[HTML][HTML] Vulnerability of the rip current phenomenon in marine environments using machine learning models

M Najafzadeh, S Basirian, Z Li - Results in Engineering, 2024 - Elsevier
Hidden and perilous rip currents are one of the primary factors leading to drownings of
beach swimmers. By identifying the coastal areas with the highest likelihood of generating …

An evolutionary neuro-fuzzy-based approach to estimate the compressive strength of eco-friendly concrete containing recycled construction wastes

A Ashrafian, NS Hamzehkolaei, NKA Dwijendra… - Buildings, 2022 - mdpi.com
There has been a significant increase in construction and demolition (C&D) waste due to the
growth of cities and the need for new construction, raising concerns about the impact on the …

Exploration and quantification of magnetocaloric effect in EuTiO3 perovskite using extreme learning machine intelligent computational method

JI Agbi, TO Owolabi, DD Abajiigin - Materials Today Communications, 2023 - Elsevier
Perovskite EuTiO 3 is a multi-ferroic titanate oxide material that exhibits huge
magnetocaloric effect at low magnetic field without associated hysteresis loss due to the …

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector …

WA Oke, N Aldhafferi, S Saliu, TO Owolabi… - Cogent …, 2023 - Taylor & Francis
Spinel ferrites are magnetic oxide materials with potentials to promote green technology in
magnetic refrigeration which is known to be economically clean, energy saving and efficient …

Robust projection twin extreme learning machines with capped L1-norm distance metric

Y Yang, Z Xue, J Ma, X Chang - Neurocomputing, 2023 - Elsevier
In this paper, we incorporate the idea of projection twin support vector machines (PTSVM)
into the basic framework of twin extreme learning machines (TELM) and first propose a …

Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification

Z Xue, C Zhao, S Wei, J Ma, S Lin - Applied Intelligence, 2024 - Springer
In general, it is a worth challenging problem to build a robust classifier for data sets with
noises or outliers. Establishing a robust classifier is a more difficult problem for datasets with …

[PDF][PDF] 海南岛岬湾海滩裂流的分布特征研究

朱道恒, 刘润, 李志强, 孙琰, 胡鹏鹏 - 海洋学报, 2024 - hyxbocean.cn
海南岛海岸以岬湾海滩为主, 是我国重要的滨海旅游目的地, 也是裂流引起滨海溺水事故的高发
地. 为研究海南岛岬湾海滩裂流的分布特征, 从海南环岛54 个岬湾海滩近20 …

Network intrusion detection utilizing information entropy measurement-based LLE and weighted kernel extreme learning machine with CPSO

Y Yao, X Chen, P Zhang - 2023 - researchsquare.com
In this study, network intrusion detection method of information entropy measurement-based
LLE and weighted kernel extreme learning machine with CPSO (IEMLLE-CWKELM) is …

[PDF][PDF] Results in Engineering

M Najafzadeh, S Basirian, Z Li - researchgate.net
Hidden and perilous rip currents are one of the primary factors leading to drownings of
beach swimmers. By identifying the coastal areas with the highest likelihood of generating …