3results about How to "Good scalability" patented technology

This invention discloses an online search method for particle spelling variants and properties usable by intelligent agents. The steps are as follows: inputting the baseline spelling of a particle and the constructed particle-specific prompt words into a large language model to generate a core variant corresponding to the particle; integrating the core variant of each particle with the authoritative benchmark information corresponding to the particle to form a full variant set for each particle; each record in the full variant set contains a unique identifier for a particle, a multi-scene benchmark name, a core variant, and extended attributes; dynamically mapping a remotely callable interface set on the server to a local proxy object on the client; after receiving a query request, the local proxy object parses the particle spelling parameters in the query request and performs multi-dimensional spelling matching in the full variant set to realize online search for particle spelling variants and properties. This invention effectively improves the ability of AI intelligent agents to handle domain-specific tasks.

The invention discloses a short video auxiliary shooting scoring method based on an AI multi-mode model. The short video auxiliary shooting scoring method comprises the following steps: S10, video acquisition; s20, video analysis: performing multi-dimensional fusion analysis on the standardized video data by adopting a vision-audio-semantic multi-modal fusion analysis algorithm to obtain a multi-dimensional fusion analysis result; s30, score generation: according to a multi-dimensional fusion analysis result, calculating by adopting a dynamic weight adaptive algorithm to obtain a comprehensive score of the to-be-analyzed short video; s40, bright spot identification: extracting index data meeting a quantitative excellent standard from a multi-dimensional fusion analysis result, and identifying and summarizing shooting bright spots of the short video by combining content characteristics of the short video; s50, defect identification is carried out; s60, optimization suggestion generation: on the basis of the identified shooting defects, a targeted overall optimization suggestion is generated in combination with the reservation demand of the shooting bright spots; and S70, outputting a result.

The invention discloses an intelligent vital sign monitoring method, system and device based on a transfer learning mechanism and a UWB radar, and relates to the technical field of radar signal processing and medical health monitoring. Learning the basic characteristics of the vital sign signals; and then a small amount of collected real UWB radar data is utilized to carry out fine tuning on the pre-training model, so that knowledge of the pre-training model is migrated and adapted to a current specific scene and a current individual, and the effect of training a large amount of data is achieved by using a small amount of real data. According to the non-contact vital sign monitoring system and method, the defects of real data are complemented by utilizing simulation data, the model is enabled to quickly adapt to a new monitoring environment and a target individual through a transfer learning mechanism, and finally non-contact vital sign monitoring with high precision, high stability and high practicability is achieved.