Results 121 to 130 of about 12,600 (183)
Normalizing Covalent Potency for Electrophilicity with Ligand Reactivity Efficiency. [PDF]
Horning BD +5 more
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Enhanced trace detection of haloacetic acids in water using on-line isotachophoresis-capillary zone electrophoresis coupled with liquid-liquid extraction. [PDF]
Kaykhaii M, Masár M.
europepmc +1 more source
Examining the Compositional Selectivity of Hydrocarbon Oxidation Products Using Liquid-Liquid Extraction and Solid-Phase Extraction Techniques. [PDF]
Zito P +4 more
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Spinal Cord Stimulation as a Potential Therapeutic Modality for Managing Concurrent Chronic Low Back and Abdominal Pain Complicated by Device Migration: A Case Report. [PDF]
Mo B, Sacks S, Markar J.
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Pattern Recognition, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Z Y Hu
exaly +2 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Z Y Hu
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ISOLLE: LLE with geodesic distance
Neurocomputing, 2006We propose an extension of the algorithm for nonlinear dimensional reduction locally linear embedding (LLE) based on the usage of the geodesic distance (ISOLLE). In LLE, each data point is reconstructed from a linear combination of its n nearest neighbors, which are typically found using the Euclidean distance. We show that the search for the neighbors
Andreas Degenhard, Tim W Nattkemper
exaly +2 more sources
The UNIFAC-LLE and COSMO-SAC ternary aqueous LLE calculations
Fluid Phase Equilibria, 2019Abstract The reliable description of a liquid-liquid equilibrium system is irrefragably important, given that liquid-liquid equilibrium has several important applications in industry, such as the extraction of propionic acid, reactant of esterification reaction for thermoplastics production, the removal of congeners of bioethanol through the ...
Christian L Silveira +1 more
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A noise-insensitive LLE algorithm
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010The core idea of LLE is that high-dimensional data can be seen near-linear dependency from the local perspective. That is, at a local scale, a data point can be linear representation by its nearest neighbor interpolation, but for noisy data, its local linear representation will produce deviations, as result, the error of dimension reduction is greater.
Zhou Yong, Gou Hong Yun
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