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[HTML][HTML] Marine predators algorithm: A comprehensive review
S Mugemanyi, Z Qu, FX Rugema, Y Dong… - Machine Learning with …, 2023 - Elsevier
Marine predators algorithm (MPA) is a recently proposed metaheuristic algorithm that
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
mimics the marine predators behavior when attacking their preys. Recently, the MPA has …
[HTML][HTML] Multi-objective optimization of sustainable concrete containing fly ash based on environmental and mechanical considerations
Infrastructure design, construction and development experts are making frantic efforts to
overcome the overbearing effects of greenhouse gas emissions resulting from the continued …
overcome the overbearing effects of greenhouse gas emissions resulting from the continued …
Influence of sustainable waste granite, marble and nano-alumina additives on ordinary concretes: a physical, structural, and radiological study
This study investigates the individual and combined effects of enhancing the radiation
shielding properties of waste concrete using the optimal mix design of two waste material …
shielding properties of waste concrete using the optimal mix design of two waste material …
Machine learning for predicting concrete carbonation depth: a comparative analysis and a novel feature selection
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
Tough and Ductile Architected Nacre‐Like Cementitious Composites
Enhancing fracture toughness and ductility of brittle materials such as concrete remains a
challenge. Nature offers numerous mechanisms to enhance fracture toughness using …
challenge. Nature offers numerous mechanisms to enhance fracture toughness using …
[HTML][HTML] Optimization of green concrete containing fly ash and rice husk ash based on hydro-mechanical properties and life cycle assessment considerations
The development of sustainable concrete in achieving the developmental goals of the
United Nations in terms of sustainable infrastructure and innovative technology forms part of …
United Nations in terms of sustainable infrastructure and innovative technology forms part of …
Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach
This study presents a prediction model for estimating the compressive strength of pervious
concrete through the utilisation of machine learning techniques. The models were trained …
concrete through the utilisation of machine learning techniques. The models were trained …
An intelligent mix design system for sustainable concrete containing multi-source recycled aggregate
The source complexity of recycled aggregate (RA) generally leads to significant fluctuations
in the aggregate quality, which brings difficulties in the mix design of the recycled aggregate …
in the aggregate quality, which brings difficulties in the mix design of the recycled aggregate …
A novel evolutionary learning to prepare sustainable concrete mixtures with supplementary cementitious materials
In this study, sustainable mixture designs of three concrete types, including fly ash concrete,
silica fume concrete, and ground granulated blast furnace slag concrete, were investigated …
silica fume concrete, and ground granulated blast furnace slag concrete, were investigated …
[HTML][HTML] Comparative studies of LC3-and fly ash-based blended binders in fibre-reinforced printed concrete (FRPC): Rheological and quasi-static mechanical …
Supplementary cementitious materials (SCMs) became in recent decades popular and
promising materials as partial replacements for cement in construction engineering. These …
promising materials as partial replacements for cement in construction engineering. These …