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Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling
In this study, we developed an ANFIS-GA-PSO hybrid model for predicting the shear
strength of concrete beams. Predicting the shear strength of concrete beams before …
strength of concrete beams. Predicting the shear strength of concrete beams before …
Human development index in a context of human development: Review on the western Balkans countries
Abstract Introduction The Human Development Index (HDI), as one of the more complex
composite indicators of the level of human potential and quality of life, is a combination of …
composite indicators of the level of human potential and quality of life, is a combination of …
Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia
Urbanization and population growth have resulted in a significant increase in the amount of
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …
engineering structures. This parameter is generally determined by conducting several tests …
Mean–variance portfolio optimization using machine learning-based stock price prediction
W Chen, H Zhang, MK Mehlawat, L Jia - Applied soft computing, 2021 - Elsevier
The success of portfolio construction depends primarily on the future performance of stock
markets. Recent developments in machine learning have brought significant opportunities to …
markets. Recent developments in machine learning have brought significant opportunities to …
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 …
Introducing stacking machine learning approaches for the prediction of rock deformation
Accurate and reliable predictions of rock deformations are crucial in many rock-based
projects in civil and mining engineering. In this research, a new system for the prediction of …
projects in civil and mining engineering. In this research, a new system for the prediction of …
Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)
Mineral admixtures have been widely used to produce concrete. Pozzolans have been
utilized as partially replacement for Portland cement or blended cement in concrete based …
utilized as partially replacement for Portland cement or blended cement in concrete based …
On the modelling of the vibration behaviors via discrete singular convolution method for a high-order sector annular system
Y Liu, W Wang, T He, Z Moradi… - Engineering with …, 2022 - Springer
This research presents a numerical investigation on the dynamic information of the
axisymmetric sandwich annular sector plate via a higher-order continuum elasticity theory …
axisymmetric sandwich annular sector plate via a higher-order continuum elasticity theory …
Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures
A developed comparative analysis of metaheuristic optimization algorithms has been used
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …