Abstract: Methods, systems and computer program products for associating geographical locations with annotations corresponding to content. In one method, a language model is developed. The language model is developed from the location information and the one or more annotations associated with content uploaded by users. The language model is based on the probabilistic distribution of locations over one or more annotations. Further, when a user provides one or more annotations, the system and the method may use the language model to identify one or more locations associated with the one or more annotations provided by the user. The language model predicts one or more geographical locations based on the probabilistic distribution of locations over the annotations.

Abstract: Devices, methods, and computer-readable media described herein and provide for sending, by a first wireless station, a suspend message to a wireless station associated with a radio resource control (RRC) session for a dual connectivity (DC) capable user equipment (UE) device that places the DC capable UE device in an RRC inactive mode; storing, by the first wireless station, UE context information from a core network for the DC capable UE device for the RRC session; and evaluating, by the first wireless station, a set of criteria to determine whether to also store the UE context information at the wireless station.

Abstract: A method, a device, and a non-transitory storage medium are described in which a polymorphic algorithm service is provided. The service may coordinate and manage the execution of polymorphic algorithms of various optimization types in a multi-tier network, such as a radio access network or a self-organizing network. The service may coordinate the transition of execution of the polymorphic algorithms among the tiers of the multi-tier network, such that the polymorphic algorithm of a type may be active, for any given node, in a single tier of the multi-tier network. The service may monitor the yield of the optimizations based on various machine learning technologies, polices, and optimization targets. The polymorphic algorithms may operate in different time granularities in correspondence to the tiers of the multi-tier network.

Abstract: A device may receive radio frequency (RF) transmissions from access points provided in a zone, and may calculate channel state information (CSI) for the access points based on the RF transmissions. The device may identify CSI phases that satisfy a phase threshold to eliminate surrounding movement in the zone and to focus on an entry location of the zone, and may perform a short-time Fourier transform of the CSI phases to generate a frequency versus time graph. The device may perform a spectrogram analysis of the frequency versus time graph or may process the frequency versus time graph, with a machine learning model, to determine a quantity of people in the zone and a start and stop times associated with entries and exits of the people to and from the zone. The device may perform actions based on the quantity of people and the start and stop times.

Abstract: In some implementations, a user device may receive a text message and identify a keyword that relates to a future event. The user device may display, based on identifying the keyword, a first user interface that includes the text message and an option to set a reminder. The user device may receive a selection of the option and display a second user interface. The user device may receive a selection of a reminder type and automatically populate the reminder with text of the text message based on the selection of the reminder type. The user device may store the reminder and cause an action to be performed based on the reminder.

Abstract: One or more computing devices, systems, and/or methods for user identification and authorization are provided. In an example, a voice command to perform an action is detected. A voice profile associated with a user is identified based upon voice characteristics of the voice command. In response to determining that the voice profile is not linked to an account associated with the action, the user is prompted for an identifier associated with a device for creating the account through the device. In response to receiving the identifier from the user, the identifier is utilized to facilitate creation of the account through the device.

Abstract: A device may receive a request for an application from a user device, network data for a network provider and a cloud provider associated with the user device, and SLA constraints. The device may calculate a plurality of cost vectors associated with defining a path for the user device to access the application, and may identify a network provider device that provides a first least cost path and satisfies a first threshold. The device may identify, from a plurality of cloud provider devices, a set of cloud provider devices that support the application for the network provider device, and may identify a cloud provider device that provides a second least cost path and satisfies a second threshold. The device may cause the application to be provided from the cloud provider device to the user device, via the network provider device.

Abstract: An improved search engine is disclosed. The search engine receives search queries from client devices and inputs these queries into a first neural network (an action understanding model) that includes an action embedding layer. The action embedding layer can be a word embedding layer constructed using action terms. The action understanding model outputs a filter match associated with a type of filter and, in some scenarios, an action-condition pair. The action-condition pair includes an action associated with the type of filter and a condition comprising an adaptive value associated with the action. Based on the filter and, if present, action-condition pair(s), the embodiments generate a structured query and issue the structured query to a data repository (e.g., database). The search engine then returns a search results page responsive to the search query that includes the results returned by the data repository in response to the structured query.

Abstract: A network device may receive a PDU session create message associated with establishing a PDU session with a user device and via a RAN, and may receive a first 5QI value and a second 5QI value associated with the PDU session. The network device may attempt to establish the PDU session with the first 5QI value and via the RAN, and may receive an indication that the first 5QI value is not supported for establishing the PDU session. The network device may cause the PDU session to be established with the second 5QI value, and via the RAN, based on the indication that the first 5QI value is not supported for establishing the PDU session.

Abstract: A device may receive a certificate, such as an X.509 certificate, that includes authentication information. The authentication information may uniquely identify a customer equipment. The device may authenticate the customer equipment using the authentication information. The device may obtain configuration information, associated with configuring the customer equipment to receive a service, based on authenticating the customer equipment using the authentication information. The device may provide the configuration information to permit the customer equipment to be configured to receive the service. The device may provide the service to the customer equipment based on authenticating the customer equipment.

Abstract: A management system may receive base station information regarding 5G base stations identified by a fixed wireless access (FWA) device. The base station information may identify the 5G base stations and sectors of the 5G base stations. The management system may provide a request for a quantity of devices connected to each of the sectors. The management system may receive device information indicating the quantity of devices connected to each sector of the sectors of the 5G base stations. The management system may determine loads of the 5G base stations based on the device information. The management system may provide load information regarding the loads of the 5G base stations. The load information may be provided to cause a 4G base station to determine the loads of the 5G base stations prior to causing a 5G base station to establish a connection with the FWA device.

Abstract: A device may comprise a first portion and a second portion. The first portion may comprise a plurality of slots configured to receive a plurality of fiber optic cables. Each fiber optic cable may be received in a respective slot of the plurality of slots. The second portion may comprise a plurality of protruding members configured to bend the plurality of fiber optic cables, received in the first portion, to cause the plurality of fiber optic cables to emit light. The second portion may further comprise the light detection unit. The light detection unit may be configured to determine whether light emitted by a fiber optic cable is detected; and provide an indication regarding a port of the plurality of ports based on determining that the light, emitted by the fiber optic cable, is detected. The fiber optic cable may be connected to the port.

Abstract: A network management system may provide, to a base station, a request for base station device information regarding devices connected to the base station. The base station may be identified by a fixed wireless access (FWA) device. The network management system may receive, based on the request, the base station device information from the base station. The base station device information may indicate a quantity of the devices connected to the base station and signal strengths of the devices connected to the base station. The network management system may determine a load of the base station based on the quantity of the devices and the signal strengths of the devices and determine a signal strength threshold associated with the base station based on the load. The network management system may cause a connection to be established between the FWA device and the base station based on the signal strength threshold.

Abstract: A device may receive network data identifying uplink/downlink packet loss percentage, uplink/downlink jitter, uplink/downlink latency, and uplink/downlink packet throughput associated with a slice of a network, and may set an uplink value for each of the uplink packet loss percentage, the uplink jitter, the uplink latency, and the uplink packet throughput. The device may multiply the uplink values by corresponding uplink weights to calculate an uplink cost, and may set a downlink value for each of the downlink packet loss percentage, the downlink jitter, the downlink latency, and the downlink packet throughput. The device may multiply the downlink values by corresponding downlink weights to calculate a downlink cost, and may calculate a total cost based on the uplink cost and the downlink cost. The device may cause another slice, with the same attributes as the slice, to be instantiated when the total cost satisfies a threshold for a time period.

Abstract: Systems and methods described herein provide life cycle management for physical network function (PNFs) via an orchestrator using PNF proxies. A network device in a service provider network receives a software package for a virtual network function (VNF) serving as PNF proxy for a type of PNF. The software package includes a proxy descriptor and external virtual links (VLs) for the type of PNF. The network device associates, an instance of the PNF proxy with an installed PNF, creates the instance of the PNF proxy as a VNF in a cloud platform, and provides a record of the created instance of the PNF proxy to an active inventory system.

Abstract: A platform may receive a first set of address-occupant pairs from a plurality of source devices, wherein the first set of address-occupant pairs comprises identifications of physical addresses and identifications of occupants. The platform may detect an identification of a physical address that is associated with identifications of a plurality of the occupants. The platform may select, for the physical address, one of the identifications of the plurality of occupants to maintain association with the identification of the physical address. The platform may aggregate infrastructure information with the second set of address-occupant pairs, wherein the infrastructure information indicates one or more services available to be provided at one or more of the physical addresses. The platform may perform one or more actions based on identifying the one or more services available to be provided at one or more of the physical addresses.

Abstract: An illustrative injection detection system receives a text statement that includes a set of text elements and implements instructions for performing an operation with respect to a data structure. The system identifies a target risk element count equal to a number of risk elements preapproved to occur within the set of text elements of the text statement. The system also determines a detected risk element count equal to a number of risk elements that occur within the set of text elements of the text statement. If the system detects a violation of a predetermined rule defining an acceptable relationship between the target and detected risk element counts for the text statement, the system triggers an exception condition indicating a risk that the text statement corresponds to an injection attack on the data structure. Corresponding methods and systems are also disclosed.

Abstract: An illustrative image processing system determines that an object depicted in an image is an instance of an object type for which a machine learning model is available to the image processing system. In response to the determining that the object is the instance of the object type, the image processing system obtains pose data generated based on the machine learning model to represent how objects of the object type are capable of being posed. The image processing system generates a volumetric representation of the object in an estimated pose. The estimated pose is estimated independently of depth data for the object based on the image and the pose data. Corresponding methods and systems are also disclosed.

Abstract: A device may determine that a network function of a network is to use a secure communication protocol. The network function may be configured to facilitate communication via the network. The device may identify a component of a resource configuration that is to instantiate the network function. The device may instantiate, using the component, a proxy for the network function. The device may configure the proxy to obtain a certificate that is associated with the secure communication protocol. The device may cause the proxy to use the certificate to communicate with another proxy that is associated with the network function to perform an operation associated with the network function.

Abstract: Systems and methods described herein provide an interface for an Network Data Analytics Function (NWDAF) to extract events from an Edge Application Server Discovery Function (EASDF) for a given network slice. An NWDAF in a core network receives an information request for an Edge Application Server (EAS) discovery service. The NWDAF sends, to an EASDF, a data request based on the information request. The NWDAF receives event data from the EASDF that is responsive to the data request and generates an analytics report based on the event data.