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[1]
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Gaussian Copula-based Bayesian network approach for characterizing spatial variability in aging steel bridges
Structural Safety,
2024
DOI:10.1016/j.strusafe.2023.102403
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[2]
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Core Concepts and Methods in Load Forecasting
2023
DOI:10.1007/978-3-031-27852-5_11
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[3]
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Inversion and characteristics of unmodeled errors in GNSS relative positioning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111151
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[4]
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Air quality analysis of Sichuan province based on complex network and CSP algorithm
International Journal of Modern Physics C,
2022
DOI:10.1142/S0129183122500073
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[5]
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Inversion and characteristics of unmodeled errors in GNSS relative positioning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111151
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[6]
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Study on Pollution Characteristics of Rural Natural Water Environment Based on Multivariate Statistical Method
Advances in Environmental Protection,
2022
DOI:10.12677/AEP.2022.126163
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[7]
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Inversion and characteristics of unmodeled errors in GNSS relative positioning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111151
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[8]
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Inversion and characteristics of unmodeled errors in GNSS relative positioning
Measurement,
2022
DOI:10.1016/j.measurement.2022.111151
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[9]
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How do pollutants change post-pandemic? Evidence from changes in five key pollutants in nine Chinese cities most affected by the COVID-19
Environmental Research,
2021
DOI:10.1016/j.envres.2021.111108
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[10]
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How do pollutants change post-pandemic? Evidence from changes in five key pollutants in nine Chinese cities most affected by the COVID-19
Environmental Research,
2021
DOI:10.1016/j.envres.2021.111108
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[11]
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Study on the failure process and nonlinear safety of high arch dam and foundation based on geomechanical model test
Engineering Failure Analysis,
2020
DOI:10.1016/j.engfailanal.2020.104704
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[12]
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Principals’ Depth of Perception of Knowledge on Special Education Programs: How Much Do They Really Know?
International Journal of Educational Reform,
2020
DOI:10.1177/1056787920967114
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[13]
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Power Grid Capacity Forecasting Based on Electrical Energy Requirements Considering Macroeconomic Factor in Malang Regency
2018 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME),
2018
DOI:10.1109/BICAME45512.2018.1570504442
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