Abstract: Embodiments of this application provide a method for determining a service experience model and a communication apparatus. The method includes: A data analysis network element obtains first association information corresponding to a first dataset and obtains a second dataset based on the first association information. The data analysis network element determines a fourth dataset based on first information and the second dataset, where the fourth dataset is a subset or all of the second dataset, and the first information includes capability information of the first device and/or capability information of the data analysis network element. The data analysis network element determines a service experience model of the service based on the fourth dataset. The data analysis network element does not need to obtain data of the service of the terminal device on the first device.

Abstract: A method includes obtaining a first multi-access edge computing (MEC) access point to be accessed by terminals in a terminal group of a first service. The first MEC access point is obtained based on network topology information of MEC access points that are respectively closest to the terminals and that support the first service. The network topology information indicates at least one of whether at least two MEC access points are connected or performance of a link between at least two MEC access points. The terminal group includes one or more of a terminal requesting the first service or a terminal subscribing to the first service. The method also includes sending an identifier of the first MEC access point to a session management network element that controls the terminals. The identifier of the first MEC access point is used by the terminals to access the first MEC access point.

Abstract: A session management method, an access management function device, and a session management device, where the method is carried out by an access and mobility management network element and includes: obtaining first subscription data of a terminal in a first communications network and second subscription data of the terminal in a second communications network, where the first subscription data includes a data network name (DNN), and the second subscription data includes an access point name (APN) corresponding to the DNN; allocating a bearer identifier to a bearer in a packet data network (PDN) connection corresponding to the APN; receiving a flow identifier that is of a flow in a protocol data unit (PDU) session corresponding to the DNN and that is sent by a session management network element; and sending the bearer identifier and the flow identifier to the terminal.

Abstract: The disclosure relates to systems and methods for magnetic resonance imaging (MRI). A method may include obtaining k-space data associated with MR signals acquired by an MR scanner. The k-space data may corresponding to a first sampling rate. The method may also include generating one or more estimated images based on the k-space data and a target neural network model. The one or more estimated images may correspond to a second sampling rate that exceeds the first sampling rate. The method may further include determining one or more target images based on the one or more estimated images and the k-space data using a compressed sensing model. The compressed sensing model may be constructed based on the one or more estimated images.

Abstract: The present disclosure relates to slice information processing methods. One example method includes sending, by a management and control function network element, a first request to a data analytics function network element, where the first request requests first information of a slice network including at least one slice, and the first request includes identity information of the at least one slice, and receiving, by the management and control function network element, a first response from the data analytics function network element, where the first response includes the first information, and the first information is used for at least one of user control or application control of each slice of the at least one slice.

Abstract: A communication method and apparatus. A first network device obtains first information from a second network device. The first network device obtains second information from a third network device. The first network device determines first experience information of a service of the terminal based on the first information and the second information. The first network device sends the first experience information to a fourth network device, where the first experience information is for determining a parameter that is of the service of the terminal and that is on the fourth network device.

Abstract: A model distillation training method provides for establishment of a distillation training communication connection with a second device prior to performing distillation training on a neural network model. Based on exchange of distillation training information between the first device and the second device, the second device configures a first reference neural network model by using first configuration information sent by the first device. After configuring the first reference neural network model, the second device performs operation processing on first sample data in first data information based on the configured first reference neural network model by using the first data information to obtain first indication information, and sends the first indication information to the first device. The first device trains, by using the first indication information, a first neural network model designed by the first device.

Abstract: This application provides a policy determining method. The method includes: A first network element obtains first analytics information from a data analytics network element, where the first analytics information includes at least one of the following information: radio access type (RAT) related information or access frequency related information, and service experience analytics information corresponding to a RAT or an access frequency; and the first network element determines an access information selection policy of a terminal device based on the first analytics information, where the access information selection policy includes a target RAT or a target access frequency corresponding to the terminal device. The data analytics network element generates analytics information based on obtained network data and service data, and provides the analytics information for a network function network element.

Abstract: A method includes obtaining a first service experience data set of a service, where each piece of first service experience data in the first service experience data set indicates service quality of all users or a plurality of users in a network, wherein the service is executed by the users, and the service is run in the network, obtaining information about a first service quality requirement of the service, where the information about the first service quality requirement indicates a requirement on the first service experience data, and determining a second network data set of the network based on the first service experience data set, a first network data set of the network, and the information about the first service quality requirement.

Abstract: A first entity for a communication network is provided. The first entity is configured to receive a feature mapping indication from a second entity of the communication network. The feature mapping indication comprises characteristics of a relationship between a set of data samples and properties of data in the data samples of the set of data samples for an analytics model at an analytics stage, wherein the feature mapping indication comprises a request for a feature mapping data structure. The feature mapping data structure includes a second set of data samples based on the relationship between the set of data samples and the properties of the data in the data samples of the set of data samples for use with the analytics model at the analytics stage for an analytics consumer.

Abstract: This application discloses a data analysis method and an apparatus. The method includes: A data analysis network element sends a first request message to a security network element, where the first request message is used to request to perform security detection on first data, and the first data is data for which the data analysis network element performs data analysis on a specified data analysis type. The data analysis network element generates or updates, based on a security detection result, a data analysis result corresponding to the data analysis type. According to the method in this application, the security network element may perform security detection on the first data, and separate abnormal data from the first data, so that the data analysis network element can establish a model based on data other than the abnormal data, to improve accuracy of the model and improve accuracy of the data analysis result.

Abstract: Embodiments of this application provide a communication method, apparatus. One example method includes: a first data analytics network element receive a first request from a sec data analytics network element, wherein the first request carries an analytics type identifier and second model requirement information, and the first request requests information of a model that corresponds to the analytics type identifier and meets the second model requirement information. The second data analytics network element receives the information of the model from the first data analytics network element.

Abstract: A packet transmission method, including receiving, by a session management function network element, first access network tunnel information and second access network tunnel information that correspond to a first service, and sending a downlink forwarding rule to a user plane function network element, where the downlink forwarding rule includes the first access network tunnel information and the second access network tunnel information, and the downlink forwarding rule indicates the user plane function network element to replicate a received downlink packet of the first service, and send downlink packets of the first service through two paths respectively corresponding to the first access network tunnel information and the second access network tunnel information.

Abstract: The present disclosure is related to systems and methods for image processing. The method includes obtaining an original image. The original image includes at least one blood vessel region and at least one scalp region. The method includes determining an intermediate image by removing the at least one scalp region from the original image. The method includes generating at least one target image by performing a maximum intensity projection operation on the intermediate image. The at least one target image represents the at least one blood vessel region in the original image.

Abstract: A communication method, a communication apparatus, and system are disclosed. The method includes a data analytics network element (NWDAF) sends a first request to a storage function network element. The first request includes delay information and/or indication information. The indication information indicates that the NWDAF supports analyzing data within a specified delay. The first request is used to store the delay information and/or the indication information into the storage function network element. The data analytics network element receives a first response from the storage function network element. The first response indicates, to the data analytics network element, that the delay information and/or the indication information are/is successfully stored.

Abstract: The present disclosure relates to communication methods and communication apparatuses. In one example method, a first data analytics network element receives first information of an application from a first network element, where the first information includes at least one of first application description information or an application status that correspond/corresponds to the application. The first application description information includes an application identifier and first IP information that correspond to the application, and the application status includes a foreground state or a background state of the application. The first data analytics network element determines second information based on the first information. The first data analytics network element sends the second information to a second network element.

Abstract: The present disclosure discloses a calibration method and system for medical imaging. The calibration method comprising: obtaining imaging data; dividing the imaging data into a plurality of patches; and calibrating the imaging data based on one or more target patches of the plurality of patches, wherein the one or more target patches is a part of the plurality of patches.

Abstract: Embodiments of this application disclose a communication method, device, and system. A first network element sends a first request to a second network element, where the first request is for requesting authorization information of user-related data, the first request includes user information and a first use scope of the user-related data, and the first use scope includes at least one of the following information: a first use object, a first use purpose, or first use time. The first network element receives a first response sent by the second network element, where the first response includes authorization information, and the authorization information indicates whether a user corresponding to the user information allows the related data to be used for the first use scope.

Abstract: The present disclosure provides a system. The system may include a medical device, a couch, one or more imaging devices, and a control device. The medical device may include a cavity. The couch may be configured to support a subject. The one or more imaging devices may be configured to acquire image data. The image data may indicate at least one of a target portion of the subject or posture information of a user. The control device may be configured to control a movement of the couch based on at least one of position information of the target portion of the subject or the posture information of the user.

Abstract: A method and apparatus for obtaining service data are used to implement obtaining service data by a data analysis network element. In the method, the data analysis network element obtains service data from a service network element, to perform big data analysis on the obtained service data, thereby implementing differentiated service assurance.