Abstract: In various examples, description data may be used by an engine to correlate a subset of alarms representing a network incident. A machine learning model may then be used to predict a likelihood that one or more of the alarms within the subset is a root cause of the network incident. This root cause may then be displayed on a graphical user interface. As a result, alarm fatigue experienced by network administrators may be reduced.

Abstract: In various examples, description data may be used by an engine to correlate a subset of alarms representing a network incident. A machine learning model may then be used to predict a likelihood that one or more of the alarms within the subset is a root cause of the network incident. This root cause may then be displayed on a graphical user interface. As a result, alarm fatigue experienced by network administrators may be reduced.

Abstract: A method implemented in a smartphone associated with a transportation apparatus to detect a crash of the transportation apparatus, comprises receiving a signal generated in time domain by a sensor of the smartphone in response to an event triggered by motion of the smartphone. The method further comprises transforming the signal to a delay domain to generate a two-dimensional representation of the signal in the delay domain. The method further comprises processing the two-dimensional representation using a Hough transform to select lines from the two-dimensional representation having a parameter greater than or equal to a predetermined threshold. The method further comprises determining a pattern associated with the selected lines, comparing the pattern to a predetermined pattern indicating crash event of the transportation apparatus, and determining based on the comparison whether the event indicates crash event of the transportation apparatus.

Abstract: Various embodiments include a method and system for queuing messages for transmission to/from a vehicle. One or more messages from one or more applications for performing one or more vehicle-related events may be received. The one or more messages may include a message identifier for each of the one or more vehicle applications to correlate the one or more messages with the one or more applications. The messages may be queued for transmission. A vehicle's connectivity to a wireless network is determined and, if the vehicle is connected to the wireless network, the one or more queued messages are transmitted. The one or more vehicle-related events based on the one or more messages are performed.