Abstract: Known geospatial device coordinates are clustered using a machine learning-based clustering algorithm into device clusters with cluster centroids. Each device cluster corresponds to a geographical location. Each cluster centroid is annotated with a regional floor-height value of the respective geographical location. Current device data of a device, including latitude, longitude, and elevation, are received, and a geographic location of the device is determined using the latitude and longitude. An approximate current floor upon which the first device is located is determined by mapping the current device data of the first device to a closest cluster centroid, and calculating the approximate current floor using the elevation of the first device and the annotated regional floor-height value of the closest cluster centroid. An individual is directed to the device's geographic location and approximate current floor.

Abstract: Using a location sensor, a location including a latitude and a longitude of a device is determined. Using an air pressure sensor, a first elevation of a device is determined. Using the location, a corresponding street address is determined. Using the street address and the first elevation, a floor number is determined. The street address and the floor number are reported to an emergency response system.

Abstract: Disclosed aspects relate to counter-fraud operation management. A counter-fraud operation may be executed using an initial set of parameter values for a set of parameters of the counter-fraud operation. A set of user counter-fraud activities of a user may be monitored corresponding to a user interface. A set of user feedback data may be captured to determine a feedback-driven set of parameter values for a set of parameters of the counter-fraud operation. The feedback-driven set of parameter values may be determined for the set of parameters of the counter-fraud operation. The counter-fraud operation using the feedback-driven set of parameter values may be executed.

Abstract: An apparatus, for example a primary device, implements a method that includes receiving promoted content for display at the primary device; predicting a user's behavior with respect to the promoted content by estimating the user's context and preferences, using a neural network; and in response to the prediction of the user's behavior, automatically demoting the promoted content.

Abstract: A system and method are provided for predicting a signal strength for a specific location. The method includes operations for predicting mobile device signal strength by building a database of mobile signal information. The mobile signal information includes signal strength for a plurality of mobile devices located at a plurality of three-dimensional, geospatial coordinates and utilizing a plurality of mobile signal providers/carriers. The method predicts, using the database, a signal strength for a particular mobile device at a particular set of three-dimensional, geospatial coordinates utilizing a particular mobile signal provider/carrier and displays the prediction at a specific time.

Abstract: A computer receives a hotspot and a corresponding incentive, where the hotspot is a geolocation for collecting the weather data. The computer presents the received hotspot and the corresponding incentive to a user. The computer receives the weather data from the drone, transmits the weather data to a server, and updates a scorecard with the incentive corresponding to the hotspot based on determining that the drone reached the hotspot.

Abstract: Embodiments for implementing intelligent web navigation by at least a portion of a processor. One or more uniform resource locators (URLs) may be accessed (e.g., opened) according a user history of Internet activities, user preferences, one or more current user activities, calendar data, or a combination thereof. Selected feedback may be gathered (e.g., collected) from the user relating to the one or more URLs according to activities of the user performed on the one or more URLs. The one or more URLs may be classified into one of a plurality of classifications to indicate a degree of relevancy to the user.

Abstract: An approach for notifying a passenger of a route deviation during travel. The approach includes calculating a passenger route deviation from a predicted travel route and comparing the passenger route deviation to a predefined threshold route deviation. The approach further includes providing the passenger a notification of a route deviation if the deviation exceeds a predefined route deviation threshold. In addition, the approach determines if the passenger acknowledged the route deviation notification within a predetermined time period and if the passenger fails to acknowledge the notification, then provides the notification to one or more third parties.

Abstract: A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor of a smart contact lens. Executing the instructions causes the smart contact lens to measure dimensions of a user's eye to determine a focal length of the user, measure a magnetic field proximate to the user's eye to determine a direction of focus of the user, receive a control input from the user, determine a control signal corresponding to the focal length of the user, the direction of focus of the user, and the received control input, generate the determined control signal, and control a first electronic device by transmitting, by the smart contact lens, the generated control signal to the first electronic device.

Abstract: An example operation may include one or more of identifying a request for a service in an enterprise network, responsive to identifying the request for the service, creating a service request message that includes user profile role information for authorization purposes, creating a blockchain transaction based on the service request message, and responsive to creation of the blockchain transaction, determining audit trail information exists based on audit trail requirements stored in a smart contract, and the audit trail information includes user profile authentication information and the user profile role information.

Abstract: An initiation of an emergency communication with an emergency service associated with an emergency telephone number is detected by a mobile communications device. A completion of the emergency communication using a first communication path associated with a mobile communications service provider is attempted. The mobile communication device determines that the emergency communication using the first communication path has failed. An identity of a destination of the failed emergency communication is determined using location and telemetry data from the mobile communication device. A connection of the mobile communications device to the identified destination is facilitated using a second communication path. The mobile communications device is identified to the determined destination as an originator of the connection.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for processing suspect duplicate records in a master data management system. A master data management module identifies two or more suspect duplicate records in the master data management system based on scores. A matching engine classifies the two or more suspect duplicate records, by comparing the scores against threshold values, into one of: a match, a non-match, and a possible match. The master data management module re-classifies the suspect duplicate records and adjusting the threshold values of the matching engine for classification of future records, in response to receiving, by a data stewardship client, a user input indicating an incorrect classification of the suspect duplicate records.

Abstract: A smart lens system may include a hardware processor coupled to a smart contact lens, which may include a microprocessor, an image capturing sensor, and a wireless communication interface. The smart lens system may determine reading factors associated with a user with respect to the user reading content item, based on data related to the user's physiological movements captured by the smart contact lens. The reading factors may include a user's cognitive state determined at least from analyzing data representing the user's physiological movements. Responsive to determining that the user's cognitive state is above a threshold value, the smart lens system may generate an assistive action associated with the content item and transmit a signal to at least one assistive device to perform the assistive action. The assistive device performs the assistive action responsive to receiving the signal.

Abstract: Ontologies are used to comprehend regular expressions, by selecting, based on a context relating to a domain of a regular expression, an ontology and an assertion base, parsing the regular expression to identify at least one fragment of the regular expression, identifying one or more assertions in the assertion base corresponding to one of the identified fragments, identifying, for each identified assertion, an associated node in the ontology, and returning, based on the associated nodes, a concept in the ontology as representing the associated fragment of the regular expression.

Abstract: Metadata of influencer media content from content platforms are analyzed, a potential product is identified, and attributes for the potential product is extracted. Profile data of followers of the influencer is obtained, and the followers are clustered. An influence factor of the influencer is calculated for each cluster. The followers in the clusters are ranked based on interactions with the influencer. A potential media content related to the potential product is identified, and a placement recommendation to a given cluster is provided based on the influence factors for the clusters and on the follower ranks. Potential future trends are identified based on information related the influencer and are thus predictive and forward-looking, instead of reactive and backward-looking. The potential media contents and the strategic placement of the potential media contents leverages the anticipation of a trend due to the activities of the influencer.

Abstract: Metadata of influencer media content from content platforms are analyzed, a potential product is identified, and attributes for the potential product is extracted. Profile data of followers of the influencer is obtained, and the followers are clustered. An influence factor of the influencer is calculated for each cluster. The followers in the clusters are ranked based on interactions with the influencer. A potential media content related to the potential product is identified, and a placement recommendation to a given cluster is provided based on the influence factors for the clusters and on the follower ranks. Potential future trends are identified based on information related the influencer and are thus predictive and forward-looking, instead of reactive and backward-looking. The potential media contents and the strategic placement of the potential media contents leverages the anticipation of a trend due to the activities of the influencer.

Abstract: A method, computer system, and a computer program product for smart validation of suspicious activity reports is provided. The present invention may include receiving a plurality of suspicious activity data from a reporting software. The present invention may also include analyzing the plurality of suspicious activity data using a plurality of analytics, wherein the analysis validates the plurality of stored suspicious activity data using the plurality of analytics. The present invention may then include providing feedback to a user based on the analyzed plurality of suspicious activity.

Abstract: Using a location sensor, a location including a latitude and a longitude of a device is determined. Using an air pressure sensor, a first elevation of a device is determined. Using the location, a corresponding street address is determined. Using the street address and the first elevation, a floor number is determined. The street address and the floor number are reported to an emergency response system.

Abstract: A wind forecasting system configured to generate forecasted wind conditions for a time interval based on wind data derived from flight log data collected from a plurality of aerial vehicles operating in a first area. The forecasted wind conditions can be used by an aerial route management system to generate a flight plan for an aerial vehicle from a start location to an end location in the first area during the time interval.

Abstract: At an emergency response system, a first location including a latitude and a longitude at which a first device is located is received. At an emergency response system, an air pressure reading measured by the first device is received. Using the air pressure reading and a mean sea-level barometric measurement, a first elevation of a device is computed. Using the first location, a corresponding street address is computed. Using the street address and the first elevation, a floor number is computed. The street address and the floor number are transmitted to a second device.