Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning
W Zhang, R Chen, J Li, T Huang, B Wu, J Ma, Q Wen… - Biochar, 2023 - Springer
Due to large specific surface area, abundant functional groups and low cost, biochar is
widely used for pollutant removal. The adsorption performance of biochar is related to …
widely used for pollutant removal. The adsorption performance of biochar is related to …
Machine learning applications for biochar studies: A mini-review
Biochar is a promising carbon sink whose application can assist in reducing carbon
emissions. Development of this technology currently relies on experimental trials, which are …
emissions. Development of this technology currently relies on experimental trials, which are …
[HTML][HTML] On quantifying uncertainty in lightning strike damage of composite laminates: A hybrid stochastic framework of coupled transient thermal-electrical simulations
Lightning strike damage can severely affect the thermo-mechanical performance of
composite laminates. It is essential to quantify the effect of lightning strikes considering the …
composite laminates. It is essential to quantify the effect of lightning strikes considering the …
[HTML][HTML] Using deep neural networks coupled with principal component analysis for ore production forecasting at open-pit mines
Ore production is usually affected by multiple influencing inputs at open-pit mines.
Nevertheless, the complex nonlinear relationships between these inputs and ore production …
Nevertheless, the complex nonlinear relationships between these inputs and ore production …
[HTML][HTML] Dredged marine soil stabilization using magnesia cement augmented with biochar/slag
Dredged marine soils (DMS) have poor engineering properties, which limit their usage in
construction projects. This research examines the application of reactive magnesia (rMgO) …
construction projects. This research examines the application of reactive magnesia (rMgO) …
Advances in the carbonation of MgO-based binder and CO2utilization in the construction industry
CC Onyekwena, Q Xue, Q Li, HI Umeobi… - Clean Technologies and …, 2023 - Springer
Magnesium oxide carbonation, especially the reactive magnesia (rMgO), is a new paradigm
regarded as a green alternative to the traditional Portland cement. The eco-friendly nature of …
regarded as a green alternative to the traditional Portland cement. The eco-friendly nature of …
[HTML][HTML] Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean
Soil salinization is a critical global issue for sustainable agriculture, impacting crop yields
and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food …
and posing a threat to achieving the Sustainable Development Goal (SDG) of ensuring food …
Weighted ensembles of artificial neural networks based on Gaussian mixture modeling for truck productivity prediction at open-pit mines
The truck haulage data from open-pit mine sites are usually massive and multidimensional
with multi-peak Gaussian distributions. Artificial neural networks (ANNs) are well-known …
with multi-peak Gaussian distributions. Artificial neural networks (ANNs) are well-known …
Geomechanical performances of geocell reinforced retaining wall backfilled with magnesia-based cement stabilized marine fill
Cement-stabilized soil retaining wall structures are becoming increasingly popular for high-
speed railway lines. However, the widely used Portland cement is heavily associated with …
speed railway lines. However, the widely used Portland cement is heavily associated with …
A deep implicit memory Gaussian network for time series forecasting
M Zhang, L Sun, Y Zou, S He - Applied Soft Computing, 2023 - Elsevier
In recent years, significant achievements have been made in time series forecasting using
deep learning methods, particularly the Long Short-Term Memory Network (LSTM) …
deep learning methods, particularly the Long Short-Term Memory Network (LSTM) …