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Estimation of strength, rheological parameters, and impact of raw constituents of alkali-activated mortar using machine learning and SHapely Additive exPlanations …
One-part alkali-activated material (AAM) is a new eco-friendly developed low-carbon binder
that utilizes alkaline activators in solid form. This study deals with the experimental synthesis …
that utilizes alkaline activators in solid form. This study deals with the experimental synthesis …
[HTML][HTML] Investigating the feasibility of using waste eggshells in cement-based materials for sustainable construction
To investigate the effect of eggshell powder on the water-absorption capacity of cement
mortar, this research employed experimental testing followed by machine learning (ML) …
mortar, this research employed experimental testing followed by machine learning (ML) …
Interpretable machine learning framework to predict the glass transition temperature of polymers
MJ Uddin, J Fan - Polymers, 2024 - mdpi.com
The glass transition temperature of polymers is a key parameter in meeting the application
requirements for energy absorption. Previous studies have provided some data from slow …
requirements for energy absorption. Previous studies have provided some data from slow …
[HTML][HTML] Optimizing compressive strength prediction models for rice husk ash concrete with evolutionary machine intelligence techniques
This research intended to increase the understanding of using modern machine intelligence
techniques, including multi-expression programming (MEP) and gene expression …
techniques, including multi-expression programming (MEP) and gene expression …
[HTML][HTML] A data-driven approach to predict the compressive strength of alkali-activated materials and correlation of influencing parameters using SHapley Additive …
This research used gene expression programming (GEP) and multi expression
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …
programming (MEP) to determine the compressive strength (CS) of alkali-activated material …
[HTML][HTML] Testing and modeling methods to experiment the flexural performance of cement mortar modified with eggshell powder
Sustainable development might be promoted if waste eggshells are used in cement-based
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
materials (CBMs) by decreasing waste disposal problems, CO 2 emissions, and material …
Development of compressive strength prediction platform for concrete materials based on machine learning techniques
K Liu, L Zhang, W Wang, G Zhang, L Xu, D Fan… - Journal of Building …, 2023 - Elsevier
With the continuous development of artificial intelligence, machine learning (ML), as an
important branch, is used to promote the digitalization of concrete. Considering that the …
important branch, is used to promote the digitalization of concrete. Considering that the …
Predictive modelling for the acid resistance of cement-based composites modified with eggshell and glass waste for sustainable and resilient building materials
The increasing demand for cement-based composites (CBCs) due to the advancement of
infrastructure causes the exhaustion of natural materials and environmental pollution. Also …
infrastructure causes the exhaustion of natural materials and environmental pollution. Also …
A novel data driven approach for combating energy theft in urbanized smart grids using artificial intelligence
Electricity Theft (ET) causes monetary losses for power utilities in the energy sector. It occurs
when electricity is consumed without being billed. Several methods are available for …
when electricity is consumed without being billed. Several methods are available for …
Comprehensible machine-learning-based models for the pre-emptive diagnosis of multiple sclerosis using clinical data: a retrospective study in the eastern province …
SO Olatunji, N Alsheikh, L Alnajrani, A Alanazy… - International Journal of …, 2023 - mdpi.com
Multiple Sclerosis (MS) is characterized by chronic deterioration of the nervous system,
mainly the brain and the spinal cord. An individual with MS develops the condition when the …
mainly the brain and the spinal cord. An individual with MS develops the condition when the …