Performance of different machine learning techniques in predicting the flexural capacity of concrete beams reinforced with FRP rods
C Ngamkhanong, S Alzabeebee… - Asian Journal of Civil …, 2024 - Springer
Nowadays, fiber-reinforced polymer (FRP) rods have become an optional material for
reinforced concrete structures instead of steel. This material has high corrosion resistance …
reinforced concrete structures instead of steel. This material has high corrosion resistance …
A neural network trained by multi-tracker optimization algorithm applied to energy performance estimation of residential buildings
Y Gong, ES Zoltán, J Gyergyák - Buildings, 2023 - mdpi.com
Energy performance analysis in buildings is becoming more and more highlighted, due to
the increasing trend of energy consumption in the building sector. Many studies have …
the increasing trend of energy consumption in the building sector. Many studies have …
[HTML][HTML] Investigation of intumescent coating on the fire endurance of concrete-filled steel columns with varied characteristics
BK Cirpici, I Aydin - Journal of Materials Research and Technology, 2023 - Elsevier
Concrete-filled steel columns (CFSC) are becoming increasingly popular in contemporary
construction, particularly for the construction of tall buildings and structures with large spans …
construction, particularly for the construction of tall buildings and structures with large spans …
Satin bowerbird optimizer-neural network for approximating the capacity of CFST columns under compression
Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Concrete-filled steel tube columns (CFSTCs) are important elements in the construction
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
sector and predictive analysis of their behavior is essential. Recent works have revealed the …
Big data analytics in healthcare environment using chaotic red deer optimizer with deep learning for disease classification model
RH Kumar, G Sunitha - Multimedia Tools and Applications, 2024 - Springer
Deep learning (DL) and big data analytics are powerful tools when combined for disease
detection and healthcare applications. They enable the processing of vast amounts of …
detection and healthcare applications. They enable the processing of vast amounts of …
Machine learning applications in the development of sustainable building materials to reduce carbon emission
Concrete is the most commonly used construction material and the source of around 8% of
the world's CO 2 emissions, which is very alarming to the environment. Therefore, to reduce …
the world's CO 2 emissions, which is very alarming to the environment. Therefore, to reduce …
Hybrid RNN and metaheuristic approach for modeling and optimization of seismic behavior in thin-walled rectangular hollow bridge piers
SMA Alkhawaldeh - Asian Journal of Civil Engineering, 2024 - Springer
In seismic structural engineering, there is a significant issue in comprehending the behavior
of thin-walled rectangular hollow bridge piers within the context of dynamic phenomena …
of thin-walled rectangular hollow bridge piers within the context of dynamic phenomena …