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Proximity Measures for Cluster Analysis
2009The present chapter provides the basic information about the measures of proximity between two subjects or groups of subjects. It is obvious that these concepts must be clear in order to apply them to any pattern recognition analysis, both supervised and unsupervised.
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Proximity effect correction sensitivity analysis
SPIE Proceedings, 2010Determining the quality of a proximity effect correction (PEC) is often done via 1-dimensional measurements such as: CD deviations from target, corner rounding, or line-end shortening. An alternative approach would compare the entire perimeter of the exposed shape and its original design.
Zepka A. +3 more
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, 2019
In order to evaluate the potential and make a technical assessment of biomass energy, it is crucial to determine the higher heating value (HHV) of biomass fuels.
A. Dashti +5 more
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In order to evaluate the potential and make a technical assessment of biomass energy, it is crucial to determine the higher heating value (HHV) of biomass fuels.
A. Dashti +5 more
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Sampling and Proximate Analysis
1987Considerable information about a food sample can be gained through a general analysis of its main components—moisture, crude fat, crude protein, ash, and crude fiber. The determination of the percentages of these components is termed a proximate analysis.
Leonard W. Aurand +2 more
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Proximate Composition Analysis
2015The proximate composition of foods includes moisture, ash, lipid, protein and carbohydrate contents. These food components may be of interest in the food industry for product development, quality control (QC) or regulatory purposes. Analyses used may be rapid methods for QC or more accurate but time-consuming official methods.
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Protein Sequence Analysis by Proximities
2016Sequence data are widely used to get a deeper insight into biological systems. From a data analysis perspective they are given as a set of sequences of symbols with varying length. In general they are compared using nonmetric score functions. In this form the data are nonstandard, because they do not provide an immediate metric vector space and their ...
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Proximal analysis in smooth spaces
Set-Valued Analysis, 1996The authors discuss different strategies for the definition of subdifferentials for lower semicontinuous functions on a Banach space \(X\). Many notions -- especially the Clarke subdifferential and the approximate \(G\)-subdifferential of Ioffe -- are introduced by a topological way in three steps: (i) definition of \(\partial f\) for Lipschitz ...
Borwein, Jonathan M., Ioffe, Alexander
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Genome-Wide Proximal Promoter Analysis and Interpretation
2009High-throughput gene expression technologies based on DNA microarrays allow the examination of biological systems. However, the interpretation of the complex molecular descriptions generated by these approaches is still challenging. The development of new methodologies to identify common regulatory mechanisms involved in the control of the expression ...
Corrales, F.J. (Fernando José) +3 more
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Prediction of higher heating value of biochars using proximate analysis by artificial neural network
Biomass Conversion and Biorefinery, 2021G. Çakman, Saba A. Gheni, S. Ceylan
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Proximal Decision Analysis with Imperfect Information
Management Science, 1976In proximal decision analysis the value of a decision depends on a vector of state variables s and a vector of decision variables d in a quadratic fashion. Suppose some data, represented by a vector x, can be obtained. This paper describes a technique for using the data and develops an expression for the value of the information conveyed by the data ...
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