Abstract: Disclosed are various embodiments for verifying the presentation of media represented by non-fungible tokens (NFTs). A presentation device can receive a smart contract address and a non-fungible token (NFT) identifier from a client device. The presentation device can then execute a function of a smart contract located at the smart contract address to obtain the owner address for the NFT, wherein the NFT identifier is provided as an argument to the function of the smart contract. Subsequently, the presentation device can validate the owner address for the NFT. Then, in response to validation of the owner address for the NFT, the presentation device can present the media file represented by the NFT.

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of cells that are located within a threshold distance from location(s) in a designated area, for each cell, defining a respective height threshold that is less than a determined minimum supported aerial UE altitude, based on detecting that an aerial UE has transmitted, to a serving cell, a height-based measurement report that includes information regarding neighboring cells, obtaining data regarding height thresholds associated with the neighboring cells, wherein one or more of the neighboring cells is included in the plurality of cells, determining that each of the one or more of the neighboring cells has a height threshold that is less than the determined minimum supported altitude, and performing an action to prevent each of the one or more of the neighboring cells from being a handover target cell for the aerial UE. Other embodiments are disclosed.

Abstract: The technologies described herein are generally directed to providing, based on a paging message, radio resources to facilitate a transition to active mode by idle user equipment in a fifth generation (5G) network or other next generation networks. An example method can include identifying an idle mode activation message. The method can further include, based on the activation message, predicting that the user device is going to request an active connection. Further, the method can include prioritizing allocation of antenna resources to the user device over different user devices in an idle state, based on a prediction that the user device will transition to an active state before the different user devices. Further, the method can include, based on the prioritizing, directing a base station to cause a beamformed signal to a predicted location of the user device to accept the active connection.

Abstract: Aspects of the subject disclosure may include, for example, identifying a plurality of cells that are located within a threshold distance from a planned flight trajectory of an aerial UE, determining, for each cell of the plurality of cells, a height threshold previously defined for that cell, resulting in a plurality of height thresholds, for each of one or more altitudes or one or more altitude time series, estimating a number of handovers or a frequency of handovers that might be triggered for the aerial UE due to height-based handover events along the planned flight trajectory, wherein the estimating is based on the plurality of height thresholds, based on the estimating, selecting a particular altitude or a particular altitude time series for the aerial UE, resulting in a selection, and causing the aerial UE to conduct a flight in accordance with the selection. Other embodiments are disclosed.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing a task. For example, the method includes receiving a triggering event from a client device and generating a processing map. The processing map indicates a processing flow between a plurality of processing instances to execute the task associated with the triggering event. The plurality of processing instances belongs to a topography map specifying a network topography including the plurality of processing instances. For each of the plurality of the processing instances, the method further includes identifying the respective processing instance based on the topography map and outputting the processing map and data associated with the triggering event to the respective processing instance to execute the task.

Abstract: Aspects of the subject disclosure may include, for example, receiving information regarding an aerial UE that is communicatively coupled with a network node, obtaining data associated with the network node that correlates altitude values with signal quality levels and/or probabilities of connectivity disruption, determining a conservative height threshold and an aggressive height threshold for the network node based on the data, wherein the conservative threshold is lower than the aggressive threshold, analyzing the information regarding the aerial UE, based on the analyzing, selecting either the conservative threshold or the aggressive threshold for the network node to use for the aerial UE, resulting in a selected height threshold, wherein the selected height threshold affects a frequency or likelihood of height-based trigger events for the aerial UE, and causing the network node to include the selected threshold in height-based measurement report settings for the aerial UE. Other embodiments are disclosed.

Abstract: A system for instant qualification cross channel offer targeting is disclosed. The system may receive a plurality of personally identifiable information (PII) elements from at least one of a customer device or an affiliate system. The system may determine a credit authorization state in response to the PII element. The system may receive a first request to generate an offer from at least one of the customer device or the affiliate system. The system may generate the offer in response to an offer optimization model, the credit authorization state, and the first request to generate an offer. The system may hash the plurality of PII elements and determine a unique hash based on the plurality of PII elements. The system may associate the unique hash to the offer and store the offer as offer data.

Abstract: A system for automated information support processing is disclosed. The system may receive a natural language information support request from a plain text input channel. The system may determine a first user intent based on the information support request. The system may compare the first user intent with a set of support rules. The system may determine a dispositioned outcome based on the set of support rules and the user intent. The system may return the dispositioned outcome.

Abstract: Systems and methods for motion-enabled transactions are disclosed. The system may allow users to complete transactions with merchants via an air sign input. The system may receive a motion-enabled transaction request comprising an air sign input. The system may determine a stored air sign symbol based on the air sign input. The system may retrieve a merchant identifier, a transaction type, and a transaction cost based on the determined stored air sign symbol. The system may transmit a transaction confirmation comprising the merchant identifier, the transaction type, and the transaction cost. In response to the user confirming the transaction confirmation, the system may authorize and process the transaction.

Abstract: A consumer may enroll in an event gamification system. An event listener may detect an event. The event gamification system may determine that the event qualifies for a game in which the consumer is enrolled. The event gamification system may transmit an achievement notification to the consumer as soon as the event occurs. The game may be displayed in a GUI on a consumer device. The consumer may be rewarded for completing the achievements in the game. Also, a server computer receiving a plurality of data sets that represent visually perceptible elements for a plurality of host web pages, wherein each of the plurality of host web pages displays an active link associated with a product on a merchant web page. The server automatically generating composite web page from: i) the particular data set associated with the particular host web page and the particular set of visually perceptible elements and ii) the related electronic content associated with the product from the merchant web page.

Abstract: At least some embodiments are directed to a prediction system of software objects. The prediction system predicts a first aspect of a user profile utilizing a categorization machine learning model and a user activity profile, the user profile and the user activity profile are associated with a user. The user activity profile comprises a plurality of values associated with demographics and historical activity data of the user. The prediction system predicts a software object associated with the user profile utilizing an optimization machine learning model, the first aspect of the user profile, and a second aspect of the user profile. The software object is optimized with respect to at least one competitive interest between the user associated with the user profile and an entity associated with the software object. The prediction system outputs the software object to a client computing device of the user.

Abstract: Aspects of the subject disclosure may include, for example, obtaining measurements reports of a group of target base stations. Each measurement report includes a target height threshold of a target base station from the group of target base stations. Further embodiments can include receiving a notification that an Unmanned Aerial Vehicle (UAV) communicatively coupled to a serving base station has exceeded a serving height threshold of the serving base station, selecting a first target base station from the group of target base stations based on a first target height threshold of the first target base station, and providing instructions to the serving base station to perform a handover of the UAV from the serving base station to the target base station based on the selection. The serving base station performs the handover of the UAV to the target base station based on the instructions. Other embodiments are disclosed.

Abstract: Systems and methods for secure mobile checkouts are disclosed. The system may include a secure mobile checkout device configured to scan products available in a merchant store. The device may scan the product to determine a product identifier. The device may transmit the scanned product data to a checkout application to retrieve product data corresponding to the product identifier. In device may initiate a transaction with a payment network to purchase the product, based on the product data provided by the checkout application. The payment network may process the transaction, and may authorize the purchase with the merchant.

Abstract: Aspects of the subject disclosure may include, for example, providing instructions to an Unmanned Aerial Vehicle (UAV), via a serving base station, to collect target height thresholds of target base stations. The UAV receives the target height thresholds from the target base stations, and transmits the target height thresholds to a network device, via the serving base station. Further embodiments can include determining a current height of the UAV exceeds a serving height threshold of the serving base station, selecting a first target base station from the target base stations based on the determination and a first target height threshold of the group of target height thresholds of the first target base station, and providing instructions to the serving base station to perform handover of the UAV from the serving base station to the first target base station based on the selection. Other embodiments are disclosed.

Abstract: A single sign-on system using blockchain is disclosed. The single sign-on system may interconnect various organization systems over a peer-to-peer network, with each organization system having a blockchain node and an application programming interface (API). The blockchain node invokes and uses a smart contract to write registration credentials to the blockchain during a registration process. During a login process, the blockchain node invokes the smart contract to determine whether login credentials match stored login credentials in the blockchain. In response to matching login credentials, the API may generate a single sign-on token that can be used by a user device to access one or more organization systems connected over the network.

Abstract: Disclosed are various embodiments for implementing scheduled transactions within a payment network. A computing device first determines that a trigger has occurred for a scheduled transaction for a first payment network. Then, the computing device identifies a network identifier for the recipient and a participant identifier for a recipient of the scheduled transaction. Next, the computing device determines, based at least in part on the network identifier, that the recipient of the scheduled transaction is associated with a second payment network. Subsequently, the computing device generates a payment request representing the scheduled transaction, the payment request comprising the network identifier for the recipient and the participant identifier for the recipient. Then, the computing device forwards the payment request to a global transaction router of a supernetwork.

Abstract: A zero knowledge proof purchase system and process using blockchain is disclosed. The system may comprise a customer device, a merchant system, an issuer system, and a blockchain network having a zero-knowledge proof (ZKP) smart contract. The system may implement a zero-knowledge proof algorithm having a key generator function, a proof function, and a validate function. Each function may be configured to perform various tasks in the system to support and enable zero-knowledge proof purchases.