Abstract: To understand/reverse engineer the code, knowledge of cryptic terms (variable names) present in the code is mandatory. The reverse engineering to understand the code is a very complex task which has infinite variations. A method and system for identifying meaningful terms in a domain context from a plurality of cryptic forms of a variable name in a program code is provided. A machine learning model that understands the cryptic form of a variable name and relates the co-occurring cryptic terms and expands them is provided. These expanded forms of cryptic terms directly aid in understanding of each term and its usage in a more accurate way. This knowledge is used in many downstream task of reverse engineering the program code. Linking of the multiple usages of the same variable and aims to reduce the gap of naming convention mismatches introduced by developers is provided.

Abstract: Rapid development in digitization results in generation of huge amounts of unstructured text data by most organizations from several sources. A major drawback of using existing metrics in the data management is assessing quality of topics associated with context in a document. A processed dataset obtained from a raw dataset is mapped to obtain a relationship between one or more words from one or more topics. A word score is determined based on probability of number of constructs in sentences. At least one repetitive word from the one or more topics are determined. A topic score with degree of contextual association between the one or more words in each topic is determined by mean value of the word score. A contiguity score with degree of contextual association between the one or more topics is determined based on median value of the topic score to obtain one or more connected topics.

Abstract: A first device may receive a request to establish a replication session between a second device and a third device, where the replication session is associated with replicating user interactions with a user interface of an application across a first instance and a second instance of the application. The first device may receive, after receiving the request, information identifying a set of interactions by a user of the second device with a first user interface provided for display by the first instance. The first device may determine, from the information, a set of instructions related to causing an indication for the set of interactions to be provided for display on a second user interface provided for display for the second instance based on the information being received from the second device. The first device may provide, after determining the set of instructions, the set of instructions to the third device.

Abstract: Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for the generation of a recommendation for one or more resource transformation actions to be performed based at least in part on an optimized resource transformation scenario. The optimized resource transformation scenario can be identified based at least in part on a hybrid resource transformation scenario that can be based at least in part on a resource priority score for a residual resource and a downgrade-only resource transformation scenario. The downgrade set of a plurality of resources can be determined based at least in part on resource transformation data associated with the plurality of resources.

Abstract: In some implementations, a user device may present, on a user interface, an arc-shaped user interface element. The user device may detect a user interaction that indicates a first point on the arc-shaped user interface element. The user device may present, on the user interface, a first arc portion of the arc. The first arc portion may represent a first amount, of a total amount, to be associated with a first user account. A second arc portion may represent a second amount, of the total amount, associated with the second user account. The user device may transmit, to an account management device, information that identifies the first amount, of the total amount, to be associated with the first user account.

Abstract: A computer-implemented method performed by a user device is provided. The computer-implemented method includes receiving a message including an encrypted credential from a server computer; determining a response shared secret using a private key and a server public key; decrypting the encrypted credential using the response shared secret to determine a credential; obtaining a key derivation parameter from the credential; determining a first cryptogram key using the key derivation parameter; generating a first cryptogram using the first cryptogram key; and sending the first cryptogram to a second computer.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for investigating an insurance claim. A system may be configured to perform operations including establishing a video conferencing session with a mobile device associated with an insurance product and providing a user interface configured to provide a claims adjuster with remote control of a set of functions on the mobile device associated with the insurance product during the video conferencing session. The operations further include receiving, via the user interface, instructions for requesting the mobile device to perform at least one function in the set of functions on the mobile device and transmitting, to the mobile device, a request to perform the at least one function on the mobile device.

Abstract: Methods and systems disclosed herein describe tokenizing data to generate a secure token that is limited in scope (e.g., directed to a specific recipient) and limited in time (e.g., valid for only a specified period of time). A detokenization process may be employed to recover encrypted data of the secure token without the need for any relational database lookup processes, thereby reducing cost while maintaining robust protection against unintended recipients that attempt to recover the encrypted data.

Abstract: Techniques for feature-based deployment pipelines are disclosed. The feature-based deployment pipelines use a service file as well as other manifest files to set up a repository, a continuous integration service to initiate testing, and a container orchestration system to build images and establish version control over the system. The feature-based deployment pipelines invoke sequential stages to enable feature branches of an application to be fully tested before proceeding to a succeeding stage. At each stage, relevant stakeholders are able to evaluate the new features before they become part of the master image of the tested application. A variety of validation and performance tests are conducted at each stage, resulting in a fully vetted application available for a consumer.

Abstract: A computer implemented method for masking a primary account number between a party and a service provider. A plurality of transaction records from a database is retrieved. A masking value is generated in response to having a first hash function executed on a primary account number. The receiving, at the service provider, the masking value from the client execution environment without the primary account number; wherein the server execution environment lacks identification of the affiliation between the primary account number and the party. Upon confirming that the first hash function is identical to the second hash function, matching the masking value to the second masking value. In response to a match, querying the database for transaction history associated with the masking value. An analysis report is generated.

Abstract: Systems and methods are configured to determine whether a particular information object is a duplicate of an object found in separate information objects. In various embodiments, the particular information object and each separate information object includes a set of data fields for storing data values that allows identical values to be stored in different fields for the objects. The data values for the particular information object are combined to form a data structure that includes a data element for each value. A determination as to whether the particular information object is an exact or partial match of a separate information object is made by performing a function on the data structure for the particular information object and a data structure for the separate information object to identify an intersection that includes data values for the particular information object that have an identical match with values for the separate information object.

Abstract: Systems and methods for performing a contamination estimation of a downhole sample comprising at least a formation fluid and/or a filtrate are provided. A plurality of downhole signals are obtained from the downhole sample and one or more of the signals are conditioned. At least two of the conditioned signals or downhole signals are fused into a multivariate dataset. From optical and density properties of the formation fluid and/or of the filtrate, a multivariate calculation is performed to generate concentration profiles of the formation fluid and the filtrate.

Abstract: Systems and methods for contactless authorization using voice recognition is disclosed. The system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving user data comprising a user identifier, an audio data having a first data format, and a client device identifier. The operations may include generating a processed audio data based on the received audio data. The processed audio data may have a second data format. The operations may include transmitting, to a speech module, the processed audio data. The operations may include receiving from the speech module, a voice match result. In some embodiments, the operations include authenticating a user based on the voice match result and transmitting, to a client device associated with the client device identifier, a client notification comprising a result of the authentication.

Abstract: The disclosure generally relates to methods and systems for identifying presence of abnormal heart sounds from heart sound signals of a subject being monitored. Conventional Artificial intelligence (AI) based abnormal heart sounds detection models with supervised learning requires a substantial amount of accurate training datasets covering all heart disease types for the training, which is quiet challenging. The present methods and systems solve the problem solves the problem of identifying presence of the abnormal heart sounds using an efficient semi-supervised learning model. The semi-supervised learning model is generated based on probability distribution of spectrographic properties obtained from heart sound signals of healthy subjects. A Kullback-Leibler (KL) divergence between a predefined Gaussian distribution and an encoded probability distribution of the semi-supervised learning model is determined as an anomaly score for identifying the abnormal heart sounds.

Abstract: Systems and methods are disclosed for providing a CI/CD pipeline that decouples delivery of product configuration changes from code and similar changes, otherwise bundled/handled together with such configuration changes, for delivery to a running application in production. An exemplary method may include configuring components of CI/CD application in production to subscribe to application updates during runtime; processing an update to the application; processing/handling the update to process only configuration changes for propagation to subscribed components; validating the configuration changes; and instructing a workflow engine to: determine whether the configuration changes are needed for each component, update the components in runtime memory, if so, and provide the validated changes as an update in a next processing cycle to deploy such changes during the runtime.

Abstract: Performance optimization of power plants is one of the major challenges. Several machine learning based techniques are available which are used for optimization of the power plants. Coal selection and blending is critical to ensuring optimum operation of thermal power plants. The present disclosure provides a system and method for optimum coal selection for the power plant and power plant optimization. The system mainly comprises two components. First, a coal usage advisory module providing coal usage and blending ratio advice to the operators based on the available coal. The optimization is with respect to the entire power plant operation including its components. And second, a performance optimization advisory module provides operation instruction for boiler, SCR, APH and other power plant equipment based on the implemented coal blend in real-time.

Abstract: A fluid permeable heater assembly for an aerosol-generating system includes a base including an opening through the base and an electrically conductive filament arrangement over the opening. The base includes a solid aerosol-forming substrate on the base. A cartridge includes a cartridge body including a reservoir within the cartridge body. A heater assembly is arranged at one end of the cartridge body.

Abstract: Systems and methods for an intelligent collection box are provided. Implementations of the intelligent collection box include a processor, a computer-readable data storage system storing program instructions, a weighing scale, a display, a speaker, a microphone, a network interface, and a power generator. The program instructions, when executed by the processor, cause the intelligent collection box to perform operations including identifying keywords spoken by the user. The operations also include authenticating the user using the keywords. The operations also include determining a request for delivery of an item based on the keywords. The operations also include responding to the request for delivery. The operations also include determining a weight of the item. The operations also include determining delivery options for the item using the weight and using delivery information. The operations also include determining that the item has been received by the collection box.