Abstract: A computer-implemented system and method relate an edge device with a local machine learning model, which generates local prediction data and confidence score data, in response to sensor data. Query threshold data is received from a cloud computing system. An assessment result is assessed using the confidence score data and the query threshold data. The assessment result indicates whether or not to generate a query with the sensor data for transmission to the cloud computing system. The local predication data is assigned as a prediction result when the assessment result indicates that the query is not being generated and transmitted. The cloud prediction data is assigned as the prediction result when the assessment result indicates that the query is being generated and transmitted. The cloud prediction data is received from the cloud computing system in response to the query. The edge device is controlled using the prediction result.

Abstract: A computer-implemented system and method relate to managing a cloud computing system. Queries are received from one or more edge devices of a set of edge devices. Each query includes sensor data from the respective edge device. Prediction data is generated via one or more cloud machine learning models, using the sensor data, during a current time period. System state data is generated and indicates a current state of an environment during the current time period. The environment is defined by the cloud computing system and the set of edge devices. A machine learning system generates policy data by optimizing an expected return of a reward with respect to taking a particular action given the system state data. The machine learning system is employed by the cloud computing system. The policy data indicates a recommended action from a set of actions. The cloud computing system performs the recommended action.

Abstract: One embodiment of a method for training a machine learning model includes generating a graph based on one or more semantic concepts associated with a plurality of entities and user engagement with the plurality of entities, and performing one or more operations to train an untrained machine learning model based on the graph to generate a trained machine learning model.

Abstract: A method, an apparatus, a device, and a storage medium for extracting a cardiovascular vessel from a CTA image, the method including the steps of: performing erosion operation and dilation operation on image data successively via a preset structural element to obtain a structure mask; performing a slice-by-slice transformation on the plane of section images of the structural mask to acquire the first ascending aortic structure in the structural mask, and acquiring an aortic center position and an aortic radius in the last slice of the plane of section image of the said structural mask; establishing a binarized sphere structure according to the aortic center position and the aortic radius, and synthesizing a second ascending aorta structure by combining the first ascending aorta structure with the structure mask and the binarized sphere structure.

Abstract: The present invention provides an inversion calculation method of coal-bed gas parameters of fast test while-drilling. The technical solution is that an inversion calculation method of coal-bed gas parameters of fast test while-drilling includes: during drilling in a coal bed, testing a gas flow and a gas concentration of an orifice in real time while-drilling, calculating drilling gas discharge amounts of the orifice, inversely calculating a coal-bed gas pressure at a drill bit based on borehole and coal-bed permeability parameters, and calculating a coal-bed gas content according to a gas content and gas pressure relational expression. The present invention has the beneficial effects that the present invention does not occupy the drilling and drill rod replacement time, is accurate, convenient, real-time and fast, and can test and calculate the coal-bed gas parameters of each section along the whole borehole length.

Abstract: The present invention provides an inversion calculation method of coal-bed gas parameters of fast test while-drilling. The technical solution is that an inversion calculation method of coal-bed gas parameters of fast test while-drilling includes: during drilling in a coal bed, testing a gas flow and a gas concentration of an orifice in real time while-drilling, calculating drilling gas discharge amounts of the orifice, inversely calculating a coal-bed gas pressure at a drill bit based on borehole and coal-bed permeability parameters, and calculating a coal-bed gas content according to a gas content and gas pressure relational expression. The present invention has the beneficial effects that the present invention does not occupy the drilling and drill rod replacement time, is accurate, convenient, real-time and fast, and can test and calculate the coal-bed gas parameters of each section along the whole borehole length.

Abstract: A method and an apparatus for extracting a centerline of a tubular object are provided. The method includes: preprocessing an image of the tubular object whose centerline is to be extracted to obtain an enhanced image, acquiring a gradient vector flow field of the enhanced image; acquiring a deformation force parameter based on the gradient vector flow field and extracting ridge points of the tubular object from the enhanced image, establishing a regularized open curve deformable model; if a deformation end condition is not met, deforming and processing one ridge line segment in the initial ridge line segment list based on the model to obtain a centerline segment of the tubular object, updating the initial ridge line segment list based on the ridge line segment traversed; if the deformation end condition is met, generating a centerline of the tubular object based on the centerline segments.

Abstract: Disclosed are a method, an apparatus, a device and a storage medium for extracting a cardiovisceral vessel from a CTA image, including: performing corrosion operation and expansion operation on an image data successively via a preset structural element to obtain a structure template, wherein the image data is a coronary angiography image after a downsampling processing, and the structure template is a structure excluding a pulmonary region; performing a transformation in layer-by-layer on slice images of the structure template to acquire a first ascending aorta structure in the structure template, and acquiring an aorta center coordinate and an aorta radius in the last layer of slice image of the structure template; and establishing a binarized spherical structure according to the aorta center coordinate and the aorta radius, and synthesizing a second ascending aorta structure by combining the first ascending aorta structure with the structure template and the binarized spherical structure.

Abstract: The present invention is applicable to the technical field of medical image processing, and provides a method, an apparatus, a device, and a storage medium for extracting a cardiovascular vessel from a CTA image. The method comprises: performing erosion operation and dilation operation on image data successively via a preset structural element to obtain a structure mask; performing a slice-by-slice transformation on the plane of section images of the structural mask to acquire the first ascending aortic structure in the structural mask, and acquiring an aortic center position and an aortic radius in the last slice of the plane of section image of the said structural mask; establishing a binarized sphere structure according to the aortic center position and the aortic radius, and synthesizing a second ascending aorta structure by combining the first ascending aorta structure with the structure mask and the binarized sphere structure.

Abstract: A method and an apparatus for extracting a centerline of a tubular object are provided. The method includes: preprocessing an image of the tubular object whose centerline is to be extracted to obtain an enhanced image, acquiring a gradient vector flow field of the enhanced image; acquiring a deformation force parameter based on the gradient vector flow field and extracting ridge points of the tubular object from the enhanced image, establishing a regularized open curve deformable model; if a deformation end condition is not met, deforming and processing one ridge line segment in the initial ridge line segment list based on the model to obtain a centerline segment of the tubular object, updating the initial ridge line segment list based on the ridge line segment traversed; if the deformation end condition is met, generating a centerline of the tubular object based on the centerline segments.

Abstract: Disclosed are a method, an apparatus, a device and a storage medium for extracting a cardiovisceral vessel from a CTA image, including: performing corrosion operation and expansion operation on an image data successively via a preset structural element to obtain a structure template, wherein the image data is a coronary angiography image after a downsampling processing, and the structure template is a structure excluding a pulmonary region; performing a transformation in layer-by-layer on slice images of the structure template to acquire a first ascending aorta structure in the structure template, and acquiring an aorta center coordinate and an aorta radius in the last layer of slice image of the structure template; and establishing a binarized spherical structure according to the aorta center coordinate and the aorta radius, and synthesizing a second ascending aorta structure by combining the first ascending aorta structure with the structure template and the binarized spherical structure.