[HTML][HTML] Vulnerability of the rip current phenomenon in marine environments using machine learning models
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
beach swimmers. By identifying the coastal areas with the highest likelihood of generating …