Titlebook: New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric; Proceedings of the 6 Jinwoo An,Jizhe

Clinton

書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric影響因子(影響力)




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric影響因子(影響力)學(xué)科排名




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric網(wǎng)絡(luò)公開度




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric被引頻次




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric被引頻次學(xué)科排名




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric年度引用




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric年度引用學(xué)科排名




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric讀者反饋




書目名稱New Approaches of Geotechnical Engineering: Soil Characterization, Sustainable Materials and Numeric讀者反饋學(xué)科排名

ECG769

Comparative Evaluation of Morphometric Parameters on Runoff Estimation of Savitri Watershed, India,ural Resources Conservation Service-Curve Number (NRCS-CN) method that incorporates soil types, land use, and land cover, slope, rainfall of the region along with antecedent moisture conditions. The scatter plot computed between rainfall and runoff signifies that the correlation coefficient (r) is 1

有惡意

火海

CYT

dissolution

Yuqing Zhang,Koki Sakita,Satoshi Nishiyama,Takeharu Sato

Mystic

on, to summary and characterization, to modeling of network data. The central package is .igraph., which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book .Statistical Analysis .of Network Data .(Springer, 2009)..978-1-4939-0983-4Series ISSN 2197-5736 Series E-ISSN 2197-5744

SEED

Hari Kumar Reddy Yarrapureddi,Gokhan Saygili,Mena I. Souliman to 26 RNA-seq samples collected in .. This application demonstrates that our new FPCA-based test statistic has substantial power to detect differential usage of exons and isoforms, in addition to gene-level differential expression, and is robust to random fluctuations in the RNA-seq data.

取消

Xu Rong,Wang Lanmin,Edward W. Woolerysian data shows many advantages when compared to other models, since it is supported by highly validated techniques and well-grounded assumptions. All the methods reviewed are defined in the .-space, but results can be easily extrapolated to .-space. In the second part of the chapter the proposed es

使乳化