5 results about "Semantic analyzer" patented technology

A system for dynamic latent space adaptation using spatiotemporal kernel context for multiscale rendering with hierarchical and Lorentzian autoencoders. The Spatiotemporal Kernel Estimator (SKE) analyzes media through motion field, temporal recurrence, frequency band, and scene semantics analyzers to generate adaptive kernel parameters encoding content-specific importance distributions. The system dynamically adapts latent manifold geometry by modifying metric tensor properties according to kernel context, enabling content-aware compression that allocates representational capacity based on visual significance. A multiscale cache implements kernel-adaptive retention policies prioritizing important regions. An adaptive renderer provides intelligent level-of-detail selection based on zoom level and kernel-estimated importance, optimizing processing allocation. The self-optimizing architecture continuously refines kernel context and geometric adaptation based on user interaction and performance feedback, achieving superior compression ratios and perceptual quality. Applications include bandwidth-efficient video streaming, virtual reality, scientific visualization, and cognitive video analytics requiring intelligent context-aware visual processing.

This invention discloses a method for extracting yeast transcription factor-gene relationships from biological text. The method includes: retrieving literature related to yeast transcription factor-gene relationship extraction; constructing an input representation; constructing a relationship extraction model; inputting the input representation into the trained relationship extraction model to obtain a pre-selected output representation containing transcription factor-gene binding or regulatory information; inputting the output representation into the trained relationship extraction model to obtain a first probability; inputting the output representation into a syntactic analyzer and a semantic analyzer respectively, and then into a graph neural network to obtain a second probability; setting a loss function for secondary training; inputting real-time collected literature into the model each time; and finally obtaining a joint probability based on the first and second probabilities. If the joint probability is greater than a preset value, the output representation is considered to contain transcription factor-gene binding or regulatory information, and the corresponding output representation is output. The advantage of this invention is that the relationship extraction is more accurate.

The invention relates to the technical field of building engineering information, and discloses an engineering project digital archive management method based on BIM. The method comprises the following steps: initializing a BIM platform environment, importing a BIM model and related archive data, and carrying out standardization processing; constructing a project component association graph and an archive data flow graph by using a graph technology; and capturing state change through event monitoring, and synthesizing a project operation state diagram and an archive data dynamic flow diagram in real time. The core innovation lies in that a row calls a semantic analyzer and an authority checker to scan and check a double-dynamic graph, and outputs an abnormal identifier set; positioning an abnormal node and performing dependency chain backtracking along an archive flow graph, and accurately extracting a problem root; a test case is generated by combining static analysis and a novel test strategy, and defect details are monitored and recorded during operation. And integrating the problem root and the defect record to generate a comprehensive management report. According to the invention, the real-time performance of engineering file management and the accuracy of problem tracing are improved.

The application discloses a kind of meteorological water conservancy disaster intelligent grading early warning linkage calling routing method and system.Through the construction meteorological water conservancy double factor early warning matrix, establish cross-department data fusion channel, develop early warning coupling model, realize multidimensional early warning fusion.Formulate water conservancy special response strategy library, including river water level grading route and mountain torrent risk area customization strategy.Develop intelligent water conservancy enhancement module, such as flood control engineering topology analysis engine and water rain work condition semantic analyzer.With the first dynamic coupling algorithm to build three-element risk rating model, based on double dimension water conservancy emergency response topology network and water conservancy engineering BIM data and meteorological early warning space overlay analysis module and other characteristic innovation features.Can improve the accuracy and comprehensiveness of disaster warning, ensure the timeliness and effectiveness of emergency response, improve the intelligent level of system and disaster response capability.

The application discloses a kind of legal document generation method and device, electronic equipment, storage medium, it is related to legal document generation technical field or other related fields, wherein, the method comprises: receiving first language case information and legal document generation demand;First language case information is analyzed by the semantic analyzer corresponding to first language, and the case elements of target case are obtained, and first language case information is translated by translator, and second language case information is obtained;Case elements are based on inquiring target legal knowledge base, and the query result is obtained;Target document template is determined based on legal document generation demand, and target legal document is generated based on target document template, second language case information, case elements and query result.The present application solves the technical problems that related art cannot accurately understand and convert professional legal terms and context in the process of cross-language generation of legal documents, leading to inaccurate or even non-compliant legal documents.