121 results about "Screening Result" patented technology

This application discloses a method, apparatus, device, storage medium, and program product for screening face images, belonging to the field of face image screening technology. The method includes: acquiring multiple face images; detecting facial key points and target facial regions from the face images; calculating a first three-dimensional pose angle of the face images based on the facial key points; performing error compensation correction on the first three-dimensional pose angle to obtain a second three-dimensional pose angle; mapping the coordinates of the key points of the target facial region to a virtual projection plane when the face is facing the camera, based on the second three-dimensional pose angle, to obtain corrected coordinates of the key points of the target facial region; calculating state parameters of the target facial region based on the corrected coordinates of the key points of the target facial region; and selecting face images from the multiple face images whose target facial region state parameters satisfy a first preset condition and whose second three-dimensional pose angle satisfies a second preset condition, thereby obtaining a target image. According to the embodiments of this application, the accuracy and efficiency of the screening results can be improved.

This disclosure describes a method, system, and server for viewing medical images. The method includes: receiving medical images; outputting screening results based on the medical images, the screening results including at least a lesion judgment result based on the medical images using a machine learning algorithm to determine the presence of lesions, and a quality control judgment result based on information including the lesion judgment result to determine whether the medical images require quality control; dividing the medical images into qualified images and first images to be quality controlled based on the screening results, and using the first images to be quality controlled and a portion of the qualified images as images to be quality controlled; and outputting quality control results based on the images to be quality controlled. This improves the accuracy of medical image screening.

This invention discloses a novel intelligent rapid screening device for depression / Alzheimer's disease, used for early auxiliary detection of either condition. It comprises: an EEG acquisition module, a human-computer interaction module, a wireless transmission module, and an intelligent analysis module. The EEG acquisition module collects resting-state and task-oriented EEG signals from the subject. The human-computer interaction module selects the screening mode, inputs subject information, performs impedance detection, signal verification, and provides task guidance. The wireless transmission module enables data transmission between the modules. The intelligent analysis module receives the EEG signals, analyzes the data using a machine learning model, and outputs the screening results. This device uses dry electrode technology, eliminating the need for conductive adhesive. The brain-computer interface is made of skin-friendly material for comfortable wear. Wireless transmission and cloud analysis provide high flexibility. AI-based data analysis and pattern recognition improve diagnostic efficiency and accuracy.

The present application belongs to the technical field of PCB defect detection, and particularly relates to a PCB back-drilling defect detection method, a detection device and an evaluation method. The method first identifies and preliminarily screens the holes to be rechecked through the two-dimensional image of the whole board; then performs three-dimensional topography scanning on the holes to be rechecked, and performs spatial registration on the two-dimensional image subgraph and the three-dimensional point cloud data matrix of the same hole through a unified coordinate system, so that the two-dimensional texture and the three-dimensional topography information are accurately corresponded; based on the fused data after registration, residual stubs, copper wire residues, dirt, microcavities, depressions, scratches and hole wall roughness are identified and classified. The present application corresponds the two-dimensional preliminary screening result and the three-dimensional measurement data through spatial registration, so that the copper wire and the dirt, the microcavity and the scratch can be distinguished based on the three-dimensional topography difference, and the size parameters such as the residual stub length and the hole wall roughness are included in the quality evaluation.

The application provides a kind of InSAR deformation monitoring point high-precision geometric positioning method combined with three-dimensional model data, belongs to synthetic aperture radar technical field, comprising: converting three-dimensional model data into space rectangular coordinates, combined with satellite orbit parameter iteration to solve row and column coordinates in SAR image, calculate the slant range projection distance of satellite-observation vector, screen and eliminate invalid data in shadow area;With the screening result as a mask, obtain a subset of three-dimensional model data, calculate the row and column coordinates of the InSAR deformation monitoring point of the subset of three-dimensional model data, and search for candidate points based on plane geometric constraints, match the accurate elevation of the monitoring point by height system deviation;Based on the determined accurate elevation, construct the RD positioning model of distance constraint, Doppler frequency constraint and ellipsoid constraint, and solve the high-precision geometric position of InSAR deformation monitoring point. It can realize the high-precision geometric positioning of infrastructure InSAR deformation monitoring point, and improve the applicability in infrastructure fine deformation monitoring.

This invention relates to the field of intelligent breeding technology, specifically disclosing a high-throughput intelligent screening method for multi-trait ginseng breeding materials based on deep learning. The method includes breeding data acquisition, high-throughput acquisition of hyperspectral phenotypes, construction of a multi-trait prediction model, model interpretability analysis, comprehensive screening of multiple traits, and verification of screening results. This scheme utilizes UAV hyperspectral remote sensing technology to achieve rapid and non-destructive determination of saponin content, significantly improving the throughput of phenotypic data acquisition. A multi-task learning architecture and deep neural networks are used to construct a multi-trait prediction model. By sharing representation layers, genetic associations between traits are captured, while retaining the specific information of each trait, achieving collaborative and accurate prediction of multiple traits. Through integrated gradient and attention weight analysis, key marker sites are accurately located, and their biological significance is revealed by functional annotation, enhancing the model's transparency and credibility.

This invention relates to the field of plastic waste crushing and treatment technology, and discloses a plastic product processing and crushing equipment, including a processing box with an inlet and an outlet. The processing box contains a crushing mechanism and a movable plate, with the inlet of the crushing mechanism positioned between it and the movable plate. The movable plate can move vertically within the processing box. The movable plate has several through holes along its length, and screening plates are installed on the through holes. The movable plate also has several curved plates for guiding particles to the screening plates, with the through holes and curved plates spaced apart along the length of the movable plate. The invention further includes a drive mechanism for driving the movable plate in vertical reciprocating motion and a cleaning mechanism for cleaning the multiple screening plates. This invention mainly solves the problem that existing crushing equipment lacks screening functionality for the crushed material, and that manual screening results in low work efficiency.

The application discloses a kind of personal number knowledge base creation and configuration method supporting multi-dimension screening, it is related to data processing technical field, method includes: creating and the exclusive knowledge base of personal number binding, establish and the data interface connection of customer management system, communication push system;Configuration knowledge base basic function, establish file and the initial mapping of customer label, business scenario;Multi-dimension screening logic containing basic attribute, customer behavior, cross-system feedback dimension is built, preset screening dimension self-evolution process, business conflict calibration process and cross-system screening dimension generation process are handled;The process is executed to realize the real-time linkage of screening result and customer communication scene, multi-system, complete predictive screening and business process dynamic calibration.This method improves the adaptability and efficiency of knowledge resource screening, and provides support for personal number to efficiently carry out business.

This application relates to a source-aware activity ranking-based method for screening DPP-IV repressive peptides, comprising: constructing a training dataset containing positive samples and at least three levels of negative samples; extracting multimodal features of peptides, including at least sequence deep semantic embedding features and pocket structure features; explicitly aligning the above features using a cross-attention mechanism to generate fusion features; inputting the fusion features into the classification branch and ranking branch of a decoupled prediction architecture, outputting classification probability and activity ranking score respectively, wherein the ranking branch uses an independent ranking model and is trained based on preference pairs constructed from data within the same assay source; and performing virtual screening output by combining classification probability, activity ranking score, multidimensional confidence judgment, and ADMET safety screening results. This application achieves structurally interpretable characterization of substrate-enzyme binding modes and improves the statistical significance and generalization stability of peptide activity ranking under cross-laboratory batch effects.

The application relates to a G-quadruplex RNA fluorescent ligand and a preparation method and application thereof, a structure formula of the G-quadruplex RNA fluorescent ligand is shown in the following formula: the compound can be specifically targeted and can be subjected to fluorescent imaging in a solution system and a cell system, a high-throughput fluorescent screening method is established in the solution and the cell system, and an organic small-molecule compound with strong binding capacity to G-quadruplex RNA can be effectively identified and screened from a small-molecule drug library; the screening result of the method is high in accuracy, the affinity and biological activity of a candidate compound can be quickly determined by evaluating the change of a fluorescent signal, and therefore the research and development process of an antitumor drug is accelerated; and the application belongs to the field of biological medicines.

The present invention provides a method, apparatus, terminal, and medium for screening gene mutation points based on clinical phenotypes. The method includes: identifying candidate genes based on gene detection results, clinical text to be analyzed, and a multi-source database; calculating the basic weights of a first pathway; extracting candidate mutation sites within the genomic regions of the candidate genes and obtaining external evidence corresponding to the candidate mutation sites; performing phenotypic extraction on the clinical text to be analyzed to obtain a structured phenotype; inputting the structured phenotype, contextual information of the candidate mutation sites, and external evidence into a trained mutation site screening model to obtain intermediate semantic analysis results; determining the basic weights of a second pathway based on the intermediate semantic analysis results; obtaining a comprehensive weight for each candidate mutation site based on the basic weights of the first and second pathways; and screening the candidate mutation sites based on the comprehensive weights to obtain screening results. This application can perform site-level screening, improving the accuracy of gene mutation point screening.

The application discloses a target screening method and system based on a low-rank sparse joint tensor of an enhanced latent space, relates to the technical field of target screening, and comprises the following steps: introducing a projection matrix to project a first matrix into a latent representation matrix, and performing separation of a noise matrix once to obtain a second matrix and a first noise matrix; performing self-representation on the second matrix in a latent space, and performing separation of a noise matrix twice to obtain a self-representation matrix of multi-view data and a second noise matrix; performing separation of a block diagonal and a non-block diagonal on the self-representation matrix, and constructing a block diagonal tensor and a non-block diagonal tensor; respectively calculating norms of the noise matrix, the block diagonal tensor and the non-block diagonal tensor, and performing weighted summation on the respective norm results to obtain a target function; solving the target function by using an alternating direction multiplier method; and obtaining a multi-view self-representation coefficient matrix when the solution result of the target function is the minimum value.

This application discloses a method, apparatus, electronic device, and program product for screening high-net-worth users, relating to the field of user profiling technology. The method includes: acquiring feature data of users to be screened, including user occupation information, terminal price information, luxury goods interaction information, car owner identity information, and average monthly consumption contribution; inputting the feature data into a user net worth screening model to obtain the net worth screening result for the users to be screened, the user net worth screening model being trained based on the XGBoost ensemble learning algorithm and through structural risk minimization; and determining whether the users to be screened are high-net-worth users based on the net worth screening result. This application, by using a user net worth screening model to determine whether a user belongs to high-net-worth users based on multi-dimensional feature data, effectively improves the accuracy of identifying high-net-worth users from communication users.

The application provides a kinase inhibitor leading compound, a virtual screening method thereof and application of the kinase inhibitor leading compound in preparation of branched-chain alpha-keto acid dehydrogenase kinase inhibitors and / or drugs for treating diseases mediated by branched-chain alpha-keto acid dehydrogenase kinase. The virtual screening method provided by the application combines various virtual screening platforms to screen a large-scale compound library, improves the true positive rate of screening results, reduces the number of compounds needing experimental screening, and saves screening time and cost. In addition, the compounds I-III screened out with good binding affinity to BCKDK can be used in researches on targeting BCKDK to treat major diseases such as obesity, insulin resistance, maple syrup urine disease, neurological dysfunction, liver cancer, colorectal cancer and tumor cachexia.

This invention provides a system and method for evaluating and screening underground gas storage sites based on a B / S architecture. The system is built on a B / S architecture, where the gas storage site evaluation index management module and the gas storage site evaluation and screening function module generate function form operation instructions corresponding to functional requirements through a browser, and send the corresponding HTTP requests to a web server. After responding to the requests from the browser, the web server sends database access requests corresponding to the function form operation instructions to a database server. The database server receives and processes the database access requests, and then returns the matching results to the web server. Collaboratively, the system calculates the evaluation results for the sites to be evaluated based on current indicators and indicator standards, including the evaluation score for each site and the corresponding screening results. This approach overcomes the problems of complex calculations and limited application in existing technologies, achieving reliable site evaluation and screening with rapid deployment, installation, and configuration.

This application relates to the field of medical data processing technology and discloses a method and system for screening infertile patients with polycystic ovary syndrome (PCOS). The method includes: acquiring data on the number of antral follicles, anti-Müllerian hormone (AMH) concentration, and ovarian volume from multiple patient monitoring cycles; performing feature extraction and normalization to obtain a set of normalized feature vectors; determining the synchronous relationship between the number of antral follicles and ovarian volume based on the vector set, and identifying signs of asynchronous changes; combining hormone concentrations for joint grouping to obtain the distribution of abnormal indicator clusters and identifying ovarian function stage markers; performing sequence matching based on the stage markers of continuous cycles and historical medical records to generate an ovarian function progression trajectory curve; extracting inflection point features from the curve and performing causal association rule mining to construct a logical chain between abnormal indicators and clinical outcomes; and determining conditions layer by layer according to the logical chain to output the final screening results. This application improves the accuracy of screening infertile patients with PCOS.

The method comprises: for each to-be-sequenced corner point in a plurality of to-be-sequenced corner points, determining an actual distance between the to-be-sequenced corner point and a current to-be-adjacent point in a to-be-adjacent point sequence according to coordinates of the to-be-sequenced corner point and coordinates of the current to-be-adjacent point, screening a target adjacent point of the current to-be-adjacent point from the plurality of to-be-sequenced corner points according to a plurality of actual distances and a distance prediction value of the current to-be-adjacent point, and determining a corner point sequence result according to a screening result and a sequence index of the current to-be-adjacent point. The method of the embodiment can realize the sequencing of effective corner points detected under the condition that a detection algorithm cannot completely detect all corner points.

This invention discloses a hybrid model-driven nutritional risk prediction method and system for precision nutritional intervention. The method constructs a large-scale patient typing model containing multiple typical patient types and their associated assessment parameter packages, integrating a standardized first screening model with a personalized second screening model. In application, the first screening model is first used to standardize and initially screen patient data. Then, the large-scale patient typing model extracts patient feature inputs based on the patient data and initial screening results for typing and obtains the corresponding assessment parameter packages. The second screening model is then personalized based on these parameter packages, supplemented with key data, and combined with personalized thresholds to calculate the final risk level and generate a comprehensive assessment report. This invention achieves dynamic individualized adaptation of assessment strategies, improves the accuracy and clinical interpretability of risk identification, and optimizes workflow and resource allocation.

This invention belongs to the field of medical image-assisted diagnosis technology, specifically a cervical cancer early screening system based on cell morphology modeling. It includes an image acquisition and standardized preprocessing unit, an adaptive boundary continuity construction module, a microscopic high-frequency deformation feature deconstruction module, a biophysical property dynamic modeling module, a multidimensional anomalousness evaluation engine, and an intelligent screening result feedback center. It actively evolves and generates closed contours through a physical potential field model, quantifies the high-frequency deformation features of the nuclear membrane using multi-scale curvature flow decomposition, and performs dynamic response analysis based on finite element analysis to invert physical rigidity. This application achieves modeling from apparent pixels to deep mechanisms, effectively distinguishing between physiological compression deformation and malignant morphological anomalousness, significantly improving the system's screening sensitivity and diagnostic robustness.

The application discloses an ultrasound examination and clinical management method for a fetus with umbilical cord torsion and related equipment. The application triggers a suspected umbilical cord torsion risk identification process based on the complaint information of a pregnant woman, and determines whether to enter key ultrasound screening through preliminary assessment. Through multi-section analysis of ultrasound image data, the morphological characteristics of the umbilical cord are extracted, and whether the fetus has growth restriction is evaluated in combination with the fetal growth parameters to form an ultrasound key screening result. Based on the preliminary assessment result and the ultrasound screening result, the risk level of the fetus is determined, and a corresponding clinical intervention strategy is formulated according to the risk level. Through stratified screening, information fusion and risk grading, the standardized management of the fetus with suspected umbilical cord torsion is realized, the early identification ability of the umbilical cord torsion is improved, the timeliness of clinical intervention is improved, and effective decision support is provided for the clinic.

This invention discloses a two-stage hybrid retrieval method and system based on keyword guidance and semantic ranking. The method performs query analysis and keyword extraction on the user's query text to form a query guidance set; it then uses an inverted index for keyword coarse screening to obtain a coarse screening result set of candidate document fragments; adaptive context expansion is performed on the candidate document fragments; semantic vectorization and similarity calculation are performed to obtain semantic similarity scores; dynamic weight fusion is used to re-rank the coarse screening result set; and the ranked candidate document fragments are optimized to output the final retrieval result list. The system includes a keyword extraction module, an inverted index and coarse screening module, a context intelligent expansion module, a semantic ranking module, and a result optimization module. These modules are sequentially connected and work collaboratively to complete the hybrid retrieval process from query input to result output. This method and system improve retrieval accuracy and recall, while also achieving high retrieval efficiency and low resource consumption.

This invention discloses a literature screening method, system, device, and storage medium based on multi-language model stability determination, relating to the fields of information technology and literature processing technology. The method constructs a complete literature screening quality assessment system through core steps such as data import, preprocessing, dual-model multi-round screening, stability determination and early stopping, arbitration judgment, and stratified sampling evaluation. The system adopts a multi-module collaborative architecture, achieving a technological improvement from "single judgment" to "quantifiable stability judgment" through prompt word rotation, quantifiable stability determination, and intelligent arbitration mechanisms. This invention effectively solves key technical problems in multi-source literature data processing, significantly improves the accuracy, stability, and traceability of screening results, and provides an efficient and reliable solution for scenarios such as system reviews and scientific and technological intelligence analysis.

The present disclosure provides a data screening method, device, equipment and medium, relates to the field of data processing, in particular to the fields of big data, intelligent search and artificial intelligence. The specific implementation scheme is: determining a data screening mode according to the target quantity, the target data set and the processor core set; assigning the target data set to a processor core in the processor core set according to the data screening mode; using each processor core, sequentially selecting a to-be-compared data set according to the assigned data, and sequentially performing a comparison operation on each to-be-compared data set using a single instruction multiple data instruction to obtain a comparison result of each to-be-compared data set; and using each processor core, determining a screening result of data in each screening range according to the comparison result of each to-be-compared data set. The embodiment of the present disclosure can adapt to a single instruction multiple data instruction to improve the data screening efficiency.

The application relates to a sticker effect detection method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining a to-be-detected image obtained by adding an edited sticker in a target image, and obtaining an editing parameter under at least one editing item corresponding to the sticker; performing pixel point comparison on the target image and the to-be-detected image; determining a difference map corresponding to a difference pixel point in the to-be-detected image; performing editing parameter screening on each editing item based on the difference map to obtain a screening result; the editing parameter screening is screening a target editing parameter from a candidate editing parameter under the corresponding editing item, so that the original sticker is matched with the difference map after being edited according to the corresponding target editing parameter; when the screening result is that the target editing parameter exists under each editing item, the target editing parameter is compared with the corresponding editing parameter to obtain a sticker effect detection result. Based on the above method, the sticker effect of the to-be-detected image can be quickly and accurately detected.

The application provides a memory management method and device for long-time multi-round dialogue, wherein the method comprises: based on a received conversation message stream, performing memory unit extraction to obtain all atomic memory units; constructing a causal dependency graph associated with all the atomic memory units and a conflict relationship graph associated with the atomic memory units; in response to a received user question, generating a requirement key set and determining a token budget; based on the user question, selecting from all the atomic memory units to obtain a candidate set; through the causal dependency graph, the conflict relationship graph, the requirement key set and the token budget, screening the candidate set, and based on the screening result, constructing a memory capsule; based on the memory capsule, generating a target answer corresponding to the user question. The stability, consistency and traceability of the model when using historical memory in a multi-round and long-time dialogue scene are improved.

This invention discloses a method for screening key lipids during buckwheat storage based on lipidomics and machine learning, belonging to the field of food quality detection and metabolic biomarker screening technology. The method includes: collecting buckwheat samples under different storage conditions; obtaining volatile compound data through GC-MS analysis; acquiring lipidomics data of the buckwheat samples using lipidomics analysis; measuring quality-related indicators of the buckwheat samples; preprocessing the volatile compound data and lipidomics data; constructing a LASSO regression model to extract lipid molecules with non-zero coefficients as the first candidate set of key lipids; constructing a random forest regression model to calculate the importance score of each lipid molecule; and evaluating the predictive performance of key lipid molecules on the changing trends of marker volatile compounds. This invention is the first to combine LASSO regression and random forest regression for screening key lipids during buckwheat storage, overcoming the limitations of single methods, resulting in more scientific and reliable screening results, and providing a new method for revealing the molecular mechanism of buckwheat storage quality formation.

We provide the system. [Solution] A means of receiving financial information entered by the user, A method using a machine learning model that analyzes received information and performs a preliminary review, A means for generating a credit provision plan and repayment forecast suitable for the user based on the generated preliminary screening results, Information provision means for providing information in response to user requests, A means of managing the above means in conjunction and providing continuous support to users throughout the day, An interface means that allows repayment predictions to be intuitively visualized on the user's terminal, A system that includes this.

This invention relates to the field of permanent magnet motor fault diagnosis technology, and more particularly to a deep learning-based method for permanent magnet motor fault diagnosis. The method includes: performing field aggregation and channel mapping processing based on rotor surface temperature values ​​and stator coil temperature values ​​to obtain an operating condition dataset; performing bearing vibration frequency processing, bearing speed processing, and audio signal mapping processing based on the operating condition dataset to generate mechanical screening results; further performing fixed-time-window segmentation, time synchronization, fault tag cross-comparison, and comprehensive evaluation processing on the mechanical screening results to generate a comprehensive evaluation result; and finally, generating alarm signals and maintenance suggestions based on the comprehensive evaluation result to obtain a fault diagnosis result. This invention can streamline the recording relationships within a time window, improving the continuity and verifiability of the fault diagnosis result generation process.

This utility model relates to the field of pulverizers, and more particularly to a pulverizer for gypsum calcination with a screening mechanism. A pair of pulverizing rollers are installed in the middle of the pulverizer body, and a material discharge port is provided below the rollers. Multiple screens are installed below the material discharge port via mounting grooves, and trays are installed below the screens. A discharge port is located on the side away from the screens. In this utility model, the bottom of the pulverizer body allows for quick assembly and disassembly of the screens and trays via mounting grooves and insert pins to facilitate material removal. Vibration motors are installed on both the screens and trays to achieve a vibratory screening effect. Spring assemblies are provided on both the mounting grooves and insert pins to assist vibration. The movable insert pins allow for quick locking and unlocking of the screens and trays, effectively ensuring screening results and improving work efficiency.