Abstract: Event streams of terminals for a given interval of time are preprocessed to label event types and label predefined time-based or sequence-based patterns associated with terminal power supply unit (PSU) failures. The labeled event streams are provided as input to a trained machine-learning model (MLM), which outputs a score for each terminal representing a likelihood that the corresponding terminal is or is not going to experience a PSU failure. In an embodiment, each score is compared against one or more threshold values and each terminal is classified as low risk, medium risk, or high risk of a PSU failure. In an embodiment, the scores and/or the classifications for the terminals are reported to an enterprise associated with the terminals at predefined intervals of time.

Abstract: A method can include, for a predetermined route, automatically processing a first set of machine instructions to create a visual travel guide for the predetermined route, the visual travel guide comprising a second set of machine instructions adapted to cause an information device to render: an identification of a destination of the predetermined route; a plurality of videos, each video corresponding to a road intersection located approximately on the predetermined route, each video adapted to substantially reproduce a view of a driver of an automobile approaching the road intersection; a plurality of textual descriptions associated with the plurality of videos; at least one of an identification of an origin of the predetermined route and an identification of an approach to the destination; and an advertisement associated with at least a portion of the predetermined route.

Abstract: A method can include, for a predetermined route, automatically processing a first set of machine instructions to create a visual travel guide for the predetermined route, the visual travel guide comprising a second set of machine instructions adapted to cause an information device to render: an identification of a destination of the predetermined route; a plurality of videos, each video corresponding to a road intersection located approximately on the predetermined route, each video adapted to substantially reproduce a view of a driver of an automobile approaching the road intersection; a plurality of textual descriptions associated with the plurality of videos; at least one of an identification of an origin of the predetermined route and an identification of an approach to the destination; and an advertisement associated with at least a portion of the predetermined route.