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Replication bases all its result verification decisions in results/info provided by third parties, i.e., the participant workers.
In biometrics, a common approach to make automated verification decisions (that is, reject or accept the claim that a person has a certain identity based on a comparison of some measured characteristics with a template) is to model both the variations between samples coming from different persons and the variations between samples coming from the same person with normal distributions.
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Consequently, location verification decision results in a false positive.
(3) Privacy: A high level of protection needs to be exerted against the adversary who could be interested in all user-specific information other than the verification decision of the system.
The proposed THRIVE system can work with any biometric feature extraction scheme whose templates are binary or can be binarized (e.g., by using thresholded random projection schemes) and where the verification decision can be based on Hamming distances between templates.
It needs not only a large amount of analysis and verification, but also decisions made by dispatching personnel.
For candidate verification, the normalized decisions c i,k of each characteristic i are weighted for each candidate k according to its significance and compared to a threshold: frac{1}{3}c_{1,k} + frac{2}{9}c_{2,k} + frac{4}{9}c_{3,k} > frac{7}{9}.
In order to add an extra level of verification to the decision-making process and increase its reliability, some research studies have employed multiple MCDM methods to the same decision problem simultaneously.
When the number of first-order factor is as few as two, the higher-order factor is not even susceptible to verification, and a decision is often made based on some other criteria.
We recognize that using a key variable checklist to improve decision verification requires identification of diagnostic task where the problem space is well defined and key variables can be identified (e.g., ECG interpretation, chest X-ray interpretation, or cardiac physical exam).
Understanding and monitoring pressures on ecosystems and their consequences for ecosystem services (ES) is essential for management decisions and verification of progress towards national and international policies (e.g. Aichi Biodiversity Targets, Sustainable Development Goals).
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