Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for providing users with electronic retrieval capabilities that are activated upon the users' determined locations respective to real-world locations associated with a message providing entity. The disclosed technology combines the previously separate systems of mail extraction, geo-fencing and content delivery (e.g., notification) into a single system that efficiently manages a user's inbox in order to provide the user with content the user has expressly indicated is of interest to that user. The disclosed systems and methods effectively realize a location-aware mail experience that provides functionality for delivering location (and timing) specific content to a user when the user is actually capable of acting on/interacting with the content in real-time.

An aircraft noise monitoring system uses a set of geographically distributed noise sensors to receive data corresponding to events captured by the noise sensors. Each event corresponds to noise that exceeds a threshold level. For each event, the system will receive a classification of the event as an aircraft noise event or a non-aircraft noise event. It will then use the data corresponding to the events and the received classifications to train a convolutional neural network (CNN) in a classification process. After training, when the system receives a new noise event, it will use the CNN to classify the new noise event as an aircraft noise event or a non-aircraft noise event, and it will generate an output indicating whether the new noise event is an aircraft noise event or a non-aircraft noise event.

An aircraft noise monitoring system uses a set of geographically distributed noise sensors to receive data corresponding to events captured by the noise sensors. Each event corresponds to noise that exceeds a threshold level. For each event, the system will receive a classification of the event as an aircraft noise event or a non-aircraft noise event. It will then use the data corresponding to the events and the received classifications to train a convolutional neural network (CNN) in a classification process. After training, when the system receives a new noise event, it will use the CNN to classify the new noise event as an aircraft noise event or a non-aircraft noise event, and it will generate an output indicating whether the new noise event is an aircraft noise event or a non-aircraft noise event.

A method is disclosed. A data set including: (a) identifiers of a set of incidents occurring within a defined geographic region to which at least one service provider responded during a first time period and (b) address data identifying a location within the geographic region of each said incident of the set is retrieved over a network. An instruction to generate a heat map of the incidents occurring within the geographic region during the first time period is received from a user via a user interface generated to a display device. In response to the instruction to generate the heat map, the address data is converted to GPS data. A heat map of an aerial view of the geographic region based on the GPS data is generated. The heat map is displayed to the display device in a user interface.

In some embodiments, the present disclosure provides for an exemplary computer-implemented system that may include a longitudinal data engine, including: a processor and specialized index generation software to generate: an index data structure for a respective event type associated with each respective subject or object; where each respective index data structure is a respective event type-specific data schema, defining how to store events of a particular event type to form longitudinal data of each respective subject or object; an ontology data structure that is configured to describe one or more properties of a respective event of a respective subject or object; and longitudinal data extraction software to extract a respective longitudinal data for a plurality of index data structures and a plurality of ontology data structures associated with a plurality of subjects or objects.

A method for overcoming intermittent, temporary, or other fetching failures by using multiple attempts for retrieving a content from a web server to a client device is disclosed. The URL fetching may use direct or non-direct fetching schemes, or a combination thereof. The non-direct fetching method may use intermediate devices, such as proxy server, Data-Center proxy server, tunnel devices, or any combination thereof. Upon sensing a failure of a fetching action, the action is repeated using the same or different parameters or attributes, such as by using different intermediate devices, selected based on different parameters or attributes, such as different countries. The repetitions are limited to a pre-defined maximum number or attempts. The fetching attempts may be performed by the client device, by an intermediate device in a non-direct fetching scheme, or a combination thereof. Various fetching schemes may be used sequentially until the content is retrieved.

A method for overcoming intermittent, temporary, or other fetching failures by using multiple attempts for retrieving a content from a web server to a client device is disclosed. The URL fetching may use direct or non-direct fetching schemes, or a combination thereof. The non-direct fetching method may use intermediate devices, such as proxy server, Data-Center proxy server, tunnel devices, or any combination thereof. Upon sensing a failure of a fetching action, the action is repeated using the same or different parameters or attributes, such as by using different intermediate devices, selected based on different parameters or attributes, such as different countries. The repetitions are limited to a pre-defined maximum number or attempts. The fetching attempts may be performed by the client device, by an intermediate device in a non-direct fetching scheme, or a combination thereof. Various fetching schemes may be used sequentially until the content is retrieved.

Systems and methods for providing customer navigation include a system provider device that may receive a query for directions to a first merchant physical location. Responsive to receiving the query, the system provider device determines a first travel time to the first merchant physical location and a second travel time to a second merchant physical location. The system provider device further determines a first wait time at the first merchant physical location and a second wait time at the second merchant physical location. Additionally, the system provider device determines that a first total time using the first travel time and the first wait time is shorter than a second total time using the second travel time and the second wait time. Based on determining that the first total time is shorter than the second total time, the system provider device may provide navigation to the first merchant physical location.

Systems and methods for providing customer navigation include a system provider device that may receive a query for directions to a first merchant physical location. Responsive to receiving the query, the system provider device determines a first travel time to the first merchant physical location and a second travel time to a second merchant physical location. The system provider device further determines a first wait time at the first merchant physical location and a second wait time at the second merchant physical location. Additionally, the system provider device determines that a first total time using the first travel time and the first wait time is shorter than a second total time using the second travel time and the second wait time. Based on determining that the first total time is shorter than the second total time, the system provider device may provide navigation to the first merchant physical location.

The invention relates to a method for generating dynamic information content of a people transport system. The method comprises: receiving an information content request from a terminal device, obtaining status information representing the current status of at least part of the people transport system from a server system, generating a document map comprising references to one or more information content topics based at least on the obtained status information, retrieving the one or more information content topics referred in the document map, generating the dynamic information content based on the retrieved one or more information content topics from the server system, and providing the generated dynamic information content to the terminal device. The invention relates also to a computing unit, a system, and a computer program.