Renewable energy and energy storage systems
The use of fossil fuels has contributed to climate change and global warming, which has led
to a growing need for renewable and ecologically friendly alternatives to these. It is accepted …
to a growing need for renewable and ecologically friendly alternatives to these. It is accepted …
Computer vision and machine learning methods for heat transfer and fluid flow in complex structural microchannels: A review
Heat dissipation in high-heat flux micro-devices has become a pressing issue. One of the
most effective methods for removing the high heat load of micro-devices is boiling heat …
most effective methods for removing the high heat load of micro-devices is boiling heat …
[HTML][HTML] Bim-based energy analysis and optimization using insight 360 (case study)
Building information modeling (BIM) is a modern data information platform and management
tool that promotes the development of green buildings. In Pakistan, the building sector …
tool that promotes the development of green buildings. In Pakistan, the building sector …
[HTML][HTML] Optimizing durability assessment: Machine learning models for depth of wear of environmentally-friendly concrete
The use of fly ash in cementitious composites has gained popularity. However, assessing
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
the depth of wear (DW) of concrete requires expensive and destructive laboratory tests …
Comparative analysis of various machine learning algorithms to predict strength properties of sustainable green concrete containing waste foundry sand
The use of waste foundry sand (WFS) in concrete production has gained attention as an eco-
friendly approach to waste reduction and enhancing cementitious materials. However …
friendly approach to waste reduction and enhancing cementitious materials. However …
[HTML][HTML] Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms
Abstract Three-dimensional (3D) printing in the construction industry is growing rapidly due
to its inherent advantages, including intricate geometries, reduced waste, accelerated …
to its inherent advantages, including intricate geometries, reduced waste, accelerated …
[HTML][HTML] Prediction of sustainable concrete utilizing rice husk ash (RHA) as supplementary cementitious material (SCM): Optimization and hyper-tuning
Rice Husk ash (RHA) utilization in concrete as a waste material can contribute to the
formation of a robust cementitious matrix with utmost properties. The strength of HPC when …
formation of a robust cementitious matrix with utmost properties. The strength of HPC when …
[HTML][HTML] BIM-based architectural analysis and optimization for construction 4.0 concept (a comparison)
The growing need for electricity has put Pakistan's burgeoning economy in peril. The notion
of “Construction 4.0 ″is considered in this study since it enables the greatest utilization of …
of “Construction 4.0 ″is considered in this study since it enables the greatest utilization of …
Optimization of the electricity generation of a wave energy converter using deep reinforcement learning
Ocean wave energy is one of the sustainable energy sources which continues to attract
increasing research interests. Traditionally, the model-based controls of Wave Energy …
increasing research interests. Traditionally, the model-based controls of Wave Energy …
[HTML][HTML] Compressive strength prediction of concrete blended with carbon nanotubes using gene expression programming and random forest: hyper-tuning and …
D Yang, P Xu, A Zaman, T Alomayri, M Houda… - Journal of Materials …, 2023 - Elsevier
The strength of carbon nanotubes (CNTs) and cement composites is dependent on multiple
variables. In addition, CNTs added to a cement-based matrix can boost its strength …
variables. In addition, CNTs added to a cement-based matrix can boost its strength …