[HTML][HTML] AI-Neural Networking Analysis (NNA) of Thermally Slip Magnetized Williamson (TSMW) fluid flow with heat source
KU Rehman, W Shatanawi, WG Alharbi… - Case Studies in Thermal …, 2024 - Elsevier
The thermal case study is conducted by using artificial intelligence to examine the heat
transfer traits in Williamson fluid flow with heat source and thermal slip effects. The thermal …
transfer traits in Williamson fluid flow with heat source and thermal slip effects. The thermal …
[HTML][HTML] Prediction of the compressive strength of vibrocentrifuged concrete using machine learning methods
AN Beskopylny, SA Stel'makh, EM Shcherban'… - Buildings, 2024 - mdpi.com
The determination of mechanical properties for different building materials is a highly
relevant and practical field of application for machine learning (ML) techniques within the …
relevant and practical field of application for machine learning (ML) techniques within the …
[HTML][HTML] Group theoretic thermal analysis on heat transfer coefficient (HTC) at thermally slip surface with tangent hyperbolic fluid: AI based decisions
KU Rehman, W Shatanawi, WG Alharbi - Case Studies in Thermal …, 2024 - Elsevier
By following the statistics, over the last few years, the use of Artificial Intelligence conjectured
with mathematical models has increased abundantly for physical problems having thermal …
with mathematical models has increased abundantly for physical problems having thermal …
[HTML][HTML] Prediction of tool eccentricity effects on the mechanical properties of friction stir welded AA5754-H24 aluminum alloy using ANN model
The current study uses three different pin eccentricities (e) and six different welding speeds
to investigate the impact of pin eccentricity on friction stir welding (FSW) of AA5754-H24. To …
to investigate the impact of pin eccentricity on friction stir welding (FSW) of AA5754-H24. To …
[HTML][HTML] Research on performance monitoring of binary nano modified concrete based on temperature variation
D Syamsunur, L Wei, MN Hisyam, ZA Memon… - Case Studies in …, 2023 - Elsevier
The use of concrete is widespread, but it poses challenges due to its high consumption of
Earth's raw resources and difficulties in recycling and reclamation. Today, the pressing …
Earth's raw resources and difficulties in recycling and reclamation. Today, the pressing …
[HTML][HTML] Lie symmetry based neural networking analysis for Powell–Eyring fluid flow with heat and mass transfer effects
KU Rehman, W Shatanawi - International Journal of Thermofluids, 2024 - Elsevier
Heat exchangers, drying, dehydration, pollutant dispersion, separation processes, and
biological individualities to name a few are significant phenomena in numerous fields and …
biological individualities to name a few are significant phenomena in numerous fields and …
[PDF][PDF] Optimization of tuff stones content in lightweight concrete using artificial neural networks
Tuff stones are volcanic sedimentary rocks formed by the consolidation of volcanic ash. They
possess unique geological properties that make them attractive for a variety of construction …
possess unique geological properties that make them attractive for a variety of construction …
[HTML][HTML] Experimental Investigation and Machine Learning Prediction of Mechanical Properties of Rubberized Concrete for Sustainable Construction
Concrete is widely used in civil engineering applications and the natural aggregates which
used in concrete are scarce, but its demand is increasing. The disposal of rubber tyres …
used in concrete are scarce, but its demand is increasing. The disposal of rubber tyres …
[HTML][HTML] Comparative study on the effects of five nano-metallic oxide particles on the long-term mechanical property and durability of cement mortar
S Dong, S Yu, L Chen, Q Zhuo, F Wu, L Xie, L Liu - Buildings, 2023 - mdpi.com
Nano-metallic oxide particles have been found to be potentially effective microstructural
reinforcements for cement mortar and have become a research hotspot in recent years for …
reinforcements for cement mortar and have become a research hotspot in recent years for …
An Intelligent Approach for Predicting Mechanical Properties of High-Volume Fly Ash (HVFA) Concrete
Plastic waste (PW) is a major soild waste, which its generation continues to increase
globally year in and year out. Proper management of the PW is still a challenge due to its …
globally year in and year out. Proper management of the PW is still a challenge due to its …