Qin Li (ed.) | Akateeminen Kirjakauppa

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COMPUTATIONAL MATHEMATICS MODELING IN CANCER ANALYSIS : SECOND INTERNATIONAL WORKSHOP, CMMCA 2023, HELD IN CONJUNCTION WITH MICC

Wenjian Qin (ed.); Nazar Zaki (ed.); Fa Zhang (ed.); Jia Wu (ed.); Fan Yang (ed.); Chao Li (ed.)
Springer (2023)
Pehmeäkantinen kirja

88,20 €

SOIL AND CROP SENSING FOR PRECISION CROP PRODUCTION

Minzan Li (ed.); Chenghai Yang (ed.); Qin Zhang (ed.)
Springer (2022)
Kovakantinen kirja

129,90 €

AQUACULTURE ECOLOGY

Shuang-Lin Dong (ed.); Xiang-Li Tian (ed.); Qin-Feng Gao (ed.); Yun-Wei Dong (ed.)
Springer (2023)
Kovakantinen kirja

172,80 €

SOIL AND CROP SENSING FOR PRECISION CROP PRODUCTION

Minzan Li (ed.); Chenghai Yang (ed.); Qin Zhang (ed.)
Springer (2023)
Pehmeäkantinen kirja

129,90 €

AQUACULTURE ECOLOGY

Shuang-Lin Dong (ed.); Xiang-Li Tian (ed.); Qin-Feng Gao (ed.); Yun-Wei Dong (ed.)
Springer (2024)
Pehmeäkantinen kirja

172,80 €

GEOTECTONIC EVOLUTION OF CHINA

Jishun (Jen Chi-shun) Ren; Qifang Li (ed.); Chunfa Jiang; Zhengkun Zhang; Deyu Qin
Springer (2012)
Pehmeäkantinen kirja

49,60 €

THEORIES OF PROGRAMMING AND FORMAL METHODS : ESSAYS DEDICATED TO JIFENG HE ON THE OCCASION OF HIS 80TH BIRTHDAY

Jonathan P. Bowen (ed.); Qin Li (ed.); Qiwen Xu (ed.)
Springer (2023)
Pehmeäkantinen kirja

68,90 €

Computational Mathematics Modeling in Cancer Analysis : Second International Workshop, CMMCA 2023, Held in Conjunction with MICC

Wenjian Qin (ed.), Nazar Zaki (ed.), Fa Zhang (ed.), Jia Wu (ed.), Fan Yang (ed.), Chao Li (ed.)

88,20 €

Springer
Sivumäärä: 172 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2023, 09.10.2023 (lisätietoa)
Kieli: Englanti
Tuotesarja: Lecture Notes in Computer Science 14243

This volume LNCS 14243 constitutes the refereed proceedings of the Second International Workshop, CMMCA 2023, Held in Conjunction with MICCAI 2023, on October 8, 2023, in Vancouver, BC, Canada.

The 17 full papers presented were carefully reviewed and selected from 25 submissions. The conference focuses on the discovery of cutting-edge techniques addressing trends and challenges in theoretical, computational, and applied aspects of mathematical cancer data analysis.

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