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With a fixed initial effective population size (N1) of 600 and a population decline to an N2 of 50, we could detect a reduction of from the original N1 (detection perspective) after only one generation in 80% or more cases for each method when sampling just 25 individuals and 20 microsatellite loci.
From the anomaly detection perspective, the Convolutional Autoencoder (CAE) is an interesting choice, since it captures the 2D structure in image sequences during the learning process.
This demonstrates potential, important utility from a disease detection perspective.
An important implication of taking the signal detection perspective on the problem is that a satisfactory or optimal solution cannot be specified without taking the larger context (e.g. the economic consequences) into account.
Aligned with the integrated signal detection perspective, we are currently developing a semantically-enriched signal detection platform relying on the semantic harmonization of signal detection methods and data sources [ 55].
Although not explicitly related to the integrated signal detection perspective presented in this paper, semantic technologies have been employed in several drug safety applications, e.g. in order to automate signal detection, address heterogeneous data integration for safety assessment, normalize drug safety data, facilitate adverse event reporting, and semantically analyze case reports.
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From a diagnostic perspective, detection of circulating biomarkers for cancer diagnosis is an interesting application of SPR-based detection platforms.
We focus on improving intrusion detection from the perspective of aggregating security sensor data from systems and devices which exhibit a great deal of heterogeneity.
Sickness response components that occur early, persist and mirror clinical sign progression may be better for BRD detection; from this perspective, DMI was the most promising.
From the histopathologic perspective, detection of Actinomyces is important because these bacteria have been shown to be associated with prolonged treatment duration.
The research community has recently started to approach copy-move detection from the perspective of the attacker, whose goal is to hide the features causing similar blocks or keypoints to match.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com