Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
This study aims to implement a hybrid ensemble surrogate machine learning technique in
predicting the compressive strength (CS) of concrete, an important parameter used for …
predicting the compressive strength (CS) of concrete, an important parameter used for …
Prediction of cement-based mortars compressive strength using machine learning techniques
The application of artificial neural networks in map** the mechanical characteristics of the
cement-based materials is underlined in previous investigations. However, this machine …
cement-based materials is underlined in previous investigations. However, this machine …
Breast cancer diagnosis using genetically optimized neural network model
One in every eight women is susceptible to breast cancer, at some point of time in her life.
Early detection and effective treatment is the only rescue to reduce breast cancer mortality …
Early detection and effective treatment is the only rescue to reduce breast cancer mortality …
Prediction of self-compacting concrete strength using artificial neural networks
Despite the widespread use of self-compacting concrete (SCC) in construction in the last
decades, there is not yet a robust quantitative method, available in the literature, which can …
decades, there is not yet a robust quantitative method, available in the literature, which can …
Towards white box modeling of compressive strength of sustainable ternary cement concrete using explainable artificial intelligence (XAI)
Since the production of sustainable ternary cement concrete (TCC) involves a large range of
constituents which can affect the compressive strength (CS) of TCC in different ways, the …
constituents which can affect the compressive strength (CS) of TCC in different ways, the …
A comprehensive GEP and MEP analysis of a cement-based concrete containing metakaolin
Due to the detrimental environmental consequence of cement formation, studies has
concentrated on decreasing the environmental influence and expense of cement containing …
concentrated on decreasing the environmental influence and expense of cement containing …
Mechanics-guided genetic programming expression for shear-strength prediction of squat reinforced concrete walls with boundary elements
Squat reinforced concrete shear walls with boundary elements (SRCSW-BE) are used in
special structures (eg, nuclear facilities) to resist lateral seismic loads. However, several …
special structures (eg, nuclear facilities) to resist lateral seismic loads. However, several …
A general framework of high-performance machine learning algorithms: application in structural mechanics
Data-driven models utilizing powerful artificial intelligence (AI) algorithms have been
implemented over the past two decades in different fields of simulation-based engineering …
implemented over the past two decades in different fields of simulation-based engineering …
Prediction of the mechanical properties of structural recycled concrete using multivariable regression and genetic programming
This study focuses on the prediction of some of the most important properties of structural
recycled concrete (compressive strength, modulus of elasticity and splitting tensile strength) …
recycled concrete (compressive strength, modulus of elasticity and splitting tensile strength) …
The compression chord capacity model for the shear design and assessment of reinforced and prestressed concrete beams
A simplified mechanical model is presented for the shear strength prediction of reinforced
and prestressed concrete members with and without transverse reinforcement, with I, T or …
and prestressed concrete members with and without transverse reinforcement, with I, T or …