Abstract: A method implements an informed feature extraction foundation model. The method involves processing a reference image and a target image using a feature encoder model to generate feature encoder output. The method further involves processing a reference mask using a prompt encoder model to generate a prompt encoder output. The method further involves processing the feature encoder output and the prompt encoder model output using a mask decoder model to generate a target mask.

Abstract: The present disclosure provides a method for optimizing large language model conversation, including: in response to entering a current conversation turn, acquiring configuration information corresponding to the current conversation turn based on a type of the current conversation turn; acquiring user input information corresponding to the current conversation turn; determining whether the current conversation turn needs to be switched based on a conversation turn switching determination strategy corresponding to the conversation turn switching strategy configuration information; when the current conversation turn needs to be switched, determining a next conversation turn corresponding to the current conversation turn, and entering the next conversation turn; when the current conversation turn does not need to be switched, generating a response task, and performing the response task calling a large language model to generate a response message; and outputting the response message in the current conversation t

Abstract: Provided is a method for converting medical documents, including: receiving a medical document to be processed input by a user and a target format requirement for the medical document to be processed; determining a target attribute document template based on the target format requirement; inputting the target attribute document template into a large language model to obtain the attribute information output by the large language model; initializing target document conversion parameters for a medical document processing engine based on the attribute information to obtain a target medical document processing engine; and performing format conversion on the medical document to be processed using the target medical document processing engine to obtain a medical document corresponding to the target format requirement. By initializing the target document conversion parameters for the medical document processing engine with the attribute information, the format conversion of medical documents can be achieved.

Abstract: The present disclosure provides an intelligent medical consultation dialogue method, including: acquiring a medical consultation dialogue from a target user through an intelligent medical consultation dialogue interface; extracting disease feature information from the consultation dialogue; querying a medical decision-making database based on the disease feature information to obtain a suspected disease set; calculating a degree of suspicion corresponding to the suspected disease in the suspected disease set; screening for a target suspected disease from the suspected disease set based on the degree of suspicion; determining whether an unconfirmed disease factor exists in the suspected disease based on the disease feature information; and initiating a question generation task based on the unconfirmed disease factor, performing the question generation task using a large language model to obtain a question targeting the unconfirmed disease factor, and outputting the question.

Abstract: Provided is a for determining medical diagnostic factors, including: acquiring an affected area image of a patient, a laboratory report, and a doctor-patient dialogue; performing symptom analysis on the affected area image, the laboratory report, and the doctor-patient dialogue to obtain first diagnostic information corresponding to the affected area image, second diagnostic information corresponding to the laboratory report, and third diagnostic information corresponding to the doctor-patient dialogue; performing a weighted fusion of one or more symptoms to be fused from the first diagnostic information, the second diagnostic information, and the third diagnostic information based on an attention mechanism to obtain target diagnostic information; matching the target diagnostic information with symptoms in a symptom library to determine a target symptom corresponding to the target diagnostic information.

Abstract: A method for reconstructing at least one trace in a seismic image of a common receiver and time domain includes a convolutional neural network trained under an unsupervised learning approach with a modified receptive field.

Abstract: A method for pollutant sensor placement for pollutants from point sources is described. Data about environmental characteristics for a geographic region are received from a plurality of environmental sensors. The geographic region includes pollutant sources that emit a pollutant. The received data from one or more of the plurality of environmental sensors are transformed into common data having a common spatial and temporal discretization across the geographic region. Predicted emission plumes are generated for the pollutant sources within the geographic region that identify pollutant detection regions for the pollutant when the pollutant is emitted by the pollutant sources using the common data. Sensor locations for a plurality of pollutant sensors are greedily selected across the common spatial and temporal discretization according to a number of predicted emission plumes that are detectable by the plurality of pollutant sensors.

Abstract: The present invention is related to a method for reconstructing at least one trace in a seismic image of a common receiver and time domain, the image comprising traces in time domain with seismic data and one or more traces to be reconstructed. A first aspect of the invention is a method that is characterized by a specific use of a convolutional neural network trained under an unsupervised learning approach with a modified receptive field. A second aspect of the invention is a deblending method based on the use of a reconstructing method according to the first aspect of the invention applied to a denoising step of a deblending process allowing a very effective data acquisition while keeping a high quality output data sets after being processed according to the first and/or second aspects of the invention.

Abstract: A method for pollutant sensor placement is described. Data about environmental characteristics across a geographic region is received from a plurality of environmental sensors. The geographic region includes one or more pollutant sources that emit a pollutant. The received data is transformed from one or more of the plurality of environmental sensors into common data having a common grid across the geographic region. The geographic region is divided into a plurality of sub-regions based on the common data. Locations within the geographic region are determined for placement of pollutant sensors based on estimated dispersion of the pollutant through the plurality of sub-regions.

Abstract: A structural health monitoring circuit apparatus and method are based on electrical impedance variations of a piezoelectric patch, which is attached to a structure to be monitored. The circuit compares a known good sweep of frequency-impedance pairs with a contemporaneous sweep to generate an alarm when an error bound is exceeded. The impedance of the piezoelectric patch is determined though adjustment of a variable reactance in a bridge configuration. By suitable design of the bridge elements, the electrical impedance of the piezoelectric patch may be directly measured. A microprocessor controlled version of this device consumes less than 2 W of power, which may be further reduced by further large scale integration or reduction to a state machine on a programmable gate array. Ultimately, this device may give personnel warnings to aircraft, automobiles, bridges, elevated roads, buildings, or home structural failures.