[HTML][HTML] Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
A comparison between deep learning and standalone models in predicting the compaction
parameters of soil is presented in this research. One hundred and ninety and fifty-three soil …
parameters of soil is presented in this research. One hundred and ninety and fifty-three soil …
Prediction of concrete compressive strength using a back-propagation neural network optimized by a genetic algorithm and response surface analysis considering the …
In the present research, the authors have attempted to examine the compressive strength of
conventional concrete, which is made using different aggregate sizes and geometries …
conventional concrete, which is made using different aggregate sizes and geometries …
Novel approach to predicting soil permeability coefficient using Gaussian process regression
M Ahmad, S Keawsawasvong, MR Bin Ibrahim… - Sustainability, 2022 - mdpi.com
In the design stage of construction projects, determining the soil permeability coefficient is
one of the most important steps in assessing groundwater, infiltration, runoff, and drainage …
one of the most important steps in assessing groundwater, infiltration, runoff, and drainage …
Boosting-based ensemble machine learning models for predicting unconfined compressive strength of geopolymer stabilized clayey soil
The present research employs new boosting-based ensemble machine learning models ie,
gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined …
gradient boosting (GB) and adaptive boosting (AdaBoost) to predict the unconfined …
液化场地水平位移预测数据驱动方法研究
张屹蕃， 王睿， 张建民， 张建红 - 水力发电学报, 2023 - slfdxb.cn
基于Youd 等2002 液化变形数据库, 结合机器学习方法, 本研究建立了基于机器学习的液化场地
水平位移预测数据驱动方法, 并利用其对新近地震液化场地的水平位移进行了预测. 首先 …
水平位移预测数据驱动方法, 并利用其对新近地震液化场地的水平位移进行了预测. 首先 …
Extreme gradient boosting algorithm for predicting shear strengths of rockfill materials
For the safe and economical construction of embankment dams, the mechanical behaviour
of the rockfill materials used in the dam's shell must be analyzed. The characterization of …
of the rockfill materials used in the dam's shell must be analyzed. The characterization of …
Gene expression programming for estimating shear strength of RC squat wall
The flanged, barbell, and rectangular squat reinforced concrete (RC) walls are broadly used
in low-rise commercial and highway under and overpasses. The shear strength of squat …
in low-rise commercial and highway under and overpasses. The shear strength of squat …
Predicting California bearing ratio of HARHA-treated expansive soils using Gaussian process regression
The California bearing ratio (CBR) is one of the basic subgrade strength characterization
properties in road pavement design for evaluating the bearing capacity of pavement …
properties in road pavement design for evaluating the bearing capacity of pavement …
Regional prediction and prevention analysis of rockburst hazard based on the Gaussian process for binary classification
T Lan, Z Zhang, J Sun, W Zhao, M Zhang… - Frontiers in Earth …, 2022 - frontiersin.org
Rockburst is a complex dynamic disaster in coal mining and affected by many factors. To
accurately predict the rockburst hazard among complex influencing factors, a prediction …
accurately predict the rockburst hazard among complex influencing factors, a prediction …
Development a risk assessment method for dimensional stone quarries
Over the last 20 years, the global production of dimension stones has grown rapidly. Today,
seven countries—China, India, Turkey, Iran, Italy, Brazil, and Spain—account for around two …
seven countries—China, India, Turkey, Iran, Italy, Brazil, and Spain—account for around two …