 2-MACROGLOBULIN IN THE ACTIVATION OF LECTIN PATHWAY.

Ying Chen
Proquest, Umi Dissertation Publishing (2011)
Pehmeäkantinen kirja

122,10 €

THE NATURE OF TEACHER-STUDENT INTERACTIONS DURING COMMUNICATION INTERVENTION FOR YOUNG CHILDREN WITH DEVELOPMENTAL DISABILITIES

Ying-Shu Chen
Proquest, Umi Dissertation Publishing (2011)
Pehmeäkantinen kirja

122,10 €

EXPLOITATION OF LINKAGE LEARNING IN EVOLUTIONARY ALGORITHMS

Ying-ping Chen (ed.)
Springer (2012)
Pehmeäkantinen kirja

97,90 €

APPROXIMATE SOLUTIONS OF OPERATOR EQUATIONS

Guanrong Chen; Mingjun Chen; Zhongying Chen
World Scientific Publishing Co Pte Ltd (1997)
Kovakantinen kirja

115,80 €

FISHING ENTITY ENFORCEMENT IN HIGH SEAS FISHERIES

Ying-Ting Chen
Cambridge Scholars Publishing (2014)
Kovakantinen kirja

40,20 €

TRADE, FOOD SECURITY, AND HUMAN RIGHTS - THE RULES FOR INTERNATIONAL TRADE IN AGRICULTURAL PRODUCTS AND THE EVOLVING WORLD FOOD

Ying Chen
Taylor & Francis Ltd (2014)
Kovakantinen kirja

153,80 €

NANOSTRUCTURED MATERIALS FOR NEXT-GENERATION ENERGY STORAGE AND CONVERSION - HYDROGEN PRODUCTION, STORAGE, AND UTILIZATION

Ying-Pin Chen; Sajid Bashir; Jingbo Louise Liu
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2017)
Kovakantinen kirja

190,00 €

Hae lisää...

Big Data : 9th CCF Conference, BigData 2021, Guangzhou, China, January 8–10, 2022, Revised Selected Papers

Xiangke Liao (ed.), Wei Zhao (ed.), Enhong Chen (ed.), Nong Xiao (ed.), Li Wang (ed.), Yang Gao (ed.), Yinghuan Shi (ed.)

78,60 €

Springer
Sivumäärä: 326 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2022, 15.01.2022 (lisätietoa)
Kieli: Englanti
Tuotesarja: Communications in Computer and Information Science 1496

This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022.

The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.

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