5results about How to "Accurate quantitative evaluation" patented technology

This invention provides a multimodal fusion-based method for correlation analysis of deep-sea environmental data outside the Yangtze River Estuary, belonging to the field of deep-sea environmental analysis technology. This invention achieves accurate data registration by establishing a spatiotemporal standardization model for multi-source data and employing an adaptive spatiotemporal kriging interpolation algorithm. It utilizes a sparse coding marine signal separation algorithm to construct an overcomplete dictionary to separate mixed signals and extract pure features. Based on an attention mechanism, a feature extraction network is constructed to automatically learn deep feature representations of physical, chemical, and biological parameters. A matrix rank deficiency detection algorithm is used to automatically supplement feature compensation vectors to ensure feature integrity. A cross-scale attention mechanism based on wavelet transform is constructed to fuse multi-scale features. A Shapley value interpretability evaluation system is established to quantify the importance of correlated features. This invention solves the technical problem of inaccurate correlated feature extraction during the fusion of multi-source heterogeneous marine environmental data.

The application discloses a power equipment state intelligent early warning system and method based on multi-source data fusion, and the early warning system comprises a data acquisition module, which is used for collecting multi-dimensional operation data of power equipment, including equipment operation parameter data, environment sensing data, image detection data and historical operation and maintenance data; a data fusion module, which receives the multi-dimensional operation data for preprocessing, generates a standardized processing data set, and performs fusion processing on the data set. The application belongs to the technical field of power equipment state monitoring and early warning, can cover full-dimensional data of equipment operation, environment, image and operation and maintenance, eliminates the limitation of a single data source, provides complete and reliable data support for subsequent analysis, is efficient and intelligent in fusion processing, extracts core features of multiple types of data through CNN and LSTM, combines genetic and reinforcement learning to optimize fusion weights, greatly improves the relevance and effectiveness of fused data, and avoids heterogeneous data fusion deviation.

This invention discloses a method, apparatus, device, and storage medium for credit assessment of campus card deduction transactions, relating to the technical field of campus card systems. The method includes: acquiring deduction transaction information data of the user to be assessed; constructing a feature matrix of independent variables with multiple dimensions, whereby the deduction transaction information data includes transaction behavior data and user information data; mapping the original feature values ​​in the feature matrix of independent variables to corresponding WOE values ​​according to a pre-constructed feature mapping rule, wherein the pre-constructed feature mapping rule is obtained after optimal binning of historical sample data based on the DFS binning algorithm; inputting the mapped WOE values ​​into a pre-trained logistic regression model to calculate the user's risk quantification score; and generating risk control instructions based on the comparison result between the risk quantification score and a preset threshold. This application can solve the risk of overdue payments and bad debts under the campus card deduction model, realizing accurate assessment and automated hierarchical management of user credit risk.

This disclosure provides a method and related products for assessing psychological resilience. The method includes: acquiring speech and audio data generated by a target user in response to a multi-topic emotion paradigm task, wherein the multi-topic emotion paradigm task includes multiple pre-set dialogue speech tasks used to assess the target user's psychological resilience. Based on the speech and audio data, a multi-dimensional psychological state representation set for the target user is determined, wherein the multi-dimensional psychological state representation set includes at least one of acoustic features, syntactic features, semantic features, a semantic resilience index, and an affective dimension index based on valence-arousal-dominance. The multi-dimensional psychological state representation set is input into a pre-set psychological resilience regression prediction model, outputting a psychological resilience assessment result for the target user. This disclosure provides a non-invasive, highly ecologically valid, and large-scale screening-applicable digital psychological resilience assessment solution.

This invention belongs to the field of heat pipe technology, specifically relating to a method for controlling and online evaluating the content of non-condensable gases in high-temperature heat pipes. The invention includes the following steps: S1, deep cleaning of materials to eliminate non-condensable gases and other impurities dissolved or adsorbed from the end caps, shell, wick, and filling tube; S2, process cleaning to ensure that no new contaminants are introduced during assembly and welding; S3, heat pipe purification and venting to complete the injection of the working fluid and the final purification and venting within the heat pipe; S4, long-term surface barrier to prevent helium and hydrogen from permeating into the heat pipe. This invention addresses the entire process from materials, manufacturing, filling, and testing, achieving proactive and precise control and quantitative evaluation of non-condensable gas content from three dimensions: source control, process elimination, and online evaluation. This improves the long-term reliability and performance consistency of heat pipes under various complex environments.