Abstract: A device may receive a merchant query including first merchant data associated with a first merchant. The first merchant data may be provided, as input, to a merchant matching model associated with a merchant data structure, the merchant matching model having been trained to determine a measure of confidence that input merchant data corresponds to an existing merchant in the merchant data structure. The device may receive, as output from the merchant matching model, a measure of confidence that the first merchant data corresponds to a second merchant, the second merchant being associated with second merchant data stored in the merchant data structure. The device may also determine, based on the measure of confidence, that the first merchant corresponds to the second merchant. Based on the determination, the device may obtain the second merchant data from the merchant data structure and perform an action based on the second merchant data.

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: Various systems and methods for cellular network slice management are presented. An application may be determined to be authorized to manage a cellular network slice utilized by the application for communication with user equipment. A request can be received from the application to modify the cellular network slice from the application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.

Abstract: Methods and apparatus are provided herein. For example, a method for maintaining a power conversion system can include transmitting, to a computing apparatus in operable communication with the power conversion system, an alert message indicating non-working microinverters and which of the non-working microinverters are under warranty and eligible for replacement; receiving, from the computing apparatus, a request for replacement for the non-working microinverters; and transmitting, to the computing apparatus, an acknowledgment message indicating that the request has been successfully received and replacements for the non-working microinverters are being shipped.

Abstract: Various arrangements for performing intelligent cellular channel management are presented herein. A physical cellular communication channel may be established between a user equipment (UE) and a cellular network for sending a short message service (SMS) message in response to a cellular service request from the UE. A machine learning arrangement can be used to determine a duration of time for which the physical cellular communication channel is to be kept active. A channel maintenance instruction may be transmitted to keep the physical cellular communication channel active based on a cellular network messaging controller making the determination.

Abstract: Various systems and methods for cellular network slice management are presented. An application may be determined to be authorized to manage a cellular network slice utilized by the application for communication with user equipment. A request can be received from the application to modify the cellular network slice from the application. In response to the request, a parameter of the cellular network slice may be modified. The cellular network can then use the modified slice for communication with user equipment for the cloud-based application.

Abstract: Methods for treating moderate-to-severe or severe atopic dermatitis in a pediatric subject are provided. In one aspect, the methods comprise administering to the subject one or more doses of an interleukin-4 receptor (IL-4R) antagonist, such as an anti-IL-4R antibody or antigen-binding fragment thereof.

Abstract: Various arrangements for performing intelligent cellular channel management are presented herein. A physical cellular communication channel may be established between a user equipment (UE) and a cellular network for sending a short message service (SMS) message in response to a cellular service request from the UE. One or more characteristics of the UE, the SMS message, or both may be analyzed. A duration of time for which the physical cellular communication channel is to be kept active may be based on the analyzed one or more characteristics. A channel maintenance instruction may be transmitted to keep the physical cellular communication channel active based on a cellular network messaging controller determining to adjust the duration of time for which the physical cellular communication channel is kept active.

Abstract: In some embodiments, an artificial intelligence system for communicating predicted hours of operation to a client device may be provided. In some embodiments, prediction models may be generated using a randomly selected subset of a training data set comprising: a group of transaction authorizations associated with a merchant group related to the merchant, and a ground truth data set for the merchant group identifying hours of operation of merchants of the merchant group. A request for hours of operations of a merchant may be received from a client device. A set of transaction authorizations associated with the merchant may be obtained, and the prediction models may be used to determine prediction indications for a plurality of time intervals based on the set of transaction authorizations. The prediction indications for the time intervals may be communicated to the client device.

Abstract: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: An artificial intelligence system for communicating predicted hours of operation to a client device. The system may include a processor in communication with a client device and a database; and a storage medium storing instructions.

Abstract: Methods for treating moderate-to-severe atopic dermatitis of the hand and/or foot in a subject are provided. In one aspect, the methods comprise administering to the subject one or more doses of an interleukin-4 receptor (IL-4R) antagonist, such as an anti-IL-4R antibody or antigen-binding fragment thereof.

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: Methods and systems for range testing mock devices using mesh topology are provided herein. For example, a method for range testing mock devices using mesh topology comprises supplying power to a plurality of mock devices corresponding to a plurality of actual devices in an energy management system, adding the plurality of mock devices to a range test list via a first wireless protocol, positioning the plurality of mock devices in a location where the plurality of actual devices will be installed, and triggering a range test via a second wireless protocol different than the first wireless protocol to determine if the plurality of mock devices have communication therebetween.

Abstract: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Abstract: A method and apparatus for estimating capacity of a system including an energy generation system, an energy storage system or both. The method and apparatus initially estimate the system capacity based on a facility location and size. The initial estimate may be adjusted through adjustment of at least one parameter. An updated capacity estimate is generated and displayed.