Abstract: Systems and methods are disclosed for converting natural language queries to a query instruction set for searching a data warehouse. To generate a query instruction set from a natural language query, a system iteratively uses a generative artificial intelligence (AI) model and database query tools to generate a query instruction set in a stepwise manner. The system and generative AI model do not require a priori knowledge of data table contents in the data warehouse, which may include sensitive information. In addition, the system does not require access to the data warehouse to generate the query instruction set. Instead, the system is implemented to use structure information from the data warehouse, including table lists (such as table names) and table format information (such as column names) of tables in the data warehouse, and the generative AI model is a generally trained model to generate the query instruction set.

Abstract: A cascaded energy storage system includes: a gas storage which is divided into at least one air chamber and at least one working medium gas chamber by a flexible diaphragm, where pressure of the air chamber is equal to pressure of the working medium gas chamber, and volume of the air chamber and volume of the working medium gas chamber is capable of being adjusted by contraction and expansion of the flexible diaphragm; an air compression and energy release assembly which communicates with the air chamber, and is configured to introduce compressed air into the air chamber and release the compressed air; a working medium gas-liquid conversion assembly including a working medium compression assembly, a working medium expansion assembly and a liquid storage assembly; and a heat storage assembly, configured to release heat or store heat to the working medium gas-liquid conversion assembly.

Abstract: Certain aspects of the present disclosure provide techniques for detecting sentences that are utterances by an agent indicating an intent to poach a customer. According to certain embodiments, a language model is trained using query sentences that are confirmed to be sentences used in poaching a customer, to identify semantically similar sentences in a corpus. These semantically similar sentences are then used as base sentences for comparison to sentences in a transcript. Sentences of the transcript that are found to be semantically similar to one or more base sentences are provided to a user device for review and confirmation that the similar sentence was generated by an agent in an attempt to poach a customer.

Abstract: This disclosure provides systems, methods and apparatuses for machine learning. In some implementations, a pre-processing system may identify one or more special features in an input dataset and may generate one or more pruned datasets, respectively, based on the identified special features. The pre-processing system maps each of the pruned datasets to one or more predictions and selectively removes the values associated with one or more special features from the input dataset based on the mapping. In some other implementations, a pre-processing system may map each of the feature sets in an input dataset to multiple predictions in accordance with multiple machine learning algorithms. The pre-processing system evaluates a performance of each of the mappings and selects one of the machine learning algorithms to be used to train the machine learning model based on the performance of each mapping.

Abstract: Aspects of the present disclosure provide techniques for improved text classification. Embodiments include providing, based on a text string, one or more first inputs to a summary model. Embodiments include determining, based on one or more first outputs from the summary model in response to the one or more first inputs, a summarized version of the text string. In some embodiments the summarized version of the text string comprises a number of tokens that is less than or equal to a maximum number of input tokens for a machine learning model. Embodiments include providing, based on the summarized version of the text string, one or more second inputs to the machine learning model. Embodiments include determining one or more attributes of the text string based on one or more second outputs received from the machine learning model in response to the one or more second inputs.

Abstract: A method including generating a captured facial object and a captured pose from a captured image. The method also includes obtaining a base facial object and a base pose from a base image. The method also includes generating base pose angles using the captured pose, and captured pose angles using the captured pose. The method also includes obtaining selected base images using the base pose angles and the base facial object. The method also includes generating selected captured images using the captured pose angles and the captured facial object. The method also includes comparing the selected base images to the selected captured images to establish a comparison. The method also includes outputting a match output using the comparison.

Abstract: A method includes extracting attribute values of attributes from login events, filtering the attribute values based on correlation between the attributes and classes to obtain filtered attributes values, and generating a vector embedding of the filtered attributes values to obtain login vectors. The method further includes executing a sequential machine learning model on the login vectors to determine a class of the classes, and outputting the class.

Abstract: Aspects of the present disclosure provide techniques for improved text classification. Embodiments include providing, based on a text string, one or more first inputs to a summary model. Embodiments include determining, based on one or more first outputs from the summary model in response to the one or more first inputs, a summarized version of the text string. In some embodiments the summarized version of the text string comprises a number of tokens that is less than or equal to a maximum number of input tokens for a machine learning model. Embodiments include providing, based on the summarized version of the text string, one or more second inputs to the machine learning model. Embodiments include determining one or more attributes of the text string based on one or more second outputs received from the machine learning model in response to the one or more second inputs.

Abstract: A method including generating a captured facial object and a captured pose from a captured image. The method also includes obtaining a base facial object and a base pose from a base image. The method also includes generating base pose angles using the captured pose, and captured pose angles using the captured pose. The method also includes obtaining selected base images using the base pose angles and the base facial object. The method also includes generating selected captured images using the captured pose angles and the captured facial object. The method also includes comparing the selected base images to the selected captured images to establish a comparison. The method also includes outputting a match output using the comparison.

Abstract: Certain aspects of the present disclosure provide techniques for detecting sentences that are utterances by an agent indicating an intent to poach a customer. According to certain embodiments, a language model is trained using query sentences that are confirmed to be sentences used in poaching a customer, to identify semantically similar sentences in a corpus. These semantically similar sentences are then used as base sentences for comparison to sentences in a transcript. Sentences of the transcript that are found to be semantically similar to one or more base sentences are provided to a user device for review and confirmation that the similar sentence was generated by an agent in an attempt to poach a customer.

Abstract: Systems and methods for generating one or more comparative features for machine learning based classification are disclosed. A system may be configured to obtain time series data and forecast one or more predicted values based on the time series data. The system may also be configured, for each predicted value of the one or more predicted values, to compare an actual value of the time series data to the predicted value and generate a comparative value of a comparative feature based on the comparison. The comparative feature is to be provided to a machine learning model for a classification task associated with the time series data. The classification task may include determining whether one or more data values in the time series data is fraudulent based on the comparative feature.

Abstract: This disclosure provides systems, methods and apparatuses for machine learning. In some implementations, a pre-processing system may identify one or more special features in an input dataset and may generate one or more pruned datasets, respectively, based on the identified special features. The pre-processing system maps each of the pruned datasets to one or more predictions and selectively removes the values associated with one or more special features from the input dataset based on the mapping. In some other implementations, a pre-processing system may map each of the feature sets in an input dataset to multiple predictions in accordance with multiple machine learning algorithms. The pre-processing system evaluates a performance of each of the mappings and selects one of the machine learning algorithms to be used to train the machine learning model based on the performance of each mapping.

Abstract: Systems and methods for identifying solicitations of personally identifiable information (PII) are disclosed. An example method includes generating training data based on historical transcript data corresponding to solicitations of PII in historical support call transcripts, training a neural network, using the training data, to identify solicitations of PII in support call transcripts, and processing the trained neural network for deployment.

Abstract: A rail vehicle control relay board includes a main frame, a mother board and a daughter board assembly which are arranged in the main frame, the main frame includes a board face mounting frame and a daughter board mounting frame which protrudes from the board face mounting frame, the mother board is arranged in the board face mounting frame, and multiple daughter board assemblies perpendicular to the mother board are arranged side by side in the daughter board mounting frame, the daughter board assemblies are electrically connected to the mother board, and multiple first connectors configured to perform output outwards are arranged on the mother board. The rail vehicle control relay board has a high strength, and may reduce the daughter board loosening faults, extend a wiring space and increase the number of relays arranged.

Abstract: A high voltage equipment box for a rail vehicle includes a box body and electric equipment arranged in the box body, two ends of the box body in a width direction of the vehicle extend to respective skirt plates, and an avoidance gap is provided at a bottom of each of the two ends of the box body, a bottom of each of the skirt plates is fixed at the respective avoidance gap, a top of the box body extends to a position above a bottom beam of a vehicle body, and a bottom of the box body is flush with a bottom plate of the vehicle body and forms a part of the bottom plate of the vehicle body.

Abstract: A rail vehicle control relay board includes a main frame, a mother board and a daughter board assembly which are arranged in the main frame, the main frame includes a board face mounting frame and a daughter board mounting frame which protrudes from the board face mounting frame, the mother board is arranged in the board face mounting frame, and multiple daughter board assemblies perpendicular to the mother board are arranged side by side in the daughter board mounting frame, the daughter board assemblies are electrically connected to the mother board, and multiple first connectors configured to perform output outwards are arranged on the mother board. The rail vehicle control relay board has a high strength, and may reduce the daughter board loosening faults, extend a wiring space and increase the number of relays arranged.

Abstract: A high voltage equipment box for a rail vehicle includes a box body and electric equipment arranged in the box body, two ends of the box body in a width direction of the vehicle extend to respective skirt plates, and an avoidance gap is provided at a bottom of each of the two ends of the box body, a bottom of each of the skirt plates is fixed at the respective avoidance gap, a top of the box body extends to a position above a bottom beam of a vehicle body, and a bottom of the box body is flush with a bottom plate of the vehicle body and forms a part of the bottom plate of the vehicle body.

Abstract: An embodiment of the present invention relates to a weaving process of a wig, comprising the following steps: binding folio ends of a hair bulk with an elastic rope so that the folio ends of the hair bulk form a closed loop; making a hook portion of a crochet hook pass through a braid on a base body so that the hook portion is exposed out of the braid; hooking the closed loop of the end of the hair bulk with the hook portion; making the crochet hook hooking the hair bulk exit out of the braid while making the closed loop of the hair bulk pass through the braid; making the hook portion pass through the closed loop to hook the other end of the hair bulk; making the crochet hook exit out of the closed loop while making the other end of the hair bulk pass through the closed loop to bind the braid; and breaking off the hair bulk with hands, exerting force on the two portions of the hair bulk toward the outside of the hands, and making the elastic rope exit back to the braid and closely fit against the braid.

Abstract: An embodiment of the present the invention relates to the field of a wig, specifically to a non-glue pure-hair-line hair welf, wherein the hair welf comprises a string of braids, a gap is formed between hair strands of the braids, a tress is hooked and woven in the gap of the braid.

Abstract: An embodiment of the present invention relates to a weaving process of a wig, comprising the following steps: binding folio ends of a hair bulk with an elastic rope so that the folio ends of the hair bulk form a closed loop; making a hook portion of a crochet hook pass through a braid on a base body so that the hook portion is exposed out of the braid; hooking the closed loop of the end of the hair bulk with the hook portion; making the crochet hook hooking the hair bulk exit out of the braid while making the closed loop of the hair bulk pass through the braid; making the hook portion pass through the closed loop to hook the other end of the hair bulk; making the crochet hook exit out of the closed loop while making the other end of the hair bulk pass through the closed loop to bind the braid; and breaking off the hair bulk with hands, exerting force on the two portions of the hair bulk toward the outside of the hands, and making the elastic rope exit back to the braid and closely fit against the braid.