Gaussian process regression model for the prediction of the compressive strength of polyurethane-based polymer concrete for runway repair: A comparative approach
Polyurethane (PU) composites have increasingly been used as construction materials to
maintain civil engineering structures such as road pavement, runway, parking area, and …
maintain civil engineering structures such as road pavement, runway, parking area, and …
[HTML][HTML] Machine learning for optimal design of circular hollow section stainless steel stub columns: A comparative analysis with Eurocode 3 predictions
Stainless steel has many advantages when used in structures, however, the initial cost is
high. Hence, it is essential to develop reliable and accurate design methods that can …
high. Hence, it is essential to develop reliable and accurate design methods that can …
[HTML][HTML] State-of-the-Art Review of Geopolymer Concrete Carbonation: from Impact Analysis to Model Establishment
C Zhao, Z Li, S Peng, J Liu, Q Wu, X Xu - Case Studies in Construction …, 2024 - Elsevier
Geopolymer concrete (GPC) is a relatively new, innovative and sustainable green civil
engineering material, which has many advantages similar to ordinary Portland Cement …
engineering material, which has many advantages similar to ordinary Portland Cement …
Determination of carbonation depth and pH in concrete containing crystalline waterproofing agents using the endoscopic method
The monitoring of the carbonation process plays a key role in monitoring the health of
reinforced concrete structures. In this study, the carbonation depth of concrete was …
reinforced concrete structures. In this study, the carbonation depth of concrete was …
[HTML][HTML] Machine learning insight into inhibition efficiency modelling based on synthesized modified graphene oxide of diaminohexane (DAH-GO) and diaminooctane …
The effective prediction of corrosion inhibition efficiency (% IE) of modified graphene oxide
(GO) derivatives diaminohexane-modified graphene oxide (DAH-GO) and diaminooctane …
(GO) derivatives diaminohexane-modified graphene oxide (DAH-GO) and diaminooctane …
A novel approach to predict water quality index using machine learning models: a review of the methods employed and future possibilities
II Aminu - Global Journal of Engineering and Technology …, 2022 - gjeta.com
The development of computer models for water quality index forecasting has been a leading
research topic worldwide which has been considerably recognized over the last two …
research topic worldwide which has been considerably recognized over the last two …
Advancing Sustainable Wastewater Treatment Using Enhanced Membrane Oil Flux and Separation Efficiency through Experimental-Based Chemometric Learning
Efficient oil–water separation using membranes directly aligns with removing oil pollutants
from water sources, promoting water quality. Hence, mitigating environmental harm from oil …
from water sources, promoting water quality. Hence, mitigating environmental harm from oil …
Energy Flow Analysis in Oilseed Sunflower Farms and Modeling with Artificial Neural Networks as Compared to Adaptive Neuro-Fuzzy Inference Systems (Case Study …
The evaluation of energy input and output processes in agricultural systems is a crucial
method for assessing sustainability levels within these systems. In this research, the …
method for assessing sustainability levels within these systems. In this research, the …
Short-term load demand forecasting using nonlinear dynamic grey-black-box and kernel optimization models: a new generation learning algorithm
In this study, new learning algorithms were employed viz: grey-black-box (GBB) and kernel
optimization (K-SVR) for short-term load demand forecasting. The obtained data is randomly …
optimization (K-SVR) for short-term load demand forecasting. The obtained data is randomly …
Compatibility of hybrid neuro-fuzzy model to predict reference evapotranspiration in distinct climate stations
The aim of this study is to model Reference Evapotranspiration (ET0) in Nigeria and Cyprus
with Maiduguri and Larnaca as a case study region. Adaptive Neuro Fuzzy Inference System …
with Maiduguri and Larnaca as a case study region. Adaptive Neuro Fuzzy Inference System …