Regression and trend analysis of LEAP 2020 experimental results

Author:

Zeghal MouradORCID,Sepulveda AlejandroORCID,Manzari Majid T.,Kutter Bruce,Abdoun Tarek,Haigh Stuart K.ORCID,Hung Wen-Yi,Korre EvangeliaORCID,Madabhushi Gopal S.P.ORCID,Manandhar SatishORCID,Okamura MitsuORCID,Ueda KyoheiORCID,Zhou Yan-Guo

Funder

Japan Society for the Promotion of Science

Ministry of Science and Technology, Taiwan

Ministry of Oceans and Fisheries

National Natural Science Foundation of China

Science and Technology Department of Zhejiang Province

National Science Foundation

Publisher

Elsevier BV

Reference33 articles.

1. LEAP-RPI-2020: Summary of the centrifuge experimental results;Zeghal,2024

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3. Identification and quantification of ciprofloxacin in urine through excitation-emission fluorescence and three-way PARAFAC calibration;Ortiz;Anal Chim Acta,2009

4. Gaussian processes for regression;Williams;Adv Neural Inf Process Syst,1995

5. Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops;Danner;ISPRS J Photogramm Remote Sens,2021

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Trends and characteristics of the LEAP 2020 Soil-Retaining Wall response;Japanese Geotechnical Society Special Publication;2024

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