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This includes work that uses news media articles to detect international tensions [21] or analyzes Twitter messages to detect mood changes [22].
Moreover, both methods require each node to receive a sufficiently large number of messages to detect outliers, thus the accuracy improvement comes at a substantial energy cost.
As a proof-of-concept, we use the proposed framework to model and compare four prominent ad hoc routing protocols: DSDV, DSR, AODV-LL (AODV-LL is a variant of AODV protocol [4] proposed in [8] that uses link-layer feedback to avoid the use of HELLO messages to detect link failures), and Gossiping.
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We believe that this is sufficient to prove the effectiveness of our strategy because we use the HANDOVER message to detect the train arrival in the detection part of our power-saving strategy.
A type of antitampering code can also be attached to a message to detect corruption.
"This is very important as we drive home our message to detect cancer early, get treatment and see more people continuing to survive this disease".
This identifier is part of the soft state saved in each node's message log to detect duplicate messages (line 5 of Algorithm 1).
The addition of unique identifiers inside encrypted messages makes it possible to detect duplicated messages, and therefore, replay attacks.
One recent research program tried to use machine learning to sift through millions of video clips and internet messages in Yemen to detect cease-fire violations; if the machine does find something, it has to be able to describe what's worth paying attention to.
These messages are used to detect new links and link breaks, to inform neighboring nodes about the mode the sending node is currently in and about the modes supported by this node and optionally, to distribute information about the network conditions.
Such truncated messages are difficult to detect in tmRNA+ cells, but are stabilized in cells lacking tmRNA (ΔtmRNA).
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