Abstract: A computing system is configured to: (i) create a data science model that is configured to (a) receive a value for a metric that provides insight regarding a party's usage of a software tool of a construction management software application on a construction project and (b) based on an evaluation of the received value for the metric, output a prediction of the party's performance on the construction project and, (ii) after creating the data science model, utilize the data science model to produce a prediction of a given party's performance on a given construction project by inputting a given value for the metric into the data science model and thereby causing the data science model to (a) evaluate the given value of the metric, and (b) based on the evaluation, output the prediction of performance on the given construction project.

Abstract: Some embodiments described in this disclosure are directed to a system for determining a deficit or surplus in green energy for use in an industrial process. In some embodiments, the system is configured to predict future available green energy using weather forecasts. In some embodiments, the system is configured to model power demand for an industrial process and determine whether a green energy source such as solar and/or wind will be able to meet the power demand. In some embodiments, the system is configured to suggest alternate energy sources for purchase to make up for a green energy deficit. In some embodiments, the system is configured to suggest a best time to buy or sell energy to optimize a profit or loss.

Abstract: A computer-implemented method, a computer system and a computer program product customize delivery of transactional documents. The method includes receiving a transactional document associated with a user. The method also includes obtaining a preferred document format for the user and a preferred delivery method for the user from a database. The method further includes identifying a current display format of the transactional document. In addition, the method includes modifying the current display format of the transactional document, wherein a modified transactional document has the preferred document format for the user. Lastly, the method includes transmitting the modified transactional document to the user using the preferred delivery method for the user.

Abstract: Systems and methods for reconciling location based on multiple computing device signals. For example, the computing system can obtain location datasets associated with freight carrier services from computing sources. The computing system can determine an expected signal pattern for a location associated with a freight transportation service. The computing system can determine, for each computing source, a confidence score. The confidence score can represent the probability that the respective location dataset is associated with a load being transported for a freight transportation service. The computing system can determine a primary location dataset based on the confidence scores. The computing system can perform actions based on the primary location dataset.

Abstract: Systems and methods are provided to generate an actual number of search results, a total estimated number of search results based on historical search data in the online marketplace, and a conversion estimated number of search results for users who converted, for a given set of query parameters in an online marketplace.

Abstract: A system for providing frictionless transfer of tickets at a venue comprising: a server system comprising at least one server, a processor, and a database; at least one user device; and at least one unique ticket ID corresponding to a particular seat or ticket; wherein the server performs the following method: accessing the system via the user device and identifying a first ticket corresponding to an event, said first ticket having a unique ticket ID; validating ownership of the first ticket through a confirmation process by validating the unique ticket ID and storing the same within the database; identifying a second ticket for exchange; and confirming the exchange of the first ticket and the second ticket.

Abstract: A computing system for interactive prompting for a supply chain includes processing circuitry that constructs a knowledge graph based ontologies from a plurality of data sources, the ontologies being related to a product. In a turn-based dialog session, the processing circuitry receives a prompt for the product, identifies at least one ontology-level node in a first layer of the knowledge graph, and generates one or more sub-questions. The processing circuitry outputs the sub-questions via a large language model, receives responses to the sub-questions, identifies one or more second-level nodes in a second, middle layer of the knowledge graph based on the responses, and performs a multi-hop query to identify one or more instance-level nodes in the third layer of the knowledge graph. The processing circuitry outputs, via the large language model, text data corresponding to the instance-level nodes as an answer to the prompt.

Abstract: The present disclosure relates to a mobile charging service system and method for an electric vehicle. The mobile charging service system according to an embodiment of the present disclosure for providing a mobile charging service whereby, upon request of a service user to a service provider, the service provider charges an electric vehicle of the user, the mobile charging service system includes: a service terminal configured to receive a request for the mobile charging service and receive location information of the electric vehicle; and a charging service vehicle configured to charge a battery of the electric vehicle in response to a shared key being authenticated by the electric vehicle.

Abstract: Systems and methods are provided for evaluating career interests through situational judgment test format. In embodiments, a career assessment is generated, using a first language based machine learning model and a set of criteria. The career assessment is administered to a user. A plurality of test answers for the user are received based on the career assessment. For a particular test answer a score is assigned for the particular test answer and at least one user career interest category based on the score is determined. The totals for the at least one user career interest category based on the determining is tabulated. At least one career suggestion is provided, using a second language based machine learning model, based on the totals for the at least one user career interest category.

Abstract: A zone assignment system includes a schedule obtainer that obtains usage schedules of users each indicating the intended use of a space by a user; an assigner that assigns each user a zone to use, based on the usage schedules obtained; and an outputter that outputs an assignment result indicating the zone assigned. The assigner assigns a first zone out of the zones to the user, among the users, who has a usage schedule indicating a first intended use as the intended use, and the assigner assigns a second zone out of the zones to the user, among the users, who has a usage schedule indicating a second intended use as the intended use, the second zone being a zone not adjacent to the first zone.

Abstract: A method includes a server computer receiving data relating to a plurality of delivery orders from service providers to end users, and data relating to a plurality of delivery orders from end users to service providers. The server computer determines a plurality of routes corresponding to the plurality of delivery orders. The server computer can then determine a set of optimal route plans by combining delivery order routes. The server computer can then receive acceptances from a plurality of transporters that will execute the set of optimal route plans. The server computer can then facilitate execution of the optimal route plans.

Abstract: In an illustrative embodiment, methods and systems for modeling health care affordability across a population includes segmenting the population by demography and/or geography, determining chronic condition distribution across the population segments, modeling, across the population segments, medical service utilization distribution for a set of medical services, and calculating, using unit costs for each of the set of medical services, utilization costs for each population segment. The methods and systems may include calculating relative affordability metrics based on the utilization costs.

Abstract: Methods and systems for entity assignment to assign an entity of a plurality of entities to a lead resource of at least two lead resources may include receiving a score for each entity of the plurality of entities. The method may further include determining a ranking of the plurality of entities based upon the score for each entity and receiving a distance between each entity of the plurality of entities and each lead resource of the at least two lead resources, wherein the plurality of entities are greater in number than the at least two lead resources. The method may also include applying an optimization algorithm based on the ranking and the distance between each entity and each lead resource and updating the optimization algorithm in real-time until each entity of the plurality of entities is paired to one of the at least two lead resources.

Abstract: Systems and methods are described relating to score generation for an account of a delivery service using one or more neural networks. The one or more neural networks can generate the score using time series data including metrics associated with the account. In response to a time slot being selected by the account from the set of time slots, the score can be used to generate safeguards for the account, where the safeguards are to be applied prior to execution of one or more scheduled deliveries associated with the time slot.

Abstract: Sustainable enterprise-wide energy balancing is presented herein, which describes a series of processes to make choices in favor of a sustainably sourced energy mix, grid reliability, and/or to prioritize critical systems in times of a catastrophe. An example method comprises receiving a group of input data representing a standardized phrase, wherein the group of input data is received from first equipment associated with an electric power generation and transmission operator entity; parsing the standardized phrase to identify an initiating event; in response to identifying the initiating event, determining that an initiating threshold value associated with the initiating event has fallen below a defined risk threshold value; and executing, on remote second equipment, a flow of customer defined processes representing a group of runbooks.

Abstract: A method can include identifying a tracking identifier in a HyperText Transfer Protocol (HTTP) request or response by analyzing the request or the response, storing the tracking identifier, independent of rendered browsing activity, requesting a status of an item associated with the tracking identifier, the status indicating a location of the item, receiving the status, and providing the status for display.

Abstract: An optimization method for turbines of a thermal power unit based on sparse big data mining in the technical field of turbine optimization. The optimization method comprises: acquiring historical operating data of a unit; selecting a set of controllable operating parameters highly correlated with the heat rate of turbines as optimized parameters; constructing a new sparse data-oriented pattern-growth association rule mining algorithm based on binary matrixes and the hyperlink technique; proposing a load balancing strategy based on matrix operation on an Apache Spark platform, and parallelly implementing the global calculation-balanced pattern-growth association rule mining algorithm; and discretizing the historical operating data by clustering, parallelly mining the discretized historical operating data to obtain an association rule, and performing de-discretization to obtain target values of the optimized parameters of the turbines under boundary conditions.

Abstract: An innovative retail checkout system utilizes radio frequency identification (RFID) technology to enhance security and streamline the shopping experience. Customers use RFID stickers linked to their loyalty accounts and attach them to items they wish to buy. Items are then collected by automated pickers, either human or robotic, and are pre-bagged for pickup. At self-checkout terminals, customers review, delete any unwanted items, add any desired new items, and pay for their items. Post-payment, customers receive a receipt or barcode on their phone, granting access to a secure pickup area. Here, customers reshow their code to retrieve their pre-bagged purchases. This system ensures that customers only handle or possess items after payment, significantly reducing theft opportunities. The integration of RFID tags not only secures transactions but also facilitates efficient item tracking and inventory management, enhancing the overall shopping experience and promoting the use of loyalty programs.

Abstract: A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors, cause the one or more processors to perform operations comprising: initiating a return request for one or more items; display on the first electronic device one or more windows of time for a driver to arrive at an address; receiving a selection of at least one of the one or more windows of time for the driver; assigning the driver to pick up the one or more items from the address; causing a second electronic device of the driver to display the address; and receiving one or more acceptance scans for the one or more items from the second electronic device of the driver. Other embodiments are disclosed.

Abstract: A computing system includes a processing circuit having at least one processor coupled to at least one memory device. The processing circuit performs operations including receiving, from a user device during a search session, a first visual output from a first array of visual outputs comprising a first set of configurable parameters; extracting, using a machine learning model, at least one feature of the first visual output based on a characteristic of the first visual output; identifying, using the machine learning model, one or more second visual outputs that share the at least one feature of the first visual output based on a characteristic of each of the one or more second visual outputs; generating a second array of visual outputs comprising the one or more second visual outputs; and displaying, via a user interface of the user device and during the search session, the second array of visual outputs.