Abstract: A method for pre-training a backbone network for encoding three-dimensional point cloud data into feature vectors includes: encoding a first data point set in a three-dimensional point cloud into a first feature vector set by the backbone network; generating a corresponding plurality of extended data points based on each first data point in the first data point set to obtain a second data point set; for each first data point and the corresponding plurality of extended data points in the second data point set: assigning predetermined occupancy probabilities to the first data point and the corresponding plurality of extended data points, respectively, and generating second feature vectors for the first data point and the corresponding plurality of extended data points, respectively; generating a predicted occupancy probability for each data point based on the second feature vector of each data point in the second data point set; and updating learnable parameters of the backbone network based on the predetermine

Abstract: A method for automatic optical inspection (AOI) includes (i) obtaining an image of an inspected component of a first domain, (ii) inputting the image of the inspected component into an inspection model, the inspection model comprising a generic feature extraction sub-model and at least one task inspection sub-model associated with a particular AOI task of the first domain, (iii) generating, by the generic feature extraction sub-model, a first feature representation of the image based on the image of the inspected component, and (iv) generating, by the at least one task inspection sub-model, at least one inspection result associated with the particular AOI task of the first domain based on the first feature representation of the image.

Abstract: An operation control system for a gas-steam combined cycle generator unit-includes a real-time operation data acquisition module, to collect the operation parameter data and power generation data of a power plant unit, an operation status evaluation index mining module, to mine and analyze the operation parameter data of a power plant unit to get key parameters, an operation status evaluation index extraction module, to obtain characteristic variables, an operation characteristic parameter prediction module, to predict the said characteristic variables and obtain the predicted value and the corresponding change trend, and an operation intelligent control module, to realize the intelligent control of parameters. The operation control system can guide the optimal operation of power plant units, and improve their operation reliability and economy.

Abstract: A method comprises performing data pre-processing of initial signals to obtain pre-processed initial signals; building a first machine learning model based on the pre-processed initial signals; generating output signals using the first machine learning model; computing ranks of the output signals; computing classifications of the output signals; and building a set of stacked machine learning models based on the ranks and the classifications. The set of stacked machine learning models may be used to generate subsurface well log data, NMR data, or other data.

Abstract: A method comprises performing data pre-processing of initial signals to obtain pre-processed initial signals; building a first machine learning model based on the pre-processed initial signals; generating output signals using the first machine learning model; computing ranks of the output signals; computing classifications of the output signals; and building a set of stacked machine learning models based on the ranks and the classifications. The set of stacked machine learning models may be used to generate subsurface well log data, NMR data, or other data.