Abstract: A device may receive alarm data identifying alarms associated with an occurrence of an event, and may identify, from the alarm data, a set of alarms that include false positives. The device may perform feature engineering on the set of alarms to extract features from a feature store and may train a model with the features to generate a trained model. The device may process the alarm data, with the trained model, to determine rules for reducing a quantity of future alarms that include the false positives, and may identify, from the rules for reducing the quantity of future alarms, a set of rules that satisfy a threshold for reducing the quantity of future alarms. The device may perform one or more actions based on the set of rules.

Abstract: A method for paging priority and wireless access which includes receiving, at a base station and from a core network, a paging message associated with a priority connection from a first user equipment device (UE) having an elevated priority status, to a second UE having a non-elevated priority status. The method further includes determining, at the base station, that non-elevated priority wireless access channels are congested, detecting, at the base station, a priority indicator within the received paging message in response to determining that the non-elevated priority wireless access channels are congested. The method further includes caching, at the base station, an identifier of the second UE in response to detecting the priority indicator in the received paging message, and establishing a wireless connection between the first UE and the second UE upon verifying that the identifier of the second UE has been cached.

Abstract: An exemplary method includes an access management system receiving a signed message that is associated with a non-fungible digital asset and that includes a non-fungible digital asset identifier and a nonce. The non-fungible digital asset may be configured to provide access to an access-restricted resource. Based on the non-fungible digital asset identifier included in the signed message, the access management system may access a distributed record that is configured to store ownership information associated with the non-fungible digital asset. Based on the signed message and the ownership information stored in the distributed record, the access management system may verify that a user of the non-fungible digital asset is authorized to access the access-restricted resource.

Abstract: A network address assigned a shared designation by a first client computer is received, in a first data format, automatically, at a host computer from the first client computer. The network address is categorized and published. Publishing the network address includes converting the network address into a second data format, receiving, at the host computer, a subscription request from a second client computer, and sending the network address to the second client computer in response to receiving the subscription request.

Abstract: An interference detection system in a network determines that an unknown radio frequency (RF) interference source that causes RF interference experienced by a first wireless station is a persistent RF interference source over a plurality of time intervals in a selected time period. A predicted interference source location is identified for each time interval in the selected time period. An aggregated predicted interference source location is calculated based on the identified one or more predicted interference source locations.

Abstract: A device may determine traffic information of a user equipment (UE) operating in a first operating mode. The first operating mode may be associated with the UE monitoring a physical downlink control channel (PDCCH), via a first bandwidth part (BWP), according to a first rate. The device may determine, based on the traffic information, that the UE is to operate in a different operating mode including one of: a second operating mode associated with monitoring the PDCCH, via the first BWP, according to a second rate exceeding the first rate, a third operating mode associated with monitoring the PDCCH, via a second BWP less than the first BWP, according to the second rate, or a fourth operating mode associated with monitoring the PDCCH, via the second BWP, according to the first rate. The device may cause the UE to transition to the different operating mode.

Abstract: In the various embodiments, systems and methods are disclosed for determining the location of User Equipment (UE) in a network and for authorizing access to content based on said location. An aspect of the present disclosure is a method including receiving, by a Content Authorization Function (CAF), a request to provide a UE type of a UE and a physical location associated with the UE, the request including a UE Internet Protocol (IP) address associated with the UE; querying, by the CAF, a Network Function (NF), to provide the UE type and associated physical location, the query including the UE IP address; receiving, by the CAF from the NF, the UE type and associated physical location; and transmitting the UE type and associated physical location.

Abstract: A device may receive, from a first user device, a first user device identifier and first privacy settings limiting content to only the first user device, and may receive, from a second user device, second privacy settings limiting content to only the second user device during a particular time period. The device may receive, from a third user device, third privacy settings not limiting content, and may receive, from the first user device, a first request for first content. The device may provide, to the first user device, all or a portion of the first content, and may generate first information that includes a first content recommendation based on the first content and/or a first indication of the portion of the first content. The device may provide the first information only to the first user device based on the first privacy settings and the first user device identifier.

Abstract: A network device may select a first user plane function for establishing, with a user equipment, a protocol data unit session with a single flow and may receive an application function trigger associated with a first new flow for a first application of the user equipment. The network device may cause a first traffic filter to be provided to the user equipment to enable the user equipment to route first application traffic, based on the first traffic filter, to a second user plane function and a first multi-access edge computing device associated with the second user plane function.

Abstract: A device may identify, in multi-context text data, unrelated text and coreference text, and may extract coreference clusters, coreference sentences, and coreference sentiments based on the coreference text. The device may extract unrelated sentences from the unrelated text, and may assign tenses to the coreference sentences and the unrelated sentences. The device may extract phrases and entities from the coreference sentences and unrelated sentences, and may assign tense flags that exclude present tense sentences. The device may select past tense phrases and future tense phrases, and may combine the past tense phrases and the future tense phrases to generate phrases. The device may identify invalid phrases in the phrases, and may identify similarities between the coreference sentences and the invalid phrases. The device may process the coreference text, the coreference tenses, the coreference sentiments, and the similarities, with a reinforcement learning model, to generate final context text.

Abstract: A device may receive a ticket identifier associated with a ticket, a vehicle identifier associated with a vehicle, and video data tracking the vehicle to a parking spot in a parking area. The device may process the video data, with models, to identify the parking spot and a parking spot location, and may associate the ticket identifier, the vehicle identifier, and the parking spot location. The device may receive a starting location of a user device associated with a user of the vehicle, and the ticket identifier based on the user scanning the ticket. The device may determine the parking spot location based on the ticket identifier, and may process the starting location and the parking spot location, with a path model, to calculate a navigation path from the starting location to the parking spot location. The device may provide the navigation path to the user device.

Abstract: A device described herein, such as a User Plane Function (“UPF”) of a core network or some other network element, may receive traffic associated with a first User Equipment (“UE”) and a second UE. The traffic may include a first set of packets associated with the first UE and a second set of packets associated with the second UE. The first and second packets may be received in a first sequence. The device may generate a second sequence by re-sequencing the received traffic based on Quality of Service (“QoS”) parameters associated with the traffic, such as 5G QoS Identifier (“5QI”) values. The device may generate a third sequence by re-sequencing the second sequence based on parameters associated with at least the first UE or the second UE. The device may output at least a portion of the received traffic in accordance with the third sequence.

Abstract: A system described herein may apply an authorized set of traffic parameters, such as network slicing parameters, Quality of Service (“QoS”) parameters, etc. to traffic associated with a particular application, without exposing an identifier of the traffic to one or more network devices of a network that handles the traffic. A client associated with a User Equipment (“UE”) may selectively apply traffic parameters to traffic associated with the particular application further based on whether a UE-side authorization of the particular application for the traffic parameters has been performed. The UE may present a user interface via which a user may select whether to authorize or deny the use of traffic parameters, authorized by the network, for the particular application. If the particular application has been authorized by both the network and the user of the UE, the UE may apply the traffic parameters to traffic associated with the particular application.

Abstract: A device may receive event data identifying events associated with user devices utilizing a video conferencing system, and may utilize the event data to train one or more fraud detection models. The device may receive, from a user device, user traffic including at least one of API traffic or media traffic, and may identify characteristics of the user traffic, such as activity related features, application-specific features, and dial-in number-specific features. The device may process at least one of the activity related features, the application-specific features, or the dial-in number-specific features, with the one or more fraud detection models, to determine whether the user traffic from the user device is anomalous or normal, and may block at least one of an IP address of the user device, a telephone number of the user device, or a meeting of the user device, based on determining that the user traffic is anomalous.

Abstract: An illustrative 3D modeling system accesses 1) a 3D body model bounded by vertices forming an unadorned body (without hair or clothing), and 2) a 2D image depicting an adorned subject (with hair and/or clothing). The set of vertices is configurable to simulate different subjects based on a set of parameters and the adorned subject is outlined in the 2D image by a set of silhouette pixels. The 3D modeling system maps the silhouette pixels to vertices of a particular cross section of the 3D body model using an optimization function configured to even out a distribution of silhouette pixels to vertices. Based on the mapping, the 3D modeling system defines the set of parameters to deform the 3D body model such that the particular cross section conforms to an outline of the adorned subject formed by the set of silhouette pixels. Corresponding methods and systems are also disclosed.

Abstract: A device may receive a selection of a software product and test input data identifying inputs of a test case for the software product. The device may receive the software product based on the selection of the software product and may generate test data for the test case based on the test input data and the software product. The device may process the test data and the software product, with a machine learning model, to generate a test case plan that includes the test data and test steps and may generate test scripts for the test case plan based on the software product. The device may automatically cause the software product to execute the test scripts to generate test results and may perform one or more actions based on the test results.

Abstract: An exemplary method includes a scene annotation system accessing image scan information of a scene captured by an imaging device of a computing device, generating, based on the image scan information, depth data associated with one or more objects in the scene, providing a two-dimensional (2D) annotation grid for concurrent display together with an image of the scene, at least part of the 2D annotation grid mapped to the depth data, receiving a user input (e.g., via hand gesture, touch screen, mouse, and/or keyboard) that selects a portion of the 2D annotation grid and a corresponding position within the scene where a digital object will be anchored based on the depth data, and instructing the computing device to display, by way of a display device of the computing device and based on the user input, the digital object anchored at the corresponding position within the scene.

Abstract: In some implementations, a device may receive file location information identifying a file to be transferred to a user device associated with the first network provider, wherein the file location information identifies a domain name associated with a second network provider. The device may provide, based on the file location information, a request to obtain one or more records associated with the domain name. The device may receive the one or more records based on the request. The device may selectively obtain, based on the one or more records, the file from a first content device associated with the second network provider or from a second content device associated with a third-party provider. The device may provide the file to the user device.

Abstract: Disclosed are systems and methods for a robust Self-Organizing Network (SON) framework that quantifies SON applications' control and management of a network into key performance indicators (KPI) that are leveraged to determine the impact of a SON application's effectiveness in regulating network parameters, which then dictates how the SON application operates. The disclosed framework is configured to receive multiple data streams from existing data sources, determine the performance of a node on a network, and then automatically perform SON operations based therefrom. The disclosed framework can utilize this information to predict additional and/or future opportunities for SON automation on the network, which can be based on an aggregate determination of a net performance gain (NPG) of the SON applications. The framework can leverage the NPG to modify, configure and/or further maintain network operations so as to improve control and management of the network and the applications operating thereon.

Abstract: Systems and methods are provided for transferring state between devices. In one implementation, a gestural input is detected, and a state of a source application is transferred from a first device to a second device in response to the gestural input. The second device may then generate an instance of a target application that corresponds to a representation of the state of the source application received from the first device. In an additional implementation, a state of the target application is transferred from the second device to the first device. The first device then updates a state of the source application to correspond to a representation of the state of the target application received from the second device.