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First, we change the medium of interaction between the two users from an infrared one to a visible red beam.
Instagram plans to rely on its machine -learning technology and a mix of signals to determine the order of photos and videos in users' feeds, including the likelihood a person will be interested in the content, the timeliness of the posts and the relationship between the two users.
The average level of overlap between the two users was 92.6%, showing a high level of agreement between the two users.
First, we introduce an intentional half-symbol delay between the two users.
The links in the network were bidirectional and weighted by the number of tweets sent between the two users linked.
We assume there is no direct link between the two users, e.g., building structures prevent signal penetration.
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Significant differences in behavioral responses are found between the two user groups, highlighting the importance of equity treatment in the design of congestion pricing schemes.
The figures show that the advantage, if any, of multi-AP diversity in the BF case depends on the user distributions between the two user sets.
We present an approach that determines the optimal split between the two user groups in terms of revenue and the number of premium subscribers.
We compare our proposed approaches against EPA and IWF by generating the achievable rate region, which shows the trade-off between the two user data rates.
Both [12] and [13] also assume that there is no direct link between the two user terminals, making it impossible to exploit cooperative diversity.
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between the two usages
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