Cohesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. حسب Muxi Chen (9294270)

Adhesion characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. حسب Muxi Chen (9294270)

Hardness characteristics and statistical significance analysis of different ingredients across IDDSI levels^b'*'. حسب Muxi Chen (9294270)

The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing حسب Justin Erasmus (8702619)

"…After accounting for ring width differences, there remained a significant effect of initial spacing on the parameters of models predicting microfibril angle and wood density.…"

STL Linear Combination Forecast Graph. حسب Xiangjuan Liu (618000)

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. حسب Muxi Chen (9294270)

Multiple linear regression analysis results. حسب Muxi Chen (9294270)

"…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …"

Model prediction error analysis. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Non-linear relationship between urinary cadmium and bone mineral density from the adjusted restricted cubic splines model. حسب Aroon La-up (14095691)

Empirical model prediction error analysis. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Model prediction error trend chart. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Model prediction error analysis index. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Structure diagram of ensemble model. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Fitting formula parameter table. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Test plan. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Fitting surface parameters. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Model generalisation validation error analysis. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Fitting curve parameters. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Test instrument. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"

Empirical model establishment process. حسب Hongqi Wang (2208238)

"…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …"