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Consequences of an alternative emission metric

Nature Food, 2021
GWP* is an alternative emission metric that better represents the short-lived character of methane, but its application is not straightforward and can have a substantial impact on the design of mitigation policies in agriculture.
openaire   +3 more sources

Analysis of Alternative Performance Metrics for Compressive Spectral Imaging

open access: yes, 2020
Compressive spectral imaging is a technique that reconstructs the three-dimensional (3D) spectral data cube from limited number of two-dimensional (2D) measurements.
Figen S Öktem
exaly   +2 more sources

An Efficient Subcycle Alternative to Instantaneous Power Metrics

IEEE Transactions on Industrial Informatics, 2022
In this article, we discuss the relationship between subcycle and instantaneous power metrics in polyphase ac systems. While both approaches have very low computational cost, which makes them suitable for real-time control of industrial processes, the two-sample subcycle scheme offers several distinct advantages over the purely-instantaneous approach ...
Afsaneh Ghanavati   +2 more
openaire   +1 more source

Alternative Security Metrics

2011 Eighth International Conference on Information Technology: New Generations, 2011
Today's security metrics support management practices rather than measure system capability to withstand attacks. This eliminates consideration of security features that are not currently used to manage systems as the basis for security metrics. Rather than judge security metrics by a utility standard with respect to current security management ...
openaire   +1 more source

Alternative Connectivity Metric for Routing in VANETs

2019
In vehicular ad-hoc networks a path has to be found to send a message from one vehicle to another vehicle. This path has to have a connectivity rate that is high enough to obtain a high probability of arrival of the message. In other approaches, the average distance between vehicles on a link of the network is used as metric for connectivity.
Frank Phillipson   +2 more
openaire   +3 more sources

An alternative to metric rescaling in Viterbi decoders

IEEE Transactions on Communications, 1989
In the Viterbi algorithm, the negative log-likelihood estimates, accumulated distances, or path metrics are unboundedly increasing functions of time. For implementation, all variables must be confined to a finite range. The following properties of the Viterbi algorithm can be exploited for this purpose: (1) path selection depends only on differences of
openaire   +1 more source

Non-metric statistical analyses: Some metric alternatives

Journal of Statistical Planning and Inference, 1986
Two classes of permutation techniques for completely randomized and randomized block designs are considered in this expository paper. The analysis space of these techniques corresponds to the data space in question for only a small subset of these classes (the congruence principle is satisfied when this correspondence holds).
openaire   +1 more source

Alternative evaluation metrics for risk adjustment methods

Health Economics, 2018
AbstractRisk adjustment is instituted to counter risk selection by accurately equating payments with expected expenditures. Traditional risk‐adjustment methods are designed to estimate accurate payments at the group level. However, this generates residual risks at the individual level, especially for high‐expenditure individuals, thereby inducing ...
Sungchul Park, Anirban Basu
openaire   +2 more sources

An Alternative Derivation of the Distribution of the Individual Bioequivalence Metric

Drug Development and Industrial Pharmacy, 2003
A method is proposed for estimating the probability density function (PDF) of the individual bioequivalence metric. We show that under the usual assumption of independence of the various random variables, the computations are quite feasible. A program to evaluate the integrals needed for the computations has been written.
Sanford, Bolton   +2 more
openaire   +2 more sources

Multi-class AUC metrics and weighted alternatives

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
The area under the receiver operating characteristic curve (AUC) is a useful and widely used measure to evaluate the performance of binary and multi-class classification models. However, it does not take into account the exact numerical output of the models, but rather looks at how the output ranks the cases.
Ben Van Calster   +5 more
openaire   +1 more source

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