A vehicle fee charging system and method is disclosed for a vehicle driving from a first point A to a second point B. It (10) comprises a central management system (12) adapted to calculate the fee based on a dataset. It comprises a first unit (50) adapted to record a first information data set (51) based on the vehicle type in question. The first information data set (51) comprises information such as fuel type, category of the vehicle and the authorization of the vehicle. The system (10) further comprises at least one base station/monitoring system (22) collecting second information dataset (52) of the selected route from A to B. The dataset comprises at least the first (51) and the second (52) data information set and said datasets are recorded by the central management system (12) configured to calculate a fee for

An approach is provided in which the approach receives a global trending threat corresponding to an incident occurring in an industry. The approach identifies a set of local Indicators of Concern (IoCs) within an entity that corresponds to the global trending threat, and computes an alert priority based on the set of local IoCs and the global trending threat. The approach adjusts the alert priority based on comparing entity properties of the entity with threat properties of the global trending threat, and dispatches an alert based on the adjusted alert priority.

Method, apparatus, and computer program product are provided for estimating crop pest risk and/or crop disease risk at sub-farm level. In some embodiments, a farm region is determined based on farm definition data, and input data associated with the farm region are retrieved from a plurality of data sources. The input data may include a plurality of pixel sets. In some embodiments, for each pixel set, crop risk data are determined based on the input data using one or more spatiotemporal regression models. The crop risk data may include an estimate of crop pest risk and/or crop disease risk for each pixel set. In some embodiments, the farm region is categorized into a plurality of sub-farms each defining a risk level category for that sub-farm based on the crop risk data. In some embodiments, the sub-farms are displayed as a visual heat-map, along with recommended antidote options.

A computer-implemented method for providing a personalized user interface to a user may include obtaining customer data; obtaining customer article data; obtaining customer interface activity data of the at least one customer; training a prediction model; obtaining at least one of user data, user article data, or user interface activity data of a user of the apparel subscription application; determining a rank of one or more articles based on the prediction model; obtaining environmental data including values of one or more environmental factors associated with user article data; and providing, to the user, the personalized user interface associated with the apparel subscription application to the user based on the rank of the one or more articles and the environmental data.

Examples are described that enable a sales notification application executing on the mobile device to provide an indication of a better price for a product. In the examples, product information may be obtained from product purchase receipts uploaded by mobile devices executing an instance of a sales notification application. Similarities may be determined between the product information received from each product purchase of the plurality of product purchases. The product information from each of the uploaded receipts may be aggregated based on the determined similarity between the product information. A selected product and a location at which the selected product has been purchased previously may be received for comparison to the aggregated information in a product purchase database. A comparison result may be output to the sales notification application. A payment card may be enabled to purchase the selected product.

A system for hierarchical cooperative computing application deployment is provided, comprising a software agent configured to detect a real-time event and determine a context, fetch and/or construct a application model responsive to the determined context, and compile the application model into a vector; a rules engine configured to retrieve the vector from the vector definition service, and evaluate the vector for appropriateness; a parametric evaluator configured to parameterize the vector, and generate at least a run from the parameterized vector; and an optimizer configured to retrieve the run from the parametric evaluator, and determine an optimal plan for executing the application model request.

A data storage system includes a first region, a second region, and a global enumerator. The first region stores a first copy of data. The second region stores a second copy of the data. The global enumerator performs a data control analysis of the data to identify that the first region is a high regulation region and the second region is a low regulation region; in response to making the identification: updates first metadata associated with the first copy of the data to regulate access to the first copy of the data; and updates second metadata associated with the second copy of the data to deregulate access to the second copy of the data.

A location based measurement system monitors user interactions with media items, and visitation data to physical locations, to calculate an engagement score of the media item, wherein the engagement score serves as an indication of a “lift” incited by the media item on a population of users exposed to the media item. The location based measurement system may be or include any instrumentality or aggregate of instrumentalities operable to compute, process, store, display, generate, communicate, or apply various forms of data for geo-fencing, control, or other purposes.

Methods for providing provable access to a distributed ledger with a tokenized instruction set are disclosed. A method may include accessing a distributed ledger including an instruction set, tokenizing the instruction set, interpreting an instruction set access request, and in response to the instruction set access request, providing a provable access to the instruction set.

Techniques are disclosed utilizing cognitive computing to improve commercial communications from vendors to users. A user's financial account(s) and location may be monitored to determine when a user is within a threshold distance of a vendor. If the user is within the threshold distance the methods and systems disclosed may determine which targeted commercial communications to transmit to the user based upon a shopping profile for the user. The shopping profile may include a dataset indicative of the shopping habits of the user.