Abstract: A computer-implemented method including: creating, by a computer device, a database record for a user in a computer-based immutable ledger; updating, by the computer device, the database record with a beginning amount of fuel when the user rents a vehicle; receiving, by the computer device, fuel purchase information from a fuel dispenser at a filling station; updating, by the computer device, the database record with the fuel purchase information; updating, by the computer device, the database record with an ending amount of fuel when the user returns the vehicle; determining, by the computer device, an amount of overpayment for fuel by the user; and updating, by the computer device, the database record with a credit based on the determined amount of overpayment.

Abstract: A method, a computer program product, and a computer system modify a version of an application. The method includes determining a sentiment being experienced by a second user while using a second version of the application installed on a second device associated with the second user based on sensory information indicative of the sentiment. The method includes generating sentiment associated information associating the sentiment of the second user with the second version of the application, the sentiment associated information configured to be exchanged with the first device over an offline, ad hoc connection. The method includes transmitting the sentiment associated information to the second device. The sentiment associated information is indicative of whether the first version of the application is to be modified on the first device to the second version of the application.

Abstract: Systems and methods are configured to perform machine-learning-based predictive behavioral response. In various embodiments, one or more behavioral monitoring data objects are identified and processed using a behavioral pattern prediction machine learning model to generate a behavioral pattern prediction model. The behavioral pattern prediction model is processed using a risk generation machine learning model to generate a risk model, wherein: (i) the risk generation machine learning model is generated based at least in part by one or more risk factors, and (ii) the risk model comprises a per-risk factor score for each risk factor of the one or more risk factors. The risk model is processed using an adjustment generation machine learning model to generate an adjustment model and one or more prediction-based actions are performed based on the adjustment model.

Abstract: A method, system and computer program product related to delivery of packages to online shopping customers. In an embodiment, the invention provides a method comprising identifying a pool of candidate delivery drivers; analyzing driving patterns of the candidate drivers in a geographic area; analyzing activities of specified online shoppers in the geographic area; and sending a message to contact one of the candidate drivers to deliver a package or packages to an online shopper based on a defined matching of the analyzed driving patterns of the candidate drivers with the analyzed activities of the online shoppers. In an embodiment, each of the candidate drivers has an associated mobile communications device; and the analyzing driving patterns of the candidate drivers includes using specified changes in locations of the mobile communication devices associated with the candidate delivery drivers to identify the driving patterns of the candidate drivers.

Abstract: A method and system for enabling an autonomous vehicle detection process is provided. The method includes detecting a sensor reading, of a sensor integrated with an autonomous vehicle, exceeding a specified threshold value. Additional sensor reading from additional vehicles located within a specified distance of the autonomous vehicle are received and compared to the original sensor reading. In response, a fault condition associated with the sensor is determined and an associated notification is presented to an occupant of the autonomous vehicle.

Abstract: A method and system analyzes the productivity of a person engaged in a task. A computing device receives configuration data from sensors including environmental parameters related to a corresponding productivity score of the person engaged in the task. The environmental parameter data is analyzed to determine any impact on the person's productivity during the task. Changes in the productivity score and corresponding environmental parameters are stored in the computing device, and optimum values are determined.

Abstract: For improving data placement optimization in a computing storage environment, an application layer and/or a user are allowed to attach anticipated usage metadata and directive metadata to a file. The anticipated usage metadata contains a plurality of attributes describing characteristics of the file and the directive metadata contains directives comprising storage instructions for the file. Additionally, a set of metadata is added to the file at a time of creation. The core metadata includes characteristics such as an importance factor as to how essential the anticipated usage metadata and directive metadata should be followed when determining file placement with the computing storage environment.

Abstract: Aspects of the present invention provide an approach that evaluates a locally running image (e.g., such as that for a virtual machine (VM)) and determines if that image could run more efficiently and/or more effectively in an alternate computing environment (e.g., a cloud computing environment). Specifically, embodiments of the present invention evaluate the local (existing/target) image's actual and perceived performance, as well as the anticipated/potential performance if the image were to be migrated to an alternate environment. The anticipated/potential performance can be measured based on another image that is similar to the existing/target image but where that image is running in a different computing environment. Regardless, the system would display a recommendation to the end user if it were determined that the image could perform better in the alternate environment (or vice versa). It is understood that performance is just one illustrative metric for which the system would perform a comparison.

Abstract: Systems and methods are configured for maintaining identifying data of a first user in association with a personal device of the first user; maintaining a rolling recording of medical data generated at the personal device of the first user, wherein the rolling recording encompasses data generated during a defined duration of time; receiving a request to access the medical data from a second device, wherein the request comprises authorization credentials associated with the second device; and upon verification that the authorization credentials are associated with an authorized user, providing, to the second device, access to the rolling recording of medical data generated at the personal device of the first user.

Abstract: There is a need for more effective and efficient health-related predictive data analysis. This need can be addressed by, for example, solutions for performing domain-transferred health-related predictive data analysis. In one example, a method includes identifying an initial risk scoring model, generating a cross-domain mapping of the initial risk scoring model that maps initial risk categories of the initial risk scoring model to inferred risk categories, generating a weighted risk category value for each inferred risk category, generating a health-related risk prediction based on each weighted risk category value, and performing prediction-based actions based on the health-related risk prediction.

Abstract: There is a need for more reliable and efficient performing predictive data analysis to generate optimal testing arrangements. This need can be addressed by, for example, solutions for performing for probabilistic testing optimization.

Abstract: In an approach to calculating, filtering and presenting items, one or more computer processors identify a location of a user. The one or more computer processors determine one or more items that are relevant to the user. The one or more computer processors determine whether the user is within a threshold distance of the one or more items. The one or more computer processors calculate one or more weights for each of the one or more items. The one or more computer processors identify a device to present the one or more items. The one or more computer processors present the one or more weighted items based on the capabilities of the identified device.

Abstract: Various embodiments of the present disclosure facilitate recommendation prediction using machine learning. In one example, an embodiment provides for generating embeddings data related to one or more provider entities, predicting a set of provider entities for a patient entity based on a provider machine learning model, ranking provider entities in the set of provider entities to generate a ranked set of provider entities, and performing one or more actions to provide a recommendation for the patient entity based on the ranked set of provider entities.

Abstract: Methods and systems for presenting a proactive audiovisual query using a virtual assistant software application. The methods correspond to retrieving user experience data associated with a user profile for the virtual assistant software application, wherein the user experience data define one or more user experience events for the user profile. The methods further include retrieving subject matter domain data associated with the one or more user experience events, wherein the subject matter domain data define one or more probabilistic event effects for the one or more user experience events and determining, based on the user experience data and the subject matter domain data, one or more optimal query items, wherein the one or more optimal query items are associated with at least one of the one or more probabilistic event effects. The methods further include generating the proactive audiovisual query in accordance with the one or more optimal query items.

Abstract: Securing an autonomous vehicle against remote interference. Electronic communications are classified and rated according to communication port and package content. Communication ratings are processed to assess risk of remote interference. At-risk communications trigger interference response actions according to pre-defined ratings thresholds.

Abstract: Aspects of the present invention disclose a method for improved directional information. The method includes one or more processors identifying one or more images of a location corresponding to a destination of a set of navigational instructions. The method further includes determining respective ratings for the identified one or more images based on crowd sourced ratings of the identified one or more images from individuals that have previously travelled to the destination. The method further includes determining an entrance location for the destination based on the crowd sourced ratings of the identified one or more images. The method further includes determining at least one image, of the one or more images, that depicts the determined entrance location. The method further includes generating directional information to the entrance location by overlaying directional information on the determined at least one image that provides an indication of the determined entrance location.

Abstract: Managing program updates by connecting a first device and a second device using a local communications protocol. By comparing software versions of the first device and second device and requesting a first version of software of the first device which differs from a second version of the software of the second device. Further by determining the validity of the first version of the software and acting upon the validity of the first version of the software.

Abstract: Certain embodiments provide systems, methods, and computer program products that administer pain management treatments remotely, according to a dynamic prescription. In some embodiments, the dynamic prescription provides for changes in a dosage of a medication or electrical stimulation, based for instance upon changes in the patient's pain tolerance level, biological indicators, or behavioral characteristics. In some embodiments, if it is determined that a dosage change is needed, the dosage change can be compared against the dynamic prescription to determine whether the dosage change is permitted within the scope of the dynamic prescription. In some embodiments, if the dosage change is determined to be outside what is permitted by the scope of the dynamic prescription, the updated dosage information can be provided to the patient's physician for authorization of the updated dosage.

Abstract: Data ownership of a single record data object comprising a plurality of individual data elements may be distributed across a plurality of users, such that each individual user is capable of separately controlling access to those data elements for which the data owner has ownership privileges. These data ownership privileges, and corresponding access rights which may be individually provided by distinct data owners, is managed by a data management computing entity such that a single composite user interface may be generated for a user viewing a particular record data object such that the viewer is provided with viewing access to only those data elements for which the viewer has access. Thus, separate user interfaces may be generated and provided for different viewers accessing the same record data object.

Abstract: A power and frequency regulation meter to which AC power is supplied through an AC power line, including: an AC frequency meter that receives AC power from an AC power line and measures a current AC frequency on the AC power line; an AC power consumption meter that receives AC power from the AC power line and measures a current power consumption on the AC power line over a period of time; an AC power consumption display that receives AC power from the AC power line and displays power consumption; a frequency regulation credits display that displays a frequency regulation credit; and a case that encases the AC frequency meter, the AC power consumption meter, the AC power consumption display, the frequency regulation credits display. A credit or debit is calculated based on a current power consumption, the current AC frequency, and a power consumption moving average.