Abstract: A method for prioritizing and contextualizing user data on a user equipment, includes: identifying a plurality of parameters associated with user behavior by analyzing at least one of entities, relations, and contexts in structured user data using a machine learning (ML) model; identifying at least one behavioral pattern of the user behavior based on the plurality of parameters; mapping the at least one behavioral pattern to the contexts; prioritizing the entities and the relations based on the mapped at least one behavioral pattern; predicting, using the ML model, a plurality of chains of thought based on priority of the entities and the relations; identifying a chain of thought having a highest probability of occurrence, among the plurality of chains of thought, by comparing the plurality of chains of thought using the ML model; and prioritizing and contextualizing the user data based on the chain of thought having the highest probability of occurrence.

Abstract: A method of applying secrecy settings on a user device is provided. The method includes monitoring, by the user device, user activity data based on usage of one or more applications of the user device, determining, by the user device, whether a user is exhibiting a secretive behavior based on the user activity data and historical behavior of the user, extracting, by the user device, contextual information from other applications, determining, by the user device, whether the contextual information is related to the user activity data, processing, by the user device based on the secretive behavior, the contextual information to provide at least one data stream and at least one attribute associated with the contextual information, determining, by the user device, a predefined secrecy type based on an analysis of the at least one data stream and the at least one attribute, and applying, by the user device, secrecy settings on the user device based on the predefined secrecy type.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable effective and efficient solutions for designing software architecture of collaborative software application frameworks. For example, certain embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable communications between a collaboration service computing device and a set of m service components via m service plugins comprising internal service plugins and external service plugin, where each service plugin comprises an asynchronous processing queue and a continuous execution thread.

Abstract: A method for processing media data in a virtual reality (VR) environment, includes receiving the media data associated with the VR environment; obtaining low-resolution media data of the VR environment from the media data based on network bandwidth capabilities associated with a user device of a user; identifying at least one region within the low-resolution media data based on contextual information associated with the user in the VR environment; and obtaining high-resolution media data corresponding to the low-resolution media data, the high-resolution media data being associated with the at least one region.

Abstract: The present disclosure relates to a method of separation of charged substances by electrophoresis by using an inorganic thread. It includes contacting an electrolyte with an outer surface of the inorganic thread to cause wetting the outer surface of the inorganic thread and wicking along the inorganic thread, loading the charged substances into the electrolyte wetting the outer surface of the inorganic thread in the region of a loading zone portion of the inorganic thread and applying an electric field across the length of inorganic thread to cause the charged substances to be separated along the inorganic thread under the influence of the electric field. The present disclosure also relates to a method for the electrophoretic transfer of a charged substance from a sample on a sample applicator to an inorganic thread and to a method of stripping an outer surface coating from an inorganic thread having an outer surface coating. Related systems and components are also disclosed.

Abstract: The present disclosure relates to a method for the production of an inner surface coating on an enclosed article, such as a capillary. the method comprising vaporizing a first monomer and reacting the vaporized first monomer with the inner surface of an enclosed article to provide a monomer layer on the inner surface of the enclosed article. Also disclosed are coated enclosed articles and apparatus for performing the method.

Abstract: A method for enhancing image quality using an electronic device is provided. The method includes receiving, by the electronic device, an image frame from a network, monitoring, by the electronic device, a network parameter of the network, determining, by the electronic device, a context of the electronic device, identifying, by the electronic device, a visual degradation in the image frame based on the monitored network parameter and the context of the electronic device, and modifying, by the electronic device, a visual quality factor of the image frame based on the visual degradation in the image frame for enhancing the image quality.

Abstract: The present disclosure provides a method for intelligent user localization in a metaverse, including: detecting movements of a wearable head gear configured to present virtual content to a user, and generating sensor data and visual data using an inertial sensor and a camera, respectively, mapping the visual data to a virtual world using an image associated with the visual data to localize the user in the virtual world; providing the visual data and the sensor data to a first Machine Learning (ML) model and a second ML model, respectively; extracting a plurality of key points from the visual data and distinguishing stable key points and dynamic key points; and removing visual impacts corresponding to the visual data having a relatively low weightage, and providing a relatively high weightage to the sensor data processed through the second ML model.

Abstract: The present disclosure provides a method for intelligent user localization in a metaverse, including: detecting movements of a wearable head gear configured to present virtual content to a user, and generating sensor data and visual data using an inertial sensor and a camera, respectively, mapping the visual data to a virtual world using an image associated with the visual data to localize the user in the virtual world; providing the visual data and the sensor data to a first Machine Learning (ML) model and a second ML model, respectively; extracting a plurality of key points from the visual data and distinguishing stable key points and dynamic key points; and removing visual impacts corresponding to the visual data having a relatively low weightage, and providing a relatively high weightage to the sensor data processed through the second ML model.

Abstract: Embodiments herein provide a method for authenticating wireless devices. The method includes generating, by a first wireless device, first biometric data of a user based on a user input. The method further includes determining, by the first wireless device, at least one standard parameter of a first wireless signal being generated by the first wireless device. The method further includes modifying, based on the first biometric data, the at least one standard parameter of the first wireless signal resulting in a second wireless signal. The method further includes transmitting, by the first wireless device to a second wireless device, the second wireless signal, based on a match between the at least one standard parameter of the second wireless signal and at least one reference parameter of a third wireless signal that has been pre-stored in the second wireless device.

Abstract: The present disclosure relates to organosilicon preceramic resin compositions for forming porous polymer-derived ceramic materials. It also relates to porous organosilicon polymer-derived ceramic materials, and methods for forming porous organosilicon polymer-derived ceramic materials.

Abstract: The present disclosure relates to organosilicon preceramic resin compositions for forming polymer-derived ceramic materials, especially high-shrinkage polymer-derived ceramic materials. It also relates to organosilicon polymer-derived ceramic materials articles and methods for their formation.

Abstract: Disclosed are a method and system for generating suggestions to enhance illumination in a video stream including receiving one or more image frames corresponding to the video stream, identifying, based on the one or more image frames corresponding to the video stream, an object in focus and a corresponding position of the object, identifying one or more light characteristics surrounding the identified object in focus to identify a position of at least one light source illuminating the identified object in focus, identifying one or more frame quality features associated with the video stream based on at least one of the position of the object in focus or the position of the at least one light source, and identifying one or more adjustment parameters corresponding to the one or more frame quality features for generating suggestions for the user to enhance illumination of the identified object in focus in the video stream.

Abstract: The disclosure provides a method for receiving a query from a user of the electronic device, wherein the query is one of a voice query, a gesture query and a text query; determining an intermediate response for an augmented query; categorizing, by the electronic device, the intermediate response; selecting at least one other user communicating with the user of the electronic device for the determined category of the intermediate response; determining a perception of the at least one other user based on a profile of the at least one other user and a communication history with the at least one other user; and generating, by the electronic device, a final response for the user of the electronic device based on the perception of at least one other user and the determined intermediate response.

Abstract: The present disclosure relates to a method and a system for authenticating a virtual representation of a user in a virtual environment. The method may include receiving an authentication request to authenticate the virtual representation of the first user in the virtual environment; based on the virtual representation of the first user being an authenticated virtual representation of the first user, extracting one or more authentication parameters embedded within the virtual representation of the first user; and displaying, in the virtual environment, authentication information of the virtual representation of the first user based on the one or more authentication parameters.

Abstract: A method for providing an adaptive user interface (UI) navigation on a user equipment (UE) using a machine learning (ML) model is provided.

Abstract: Various embodiments of the present invention provide methods, apparatuses, computing devices, and/or the like that are configured to perform software application framework monitoring using alert signatures for the software applications that are generated by at least one of: (i) a conditional ensemble machine learning framework comprise one or more alert priority score generation machine learning models, one or more alert priority explanation generation machine learning models, and a conditional ensemble machine learning model that is configured to generate an explanation-inclusive alert signature if a deep-learning-based alert priority score generated by the alert priority score generation machine learning models is identical to a decision-tree-based alert priority designation generated by the alert priority explanation generation machine learning models, and (ii) a set of alert priority score adjustment models such as an entity-based alert priority score adjustment model, a temporal alert priority score adju

Abstract: A method for preventing data leakage may include: identifying data that is generated by at least one framework application in response to a data request from a first machine learning (ML) engine of a plurality of ML engines; creating a plurality of data blocks based on the generated data, a category of the first ML engine, and a tag associated with the first ML engine and the at least one framework application; determining whether the plurality of data blocks are valid to share with the first ML engine using an activity block chain associated with each of the plurality of framework applications; based on the plurality of data blocks being valid, sharing the plurality of data blocks with the first ML engine, and otherwise discarding the plurality of data blocks not to share with the first ML engine.

Abstract: A method, an electronic device and a non-transitory computer readable medium for securing sensor data are provided. The method comprises: obtaining context information by fetching a plurality of sensor data by a plurality of applications, mapping the plurality of sensor data to the plurality of applications and storing the mapped plurality of sensor data, generating pre-processed information based on the context information and the mapped plurality of sensor data, creating an inference category of the pre-processed information based on the pre-processed information and information from a database, and predicting at least one useful inference and at least one harmful inference of the plurality of sensor data based on the inference category, the context information and the plurality of sensor data.

Abstract: Disclosed are various embodiments for accelerating transactions and managing cashflow by predicting and crediting payment amounts for requests for payments that are satisfied by third party providers (e.g., insurance providers, claim payment providers, etc.). A user who is a registered participant in an accelerated transaction program can submit a claim to a claim payment provider requesting payment or reimbursement of funds associated with an event. While waiting for the claim payment provider to process the claim, trained models can be used to analyze the claim data, user data, claim payment provider data, historical data, and/or other information to (1) predict whether the claim will be approved by the claim payment provider and (2) estimate an amount that will be provided to the medical provider by claim payment provider. The user can be credited for the predicted amount while waiting for the claim to be processed.