Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Assessment of mechanical properties with machine learning modeling and durability, and microstructural characteristics of a biochar-cement mortar composite
Rising CO 2 emissions have become one of the biggest environmental challenges in recent
years. Due to the rising carbon footprint of the building industry, CO 2 emission regulation …
years. Due to the rising carbon footprint of the building industry, CO 2 emission regulation …
Modelling the mechanical properties of concrete produced with polycarbonate waste ash by machine learning
India's cement industry is the second largest in the world, generating 6.9% of the global
cement output. Polycarbonate waste ash is a major problem in India and around the globe …
cement output. Polycarbonate waste ash is a major problem in India and around the globe …
Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches
In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
[HTML][HTML] Nonlinear finite element and machine learning modeling of tubed reinforced concrete columns under eccentric axial compression loading
There is still insufficient data on the behavior of tubed-reinforced concrete columns (TRCCs)
under the eccentric compression. Thus, this research work comprehensively examines the …
under the eccentric compression. Thus, this research work comprehensively examines the …
Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches
This investigation introduces the optimal performance models for predicting the compressive
strength (CS) and pozzolanic activity index (PAI) by comparing the machine learning …
strength (CS) and pozzolanic activity index (PAI) by comparing the machine learning …
Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology
The ceramic industry produces a significant volume of ceramic waste (CW), representing
around 20–30% of its the entire output. The waste mostly comes from challenges noticed in …
around 20–30% of its the entire output. The waste mostly comes from challenges noticed in …
Prediction of steel plate-based damper for improving the behavior of concentrically braced frames based on RSM and ML approaches for sustainable structures
The stiffness (K) and slenderness factor (λ) of a steel plate-based damper has been studied
on the basis of elastic-inelastic-plastic buckling (EIP) modes and flexural/shear/flexural …
on the basis of elastic-inelastic-plastic buckling (EIP) modes and flexural/shear/flexural …
Effect of rice husk ash silicon nitride on mechanical, wear, thermal conductivity, and flammability behavior of aluminized glass-kenaf fiber-reinforced polyester …
The main goal of this present research was to find out how combining hybridized fiber
(aluminized glass and kenaf fiber) and biomass-derived bioceramic silicon nitride (Si3N4) …
(aluminized glass and kenaf fiber) and biomass-derived bioceramic silicon nitride (Si3N4) …
Machine learning optimization of bio-sandcrete brick modelling using response surface methodology
In this study, raw grinded groundnut shell (RGGNS) was used as a fine aggregate in the
brick industry to reuse agricultural waste in building materials. In this study, an experimental …
brick industry to reuse agricultural waste in building materials. In this study, an experimental …
Predicting an energy use intensity and cost of residential energy-efficient buildings using various parameters: ANN analysis
During their operational phase, the buildings consume significant amounts of energy. It is
one of the most significant sources of carbon emissions throughout their service life, which …
one of the most significant sources of carbon emissions throughout their service life, which …