12results about How to "Solve technical problems with low accuracy" patented technology

The application discloses a data processing method and device, a storage medium and an electronic device. It relates to the technical field of medical treatment. The method comprises the following steps: a tibia three-dimensional model is constructed, and a plurality of target steel nail three-dimensional models are obtained; a plurality of second medical images are obtained, and a plurality of target steel nail first two-dimensional pixel point sets and a tibia second two-dimensional pixel point set are obtained according to the plurality of second medical images; target space conversion parameters of the plurality of target steel nails in the tibia coordinates are obtained by calculation according to the target steel nail first two-dimensional pixel point sets, the tibia second two-dimensional pixel point set, the tibia three-dimensional model and the steel nail three-dimensional models; a guide plate model is obtained according to the target space conversion parameters, and a target space posture of a tibia osteotomy plane is obtained according to the guide plate model. Through the application, the technical problem that the space posture of the tibia osteotomy plane is relatively low in accuracy because the space posture of the tibia osteotomy plane is determined by relying on artificial experience is solved.

The invention discloses a data processing method and device, a storage medium and electronic equipment. The method comprises the following steps: constructing a tibia three-dimensional model, and obtaining a steel nail three-dimensional model of a plurality of target steel nails; obtaining a plurality of orthogonal second medical images, and obtaining a first two-dimensional pixel point set of the plurality of target steel nails and a second two-dimensional pixel point set of the tibia according to the plurality of second medical images; calculating according to the first two-dimensional pixel point set, the second two-dimensional pixel point set, the tibia three-dimensional model and the steel nail three-dimensional model to obtain target space conversion parameters of the multiple target steel nails under the tibia coordinates; and obtaining a guide plate model according to the target space conversion parameters, and obtaining a target space attitude of the tibia osteotomy plane according to the guide plate model. By means of the method and device, the technical problem that the accuracy of the space posture of the tibia osteotomy plane is low due to the fact that the space posture of the tibia osteotomy plane is determined through related technologies depending on artificial experience is solved.

This application discloses a product recommendation method, apparatus, storage medium, and electronic device. Relating to fintech or other related fields, the method includes: acquiring N first financial products associated with a target user; for each first financial product, determining the influence of the first financial product based on a target heterogeneous information network, wherein the target heterogeneous information network includes at least the following types of nodes: user type, product type, and edges between nodes to represent the association relationships between nodes; calculating the similarity between the first financial product and each second financial product based on the target heterogeneous information network; and based on the influence of the N first financial products and the similarity between the N first financial products and each second financial product, determining a target financial product from the second financial products and recommending the target financial product to the target user. This application solves the problem of low accuracy in product recommendations in related technologies.

This invention provides a price monitoring method, apparatus, and electronic device based on fine-tuning of a large language model, relating to the field of large language model optimization. The method acquires a task dataset and a large language model to be fine-tuned. The target tasks corresponding to the task dataset include mathematical reasoning and natural language understanding tasks. The task dataset is split into two training subsets according to a specified ratio. The model weights and guided selection vectors are alternately updated using the two training subsets, and the guided selection vectors are trained using a two-stage optimization algorithm to obtain optimized guided selection vectors. Based on the optimized guided selection vectors, the number of experts and the expert rank of each LoRA-MoE layer are dynamically allocated to obtain the allocated number of experts and expert rank. The large language model is fine-tuned using the allocated number of experts and expert rank to obtain a fine-tuned model adapted to the target task. The fine-tuned model is then used to perform price monitoring by executing the target task to obtain price monitoring results.

The utility model discloses a magnetism-driving bacterial superfluid viscosity measuring device, relates to the technical field of fluid viscosity measurement, and is used for solving the technical problem of low accuracy of a bacterial superfluid viscosity measuring result in the prior art. The superfluid viscosity measuring device comprises a base, a single-shaft air bearing table, a container barrel, a rotating assembly, a torsional rigidity connecting piece and a spectrum confocal sensor assembly, wherein the single-shaft air floating table is arranged on the base, and the container barrel is arranged on the single-shaft air floating table through the bottom surface; the rotating assembly is arranged at the top of the container barrel through a support arranged on the base, and any rotating part of the rotating assembly extends to the interior of a first annular barrel body of the container barrel from the top of the container barrel; the torsional rigidity connecting piece is arranged in the single-shaft air bearing table with the hollow structure, one end is connected with the base, and the other end is connected with the bottom surface of the container cylinder; the spectral confocal sensor assemblies are symmetrically arranged on the outer surface of the container cylinder along the central axis of the container cylinder.

The application discloses an error positioning method and device, a storage medium and a processor. The method comprises the following steps: obtaining a to-be-detected algorithm; performing program segmentation on the to-be-detected algorithm to obtain a program segmentation result, wherein the program segmentation result is obtained based on different functions of a plurality of algorithm modules in the to-be-detected algorithm; testing the program segmentation result based on a test sample set to obtain a target test matrix; and inputting the target test matrix into a neural network model to obtain an error positioning result. The application solves the technical problem of low accuracy of the existing error positioning method.

The invention discloses an information processing method and device, a storage medium and electronic equipment. The method relates to the technical field of financial science and technology, and comprises the steps that a target portrait of a target object is acquired, and the target portrait is constructed at least based on historical code data output by the target object; performing knowledge point matching with a knowledge mapping model according to the target portrait and the code defect to obtain matched knowledge information; according to the matched knowledge information, a learning path card is generated, the learning path card is pushed to the target object, and the learning path card at least comprises a recommended knowledge resource link and predicted learning duration. Through the resource recommendation method and device, the problem that the accuracy of resource recommendation is low due to the fact that learning resources are recommended according to posts of developers in the prior art is solved.

The application discloses a kind of based on multi-source data's wind farm key meteorological factor prediction method and system, it is related to intelligent data processing technical field, the method includes: connecting meteorological platform obtains historical wind farm meteorological factor data, carries out multidimensional data source analysis, determines A data source, B meteorological characteristic element;B meteorological characteristic element, A data source are input into meteorological characteristic prediction model and obtain wind farm meteorological characteristic information, identification is carried out in combination with historical wind farm meteorological data to multilevel meteorological factor response interval, generate multilevel meteorological factor sensitive index, then in combination with the meteorological factor prediction data collected, the key meteorological factor of target wind farm is forecasted.The application solves the technical problem that the accuracy of the prediction result caused by the single data source of wind farm weather forecast in the prior art is low, realizes the technical effect of improving the accuracy of wind farm key meteorological factor prediction result.

The invention discloses a data processing method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring a material set, and dividing materials in the material set into a first type of materials and a second type of materials; performing attribution analysis on the first type of materials and the second type of materials through the target model to obtain an initial analysis result, the initial analysis result at least comprising feature tags of differences between the first type of materials and the second type of materials; analyzing and verifying according to the initial analysis result to obtain a verification result, and generating a target analysis result corresponding to the material set according to the verification result and the initial analysis result, the target analysis result being used for providing a reference for generating the target material. According to the method and the device, the technical problem of relatively low accuracy of an analysis result caused by incomprehensive material analysis in related technologies is solved.

Embodiments of the present application provide a load weight determination method and device, a storage medium and an electronic device. The method comprises: controlling a scissor mechanism of an automated guided vehicle to perform a first lifting operation; obtaining N pairs of displacement amounts in the process of performing the first lifting operation, and determining a target curve based on the N pairs of displacement amounts, wherein the N pairs of displacement amounts represent horizontal displacement amounts of a lead screw and vertical displacement amounts of a tray collected at N time points, and the target curve represents a change relationship between the horizontal displacement amounts of the lead screw and the vertical displacement amounts of the tray; and determining a weight of a target load according to the target curve and a preset M curves, wherein the M curves represent different change relationships between the horizontal displacement amounts of the lead screw and the vertical displacement amounts of the tray in the process of the scissor mechanism performing the first lifting operation when the tray respectively carries M loads with known weights. Through the present application, the technical problem of low accuracy in determining the weight of the load in the related art is solved.

This application discloses a method, apparatus, and electronic device for acquiring motion information. Relating to the field of artificial intelligence, the method includes: querying M source documents in a database and generating N query statements based on the requirements for acquiring target motion information; performing query operations on the M source documents using each query statement to obtain a set of N source documents; performing tag matching operations on each source document in the N source document sets to obtain tag matching results, and performing document filtering operations on the N source document sets based on the tag matching results to obtain P target documents; splitting the P target documents according to the document structure of each target document to obtain multiple text blocks, and identifying the multiple text blocks as motion information of the target motion. This application solves the problem of low accuracy in determining motion information based on knowledge documents, literature, and other information collected from the internet in related technologies.

The invention discloses a passenger identification method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring identity identification information of a target object; according to the identity identification information, passenger travel information of the target object is acquired; according to the passenger travel information, the travel type of the target object is identified, an identification result is obtained, and if the identification result represents that the travel type of the target object is a transfer travel, corresponding transfer service is provided for the target object. Through the method and the device, the problem of relatively low accuracy of identification of the transit passengers in related technologies is solved.