A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance
Full-face tunnel boring machine (TBM) is a modern and efficient tunnel construction
equipment. A reliable and accurate TBM performance (like penetration rate, PR) prediction …
equipment. A reliable and accurate TBM performance (like penetration rate, PR) prediction …
[PDF][PDF] Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
This study is aimed to predict the behaviour of channel shear connectors in composite floor
systems at different temperatures. For this purpose, a soft computing approach is adopted …
systems at different temperatures. For this purpose, a soft computing approach is adopted …
[PDF][PDF] Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)
Different parameters potentially affect the properties of corroded reinforced concrete beams.
However, the high number of these parameters and their dependence cause that the …
However, the high number of these parameters and their dependence cause that the …
The effect of carbon dioxide emissions on the building energy efficiency
During this anthropocentric period, sustainable energy supply and climate changing could
be a main source of problem for human being. Scientists believe that the ratio of climate …
be a main source of problem for human being. Scientists believe that the ratio of climate …
A review study of application of artificial intelligence in construction management and composite beams
This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil
engineering applications such as predicting and evaluating the different parameters of …
engineering applications such as predicting and evaluating the different parameters of …
Development of an optimally designed real-time automatic citrus fruit grading–sorting machine leveraging computer vision-based adaptive deep learning model
Conventional automation approaches for postharvest operations are plagued by time and
data inefficiency seldom leading to suboptimal solutions. Automatic machines often require …
data inefficiency seldom leading to suboptimal solutions. Automatic machines often require …
[PDF][PDF] Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber
Soil shear strength parameters play a remarkable role in designing geotechnical structures
such as retaining wall and dam. This study puts an effort to propose two accurate and …
such as retaining wall and dam. This study puts an effort to propose two accurate and …
Assessment in carbon-based layered double hydroxides for water and wastewater: Application of artificial intelligence and recent progress
Layered double hydroxides (LDHs) are a class of clays with brucite like layers and
intercalated anions. Hybrids of carbon nanomaterials and layered double hydroxides (C …
intercalated anions. Hybrids of carbon nanomaterials and layered double hydroxides (C …
Numerical study on the structural performance of corrugated low yield point steel plate shear walls with circular openings
Corrugated steel plate shear wall (CSPSW) as an innovative lateral load resisting system
provides various advantages in comparison with the flat steel plate shear wall, including …
provides various advantages in comparison with the flat steel plate shear wall, including …
[PDF][PDF] Experimental study on axial compressive behavior of welded built-up CFT stub columns made by cold-formed sections with different welding lines
The objective of this study is to experimentally scrutinize the axial performance of built-up
concrete filled steel tube (CFT) columns composed of steel plates. In this case, the main …
concrete filled steel tube (CFT) columns composed of steel plates. In this case, the main …