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Recorded TV transmissions were visually screened for advertising content to identify advertisements which were subsequently coded as per protocol outline in Fig. 1.
This location information is only used to classify and identify advertisements after they are extracted by our proposed search algorithm.
In this study, we leverage textual data from the website "Backpage"—used for classified advertisement to discern potential patterns of human trafficking activities which manifest online and identify advertisements of high interest to law enforcement.
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This process is used to quickly detect the recurrence of the identified advertisements in the Buffer window using Repeated Ad Database.
Results from comparisons between our method and other semi-supervised and supervised approaches on the labeled data demonstrate that our learner is effective in identifying advertisements of high interest to law enforcement.
In this work, we propose an approach, namely, Sampled and Skipping Search (SSS), to discover and identify unknown advertisements for large collection of audio podcasting by making use of specific knowledge of typical podcast structure consisting of multiple short files.
Notice that we do not wish to exactly identify the advertisement's location in this step; however, the candidate segmentation step is only used to identify the search areas for the Repeated Ad Detection as candidate segments and skip all the noncandidate segments which do not likely contain any advertisement.
Senate Democrats are readying a fresh legislative push to demand that such groups disclose their donors and attach disclaimers to their political advertising identifying the advertisement's primary funders.
A large proportion of respondents (90%) correctly identified that advertisements typically originate from a third-party, as opposed to the company that owns the site (as demonstrated in our earlier website analysis section).
We also identified 136 advertisements linked to the aim of the study.
Candidates for HP positions will be identified through advertisements, announcements, and organization meetings targeting these contacts.
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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