[HTML][HTML] A protocol for develo** and evaluating neural network-based surrogate models and its application to building energy prediction
Because of their low computational costs, surrogate models (SMs), also known as meta-
models, have attracted attention as simplified approximations of detailed simulations …
models, have attracted attention as simplified approximations of detailed simulations …
Ensemble machine learning models for prediction of flyrock due to quarry blasting
In the mining industry, the most common approach to rock fragmentation is blasting. Blasting
operations generate flyrock, which is a critical and tough task, and its assessment is critical …
operations generate flyrock, which is a critical and tough task, and its assessment is critical …
Machine learning prediction of fiber pull-out and bond-slip in fiber-reinforced cementitious composites
Single fiber pull-out and fiber-matrix interfacial interaction play an essential role in
understanding the mechanical behavior of fiber-reinforced cementitious composites. The …
understanding the mechanical behavior of fiber-reinforced cementitious composites. The …
Computational Intelligence‐Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns
S Sharma, HC Arora, A Kumar, DPN Kontoni… - Shock and …, 2023 - Wiley Online Library
Corrosion of embedded steel reinforcement is the prime influencing factor that deteriorates
the structural performance and reduces the serviceability of reinforced concrete (RC) …
the structural performance and reduces the serviceability of reinforced concrete (RC) …
Statistical study to evaluate performance of cutting machine in dimension stone cutting process
Predicting the amperage consumption of cutting machines could be one of the critical steps
in optimizing the energy-consuming points for the dimension stone cutting industry. Hence …
in optimizing the energy-consuming points for the dimension stone cutting industry. Hence …
Applications of AI and ML techniques to predict backbreak and flyrock distance resulting from blasting
Flyrock due to blasting has always remained risk and adverse environmental impact due to
the past history of accidents with serious bodily injuries, fatalities, and damage to the …
the past history of accidents with serious bodily injuries, fatalities, and damage to the …
Review of Empirical and Intelligent Techniques for Evaluating Rock Fragmentation Induced by Blasting
Rock fragmentation, or the fragment size distribution of blasted rock of bench blasting, is
crucial in excavation of any civil or mining project. The blasting operation plays a pivotal role …
crucial in excavation of any civil or mining project. The blasting operation plays a pivotal role …
[PDF][PDF] Contribution of advanced windows and façades to buildings decarbonization: A comprehensive review
KAR Ismail, FAM Lino, JR Henríquez… - European Journal of …, 2024 - ejosdr.com
Accepted: 26 Apr. 2024 On a global level the building sector consumes about 45.00% of
energy consumption, contributes about 40.00% to emission, uses 30.00% of water and …
energy consumption, contributes about 40.00% to emission, uses 30.00% of water and …
[BOOK][B] Environmental Issues of Blasting: Applications of Artificial Intelligence Techniques
This book gives a rigorous and up-to-date study of the various AI and machine learning
algorithms for resolving environmental challenges associated with blasting. Blasting is a …
algorithms for resolving environmental challenges associated with blasting. Blasting is a …
Enhancing Energy Efficiency in a Hypothetical Building through Analysis of Orientation, wwr, Shading, window shape, and Illuminance Intensity
MM Dagiyan, M Molaei, R Fallah, H Sangin - 2024 - researchsquare.com
The assessment of a building's orientation, incorporating elements such as the dimensions
and layout of openings, as well as shading mechanisms, has perennially been pivotal in …
and layout of openings, as well as shading mechanisms, has perennially been pivotal in …