3results about How to "Estimates are accurate" patented technology

The application discloses a fish school biomass estimation method and system based on a multi-modal large model, and relates to the technical field of fish school biomass estimation. The method comprises collecting multi-modal data of a target area, including underwater fish school image data, sonar data and environmental data; based on a multi-modal large model, the multi-modal data is sequentially subjected to preprocessing and feature extraction, cross-modal data fusion, and dynamic target tracking and occlusion completion to obtain target tracking and completion information; the target tracking and completion information refers to information obtained after tracking the fish school and completing the occlusion area of the fish school; and according to the target tracking and completion information, a regression model is used to estimate the fish school biomass to obtain a fish school biomass estimation result. The application can improve the accuracy of fish school biomass estimation.

This invention implements a webpage importance assessment method based on local search using methods in the field of network technology. Step S1: Transform webpages and their links into a graph structure; Step S2: Sample a preset number of random walks on the graph structure; Step S3: Perform a local search on the target node t to obtain the final parameters of the local search; Step S4: Calculate an estimated Page Ranking Score for the target node t based on the terminating node of the random walk sampling in Step S2, the number of samplings, and the final parameters of the local search in Step S3; Step S5: Determine if the estimated value is sufficiently accurate; Step S6: Evaluate the importance of the webpage corresponding to node t based on the estimated Page Ranking Score of the target node t. This solution can assess the importance of a target webpage by performing a local search operation on the Internet, without relying entirely on a global random walk on the Internet for assessment.

This application discloses a method, electronic device, and computer-readable storage medium for monitoring a fuel cell. The method includes: obtaining a first set of variables using a first model based on sensor signals from the fuel cell; the first model being used to predict the degradation state of the electrochemical active area of ​​the fuel cell; obtaining predicted data of the electrochemical active area of ​​the fuel cell based on the first set of variables; obtaining a first voltage value of the fuel cell using a second model based on current data of the fuel cell and the predicted data of the electrochemical active area of ​​the fuel cell; obtaining target data characterizing the degradation state of the electrochemical active area of ​​the fuel cell using a third model based on the difference between the measured voltage value of the fuel cell and the first voltage value; and the third model being used to correct the predicted data of the electrochemical active area of ​​the fuel cell.