5results about How to "Reduce analysis" patented technology

The application provides a cell relocation method and device under multiple different objective lenses and application thereof, and comprises the following steps: S000, single-channel image acquisition is performed on a slide under a first set magnification objective lens, and initial screening is performed on target cells in the image to obtain the positions of the target cells; S100, based on the positions of the target cells, the target cells in the image are relocated through advantage feature point matching of a feature descriptor under a second set magnification objective lens which is larger than the first set magnification; and S200, after relocation, multi-channel pictures are acquired under the second set magnification objective lens to analyze the target cells. The application can more accurately and quickly position the target cells.

The application discloses a path planning method and device, electronic equipment and storage medium. The method comprises the following steps: obtaining a to-be-transported task and road network information of a vehicle, and determining a transportation area of the to-be-transported task according to the to-be-transported task and the road network information; inputting the transportation area and the to-be-transported task into a path prediction model to obtain a plurality of predicted paths corresponding to the to-be-transported task and a plurality of confidence degrees of the predicted paths; determining a target predicted path according to the confidence degrees of the predicted paths, and associating the target predicted path with the to-be-transported task and returning to a user end. In the embodiment of the application, the to-be-transported task is analyzed through the road network information, the area of the selected path is reduced, the analysis of the data in the road network information is reduced, and the prediction accuracy is improved; the path corresponding to the to-be-transported task is predicted through the path prediction model, the target predicted path is screened out, the approval time is shortened, the transportation path is automatically determined, and the transportation efficiency is improved.

The invention discloses an interface testing method and device, a storage medium and computer equipment, and relates to the technical field of financial science and technology and the technical field of digital medical treatment. The method comprises the steps of obtaining an interface definition file of a target interface; performing file analysis on the interface definition file, determining interface definition metadata, and performing service semantic analysis on the interface definition file; based on the interface definition metadata and the business semantic analysis result, constructing an inter-service calling topological graph of the target interface, and based on the inter-service calling topological graph, generating an interface test case of the target interface; determining test data generation basis information of the target interface, constructing a test data knowledge graph based on the test data generation basis information, and determining interface test data based on the test data knowledge graph; and generating a test script of the target interface based on the interface test case and the interface test data, and testing the target interface based on the test script.

The present application relates to the field of artificial intelligence and finance, and provides a user behavior prediction method, device, equipment and storage medium. The method screens a target label from a plurality of feature labels obtained, obtains training information and user behavior results of a plurality of training users on the target label, inputs the training information and training text into a plurality of behavior prediction models, obtains the prediction behavior results of the plurality of training users by each behavior prediction model, generates model indicators according to the user behavior results and the prediction behavior results, and screens a target model. In response to a user behavior prediction request, the target model is used to predict and process user information and test text of a test user, and the target behavior result can be accurately obtained. In addition, the present application also relates to blockchain technology, and the target behavior result can be stored in the blockchain.

The application discloses a processing method of precipitation data applied to a flood disaster model in the technical field of data processing and a related device. In the method, original precipitation data is acquired; data integration is performed on the original precipitation data to obtain matrix data including spatial dimensions and time dimensions; data cleaning is performed on the matrix data to obtain to-be-converted precipitation data; and the to-be-converted precipitation data is converted into precipitation data conforming to a normal distribution. The precipitation data conforming to the normal distribution is used for being processed by the flood disaster model. The data quality of the precipitation data obtained after the processing is higher. The precipitation data conforming to the normal distribution can reduce the non-continuity of the rainfall data and the adverse influence of rainless days on the simulation of the flood disaster model, facilitate the analysis and processing of the precipitation data by the flood disaster model, and thus more accurate simulation results of the flood disaster model are obtained, and the simulation accuracy of the flood disaster is improved.