Research graph
References from Multi-feature SCPTU data driven prediction of undrained shear strength of clay using DBO-optimized CNN-BiLSTM with attention mechanism. Local targets link to admitted publications; unresolved targets remain external evidence.
Rate effects on the undrained shear strength of compacted clay
10.1016/j.sandf.2016.07.012 · 2016 · External reference
Effect of temperature rise on the mechanical behaviour of deep-sea clay surrounding oil and gas pipelines
10.1016/j.oceaneng.2024.117533 · 2024 · External reference
Numerical investigation of the instability process in underwater sedimentary slopes subjected to seismic action
10.1016/j.enggeo.2025.107977 · 2025 · External reference
Free fall penetration test the undrained shear strength of submarine sediments
10.1016/j.measurement.2023.114050 · 2024 · External reference
Effect of statistically anisotropic undrained shear strength on the probability of slope failure
10.3390/w14081225 · 2022 · External reference
Multivariate correlation analysis of seismic piezocone penetration (SCPTU) parameters and design properties of Jiangsu quaternary cohesive soils
10.1016/j.enggeo.2017.07.005 · 2017 · External reference
A novel method for estimating the undrained shear strength of marine soil based on CPTU tests
10.3390/jmse12061019 · 2024 · External reference
A portable bender element-double cone penetration testing equipment for measuring stiffness and shear strength of in-situ soft soil deposits
10.1007/s12205-020-1696-4 · 2020 · External reference
Soil classification and site variability analysis based on CPT—A case study in the yellow river subaquatic delta, China
10.3390/jmse9040431 · 2021 · External reference
In-situ strength testing of deep-sea superficial sediments using a high-resolution ball penetrometer
10.1016/j.oceaneng.2024.119929 · 2025 · External reference
Determination of the overconsolidation ratio and undrained shear strength of cohesive soils by CPTu measurement
10.1016/j.apor.2024.103949 · 2024 · External reference
Soil disturbance evaluation of soft clay based on stress-normalized small-strain stiffness
10.1016/j.jrmge.2023.08.019 · 2024 · External reference
Introduction to JS/SCPTU/372 database
10.1016/j.geoai.2025.100032 · 2026 · External reference
Three-dimensional geological modeling with multisource data fusion
10.1061/jggefk.gteng-13786 · 2026 · External reference
Evaluation of ground parameters influenced by pile driving
10.3390/buildings15224127 · 2025 · External reference
Applicability of existing empirical shear wave velocity correlations to seismic cone penetration test data in Christchurch New Zealand
10.1016/j.soildyn.2015.03.021 · 2015 · External reference
Site characterization of reclaimed lands based on seismic cone penetration test
10.1016/j.enggeo.2020.105953 · 2021 · External reference
Enhancing over-consolidation ratio interpretation in seismic piezocone testing using multivariate probability distribution models incorporating soil physical properties
10.1016/j.enggeo.2025.108271 · 2025 · External reference
Bayesian mixture analysis of a global database to improve unit weight prediction from CPTu
10.1016/j.enggeo.2023.107353 · 2023 · External reference
Defining the soil stratigraphy from seismic piezocone data: a clustering approach
10.1016/j.enggeo.2021.106111 · 2021 · External reference
SPT based determination of undrained shear strength: regression models and machine learning
10.1007/s11709-019-0591-x · 2020 · External reference
Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system
10.1007/s00521-022-06891-5 · 2022 · External reference
Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques
10.1016/j.compgeo.2025.107488 · 2025 · External reference
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
10.1007/s00477-024-02745-9 · 2024 · External reference
Interpretable prediction of undrained shear strength in deep-sea soft clays using SHAP and symbolic regression
10.1016/j.oceaneng.2026.125138 · 2026 · External reference
Prediction of undrained shear strength by the GMDH-type neural network using SPT-value and soil physical properties
10.3390/ma15186385 · 2022 · External reference
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
10.1016/j.gsf.2020.03.007 · 2021 · External reference
Characterization on the correlation between shear wave velocity and piezocone tip resistance of Jiangsu clays
10.1016/j.enggeo.2013.12.012 · 2014 · External reference
Prediction of embankment settlements over marine clay using piezocone penetration tests
10.1007/s10064-010-0329-4 · 2011 · External reference
Multivariate probability distribution of Shanghai clay properties
10.1016/j.enggeo.2020.105675 · 2020 · External reference
The interpretation of in situ soil test
10.1680/geot.1984.34.4.449 · 1984 · External reference
What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in Earth and Environmental systems models
10.1002/2014wr016527 · 2015 · External reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · 2020 · External reference
Unresolved reference
External reference
Overconsolidation ratio of clays from penetration pore pressures
10.1061/(asce)0733-9410(1988)114:2(209) · 1988 · External reference
Determining seabed shear strength from free-fall cone penetrometer test data: Coupled experimental, numerical, and analytical insights
10.1016/j.oceaneng.2026.126599 · 2026 · External reference
Unresolved reference
External reference
PSO-CNN-Bi-LSTM: a hybrid optimization-enabled deep learning model for smart farming
10.1007/s10666-023-09920-2 · 2024 · External reference
Pixel-level recognition of trace mycotoxins in red ginseng based on hyperspectral imaging combined with 1DCNN-residual-BiLSTM-attention model
10.3390/s24113457 · 2024 · External reference
What do we mean by sensitivity analysis? The need for comprehensive characterization of “global” sensitivity in Earth and Environmental systems models
10.1002/2014wr016527 · ExternalCitation · doi-reference
The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction
10.1007/s00477-024-02745-9 · ExternalCitation · doi-reference
Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system
10.1007/s00521-022-06891-5 · ExternalCitation · doi-reference
Prediction of embankment settlements over marine clay using piezocone penetration tests
10.1007/s10064-010-0329-4 · ExternalCitation · doi-reference
PSO-CNN-Bi-LSTM: a hybrid optimization-enabled deep learning model for smart farming
10.1007/s10666-023-09920-2 · ExternalCitation · doi-reference
SPT based determination of undrained shear strength: regression models and machine learning
10.1007/s11709-019-0591-x · ExternalCitation · doi-reference
A portable bender element-double cone penetration testing equipment for measuring stiffness and shear strength of in-situ soft soil deposits
10.1007/s12205-020-1696-4 · ExternalCitation · doi-reference
Determination of the overconsolidation ratio and undrained shear strength of cohesive soils by CPTu measurement
10.1016/j.apor.2024.103949 · ExternalCitation · doi-reference
Probabilistic indirect models for undrained shear strength: addressing significant data missing and variability with advanced imputation and machine learning techniques
10.1016/j.compgeo.2025.107488 · ExternalCitation · doi-reference
Characterization on the correlation between shear wave velocity and piezocone tip resistance of Jiangsu clays
10.1016/j.enggeo.2013.12.012 · ExternalCitation · doi-reference
Multivariate correlation analysis of seismic piezocone penetration (SCPTU) parameters and design properties of Jiangsu quaternary cohesive soils
10.1016/j.enggeo.2017.07.005 · ExternalCitation · doi-reference
Multivariate probability distribution of Shanghai clay properties
10.1016/j.enggeo.2020.105675 · ExternalCitation · doi-reference
Site characterization of reclaimed lands based on seismic cone penetration test
10.1016/j.enggeo.2020.105953 · ExternalCitation · doi-reference
Defining the soil stratigraphy from seismic piezocone data: a clustering approach
10.1016/j.enggeo.2021.106111 · ExternalCitation · doi-reference
Bayesian mixture analysis of a global database to improve unit weight prediction from CPTu
10.1016/j.enggeo.2023.107353 · ExternalCitation · doi-reference
Numerical investigation of the instability process in underwater sedimentary slopes subjected to seismic action
10.1016/j.enggeo.2025.107977 · ExternalCitation · doi-reference
Enhancing over-consolidation ratio interpretation in seismic piezocone testing using multivariate probability distribution models incorporating soil physical properties
10.1016/j.enggeo.2025.108271 · ExternalCitation · doi-reference
Introduction to JS/SCPTU/372 database
10.1016/j.geoai.2025.100032 · ExternalCitation · doi-reference
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
10.1016/j.gsf.2020.03.007 · ExternalCitation · doi-reference
Soil disturbance evaluation of soft clay based on stress-normalized small-strain stiffness
10.1016/j.jrmge.2023.08.019 · ExternalCitation · doi-reference
Free fall penetration test the undrained shear strength of submarine sediments
10.1016/j.measurement.2023.114050 · ExternalCitation · doi-reference
Effect of temperature rise on the mechanical behaviour of deep-sea clay surrounding oil and gas pipelines
10.1016/j.oceaneng.2024.117533 · ExternalCitation · doi-reference
In-situ strength testing of deep-sea superficial sediments using a high-resolution ball penetrometer
10.1016/j.oceaneng.2024.119929 · ExternalCitation · doi-reference
Interpretable prediction of undrained shear strength in deep-sea soft clays using SHAP and symbolic regression
10.1016/j.oceaneng.2026.125138 · ExternalCitation · doi-reference
Determining seabed shear strength from free-fall cone penetrometer test data: Coupled experimental, numerical, and analytical insights
10.1016/j.oceaneng.2026.126599 · ExternalCitation · doi-reference
Rate effects on the undrained shear strength of compacted clay
10.1016/j.sandf.2016.07.012 · ExternalCitation · doi-reference
Applicability of existing empirical shear wave velocity correlations to seismic cone penetration test data in Christchurch New Zealand
10.1016/j.soildyn.2015.03.021 · ExternalCitation · doi-reference
From local explanations to global understanding with explainable AI for trees
10.1038/s42256-019-0138-9 · ExternalCitation · doi-reference
Overconsolidation ratio of clays from penetration pore pressures
10.1061/(asce)0733-9410(1988)114:2(209) · ExternalCitation · doi-reference
Three-dimensional geological modeling with multisource data fusion
10.1061/jggefk.gteng-13786 · ExternalCitation · doi-reference
The interpretation of in situ soil test
10.1680/geot.1984.34.4.449 · ExternalCitation · doi-reference
Evaluation of ground parameters influenced by pile driving
10.3390/buildings15224127 · ExternalCitation · doi-reference
A novel method for estimating the undrained shear strength of marine soil based on CPTU tests
10.3390/jmse12061019 · ExternalCitation · doi-reference
Soil classification and site variability analysis based on CPT—A case study in the yellow river subaquatic delta, China
10.3390/jmse9040431 · ExternalCitation · doi-reference
Prediction of undrained shear strength by the GMDH-type neural network using SPT-value and soil physical properties
10.3390/ma15186385 · ExternalCitation · doi-reference
Pixel-level recognition of trace mycotoxins in red ginseng based on hyperspectral imaging combined with 1DCNN-residual-BiLSTM-attention model
10.3390/s24113457 · ExternalCitation · doi-reference
Effect of statistically anisotropic undrained shear strength on the probability of slope failure
10.3390/w14081225 · ExternalCitation · doi-reference
