7results about How to "Increase adoption" patented technology

The invention provides a multi-parameter water quality data fusion analysis method and system. The method comprises the steps that water quality parameters are collected to form a three-dimensional data cube; constructing a space-time tensor model by using Tucker decomposition and a graph convolution network, and generating a core tensor matrix; constructing a dynamic constraint library and embedding the generative adversarial network; training a generative adversarial network by using Transform and physical constraint loss, generating synthetic data and verifying the synthetic data; performing space-time fusion by using meta learning weight distribution and Bayesian deep learning to generate a weight matrix and a confidence interval; missing data are restored through physical constraint interpolation and Gaussian process regression, and SHAP and LIME interpretation and path diagrams are generated; and performing real-time analysis by using an edge-cloud collaborative architecture to generate an intelligent report. Through physical constraint modeling, dynamic weight distribution and edge-cloud collaborative architecture, the problems that synthetic data violates physical laws, weight staticization, response lag and insufficient interpretability are solved.

This invention discloses a risk management system and method for chronic disease comorbidity in the elderly based on interpretable machine learning. It includes: a data acquisition module for acquiring health-related information of the target user; a feature construction module for processing and fusing the health-related information into a structured multidimensional feature vector; a risk assessment module internally deploying a pre-trained machine learning model to output a chronic disease comorbidity risk score for the target user based on the multidimensional feature vector; an interpretability analysis module analyzing the output of the machine learning model to generate interpretable results representing the key driving factors influencing the risk assessment results and their contribution; and a personalized recommendation module, based on the risk score and key driving factors, querying a pre-set rule knowledge base to generate and output a set of personalized health management recommendations for the target user. This invention integrates scale data, clinical indicators, and comorbidity structure into a model to form an interpretable risk score, meeting the needs for comprehensiveness, accuracy, and feasibility in chronic disease comorbidity management in the elderly.

The invention discloses a fresh flower collocation method based on big data. The method comprises a data acquisition module, a data analysis module, a collocation generation module, a user interaction module, a scheme display module and a data storage module. The data acquisition module is electrically connected with the data storage module, the data storage module is electrically connected with the matching generation module, the matching generation module is electrically connected with the scheme display module and the data analysis module, and the data analysis module is electrically connected with the user interaction module. According to the fresh flower matching method based on the big data, the favors of the user can be judged according to the conditions input by the user according to the fresh flowers matched through the matching method, and the thoughts which are not expressed by the user are mined through a deep mining algorithm, so that the generated scheme can better fit the thoughts of the user.

The invention belongs to the technical field of electrochemistry, and discloses an energy storage analysis method and system of a GO / Cu1-xSrxCr2O4 nano composite material in a high-performance supercapacitor, GO / Cu1-xSrxCr2O4 nano particles are successfully synthesized through a simple precipitation route and calcination at 70 DEG C for 2 hours, and a high-performance supercapacitor nano electrode material is formed. Electrochemical impedance spectroscopy analysis shows that compared with GO and CuCr2O4, the GO / Cu (1-x) SrxCr2O4 nano composite material has relatively low charge transfer resistance (Rct) of 1.29 omega, which indicates that the GO / Cu (1-x) SrxCr2O4 nano composite material has higher conductivity. In a 1M KOH electrolyte, the GO / Cu (1-x) SrxCr2O4 nano composite material has the maximum specific capacitance of 1935.8 F / g at the scanning rate of 3mV / s, and the maximum specific capacitance is obviously higher than that of GO (480.190 F / g) which is independently used. The potential of the GO / Cu1-xSrxCr2O4 nano composite material serving as an efficient supercapacitor electrode material is shown, and enhanced capacitance and conductivity are shown through the synergistic effect among the components.

The application discloses an auxiliary diagnosis and treatment system and method based on a multi-modal fusion large model, relates to the technical field of medical artificial intelligence, adopts a dynamic time warping algorithm to align a voice feature sequence and a physiological feature sequence, then maps non-text modal semantic features to a unified text semantic space and combines a text semantic vector to construct a normalized three-dimensional feature matrix, finally extracts keywords to match a knowledge graph through vector retrieval and keyword retrieval, so as to solve the problems of subjectification of traditional diagnosis and treatment and fragmentation of multi-modal data, realize the objectification and precision of auxiliary diagnosis and treatment of mental diseases, and generate an authoritative auxiliary diagnosis and treatment scheme.

The utility model relates to the field of transformer heat dissipation, in particular to a transformer heat dissipation system based on a single chip microcomputer. Comprising a transformer, a heat dissipation device used for conducting heat dissipation on the transformer, a first temperature sensor used for measuring the oil temperature of the upper layer of the transformer, a second temperature sensor used for measuring the surface temperature of the transformer, a third temperature sensor used for measuring the room temperature, an alarm device used for providing a warning effect and a single-chip microcomputer used for controlling operation of all components. The heat dissipation device, the first temperature sensor, the second temperature sensor, the third temperature sensor and the alarm device are all connected with the single-chip microcomputer. The A / D function of the XPT2046 chip with good precision is fully utilized; the automation of temperature detection control in the scene of the transformer is realized, and the safety in the actual situation is improved; the temperature detection method of the system is simple, the heat dissipation mode utilization rate is high, a user does not need to have too much professional cognitive literacy, and meanwhile the system is suitable for various detection environments.

According to one aspect, there is provided an apparatus for analyzing a medical image, the apparatus comprising: a memory comprising instruction data representing an instruction set; and a processor configured to communicate with the memory and execute the instruction set. The instruction set, when executed by the processor, causes the processor to: i) predict a tag for the image using a first ML model; ii) obtaining a saliency map indicating a correlation of different regions of the image with the first ML model when the first ML model predicts the tag for the image; iii) obtaining a segmentation of the image; and iv) using the segmentation and the saliency map in combination to determine an indication of a feature in the image causing the first ML model to predict the tag.