Results 1 to 10 of about 442,254 (313)
Experimental Investigation and Modeling of Aeration Efficiency at Labyrinth Weirs [PDF]
Journal of Soft Computing in Civil Engineering, 2021 For maintaining healthy streams and rivers, a high concentration of oxygen is desired and hydraulic structures act as natural aerators where oxygen transfer occurs by creating turbulence in the water.
Aradhana Singh +2 more
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PRODUÇÃO DE VERDADES SOBRE A DOAÇÃO DE SANGUE: UMA ANÁLISE NA PERSPECTIVA DE FOUCAULT
Hematology, Transfusion and Cell Therapy, 2023 Introdução: Em diferentes contextos, bem como no processo de doação de sangue, as verdades vão se recriando, e o sujeito vai se constituindo, criando a si mesmo como um sujeito em transformação. A produção de verdades se reflete nas práticas de doação de
SVM Galvão, IC Velloso
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BMC Bioinformatics, 2007 Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being considered in a number of different ways.An SVM-based clustering algorithm is introduced that clusters data with no a priori knowledge of input classes.
Winters-Hilt, Stephen, Merat, Sam
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Animals, 2022 The morphology of the gastrointestinal tract (GI) is a strong indicator of a species’ dietary habits. The objective of this study was to describe and quantitatively analyze the gross and microanatomy of the digestive tract of the orange/red-rumped agouti
Kegan Romelle Jones +2 more
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Hybrid modeling method of dust suppression efficiency for dry fog dust suppression process [PDF]
MATEC Web of Conferences, 2022 The original mechanism model of dust suppression efficiency for dry fog dust suppression could not guide the actual process. In order to accurately predict the dust suppression efficiency in the process, a new mechanism model was established by my ...
Li Hailiang, Li Hongyang
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Learning using privileged information: SVM+ and weighted SVM [PDF]
Neural Networks, 2014 Prior knowledge can be used to improve predictive performance of learning algorithms or reduce the amount of data required for training. The same goal is pursued within the learning using privileged information paradigm which was recently introduced by Vapnik et al.
Lapin, M. +2 more
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G_(α,β) Antagonistic Intuitionistic Fuzzy Sub Commutative Ideals of Subtraction G-Algebra
Ratio Mathematica, 2022 The notions of over antagonistic intuitionistic fuzzy sub commutative ideals of subtraction G-algebras are introduced. The characterization properties of antagonistic intuitionistic fuzzy sub commutative ideals are obtained. We investigate the relations
B Lena, C Ragavan
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Artificial Intelligence Based Prediction of Seawater Level: A Case Study for Bosphorus Strait [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 Sea level prediction is an important phenomenon for making reliable oceanographic and ship traffic management decisions especially for Bosphorus Strait that has no permanent sea level measurement stations due to high cost.
Yavuz Karsavran, Tarkan Erdik
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Scope for growth and dietary needs of Mediteranean Pinnids maintained in captivity
BMC Zoology, 2022 Background The measurement of the energy available for growth (scope of growth, SFG) can be used in bivalves to make a long-term prediction in a short-term experiment of the condition of the individual.
S. Hernandis +6 more
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Total Stability of SVMs and Localized SVMs
, 2021 Regularized kernel-based methods such as support vector machines (SVMs) typically depend on the underlying probability measure $\mathrm{P}$ (respectively an empirical measure $\mathrm{D}_n$ in applications) as well as on the regularization parameter $ $ and the kernel $k$.
Köhler, Hannes, Christmann, Andreas
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