The phrase "attack event" is correct and usable in written English.
It can be used in contexts related to security, military operations, or any situation where an aggressive action occurs at a specific time.
Example: "The analysis of the attack event revealed several vulnerabilities in our defense system."
Alternatives: "assault incident" or "offensive action".
As a comparison with these directly affected communities, we choose two other cities New York City and London, as members of observer communities for the Paris attack event.
The corner/goal attack event has been trained using seven event shots while goal and other event models are trained using eight and ten event shots, respectively.
Similarly, low-impact events are classified into goal attack or other events using a trained goal attack event model and other event models.
The goal attack event model exhibits high transition probabilities between goal post view and close-up view compared to other event models as the event has the dominance of goal post view and its associated transitions.
Many times, other types of events which happen near goal posts are wrongly classified as goal attack due to the presence of the goal post in many views, so this reduces the precision of the goal attack event and recall of other events.
However, we obtain little less recall in goal and corner/goal attack events.
In [27], the Bayesian belief network has been used for the analysis of goal attack events of soccer videos.
They also proposed to fuse text, time, and view types to extract attack events for tactics classification in soccer videos [44].
It is worth emphasizing that, in this case study, accurately distinguishing 'attack' from 'non-attack' events is equivalent to providing practically-useful early warning for attack events, because the data which serves as input to Algorithm EW reflects online discussions that took place prior to the events under investigation.
Based on this, we systematically study the collective attention during multiple shocking terrorist attack events in 2015 and 2016 and reveal several properties of network structures and temporal dynamics that are consistent across events.
Table 4 shows the number of events (shots) detected in every video and also the number of low- and high-impact events detected after event filtration and event categorization.Every goal event has much more similarity to the other goal events while goal attack events may differ slightly because goal attack can happen from the frontal side of the goal post or from the corner (corner event).
