Abstract: Computing resources for anomaly detection on time series data using a machine learning model may be dynamically provisioned. An expected workload of anomaly detection on time series data is determined in order to determine a number of computing resources. The number of computing resources are provisioned for anomaly detection and updated when the machine learning model is re-trained.

Abstract: A lubricating oil composition configured for lubricating an internal combustion engine fueled with an alternative fuel having an auto-ignition temperature greater than about 700K. The lubricating oil composition includes at least a detergent system including at least one overbased metal-containing sulfonate detergent, at least one neutral to low-based metal containing sulfonate detergent, and at least one overbased metal-containing phenate detergent where the metal provided from the overbased sulfonate detergent is correctly balanced relative to the total detergent metal and/or the composition total base number.

Abstract: A wireless node may one or more memories, individually or in combination, having instructions. A wireless node may one or more processors, individually or in combination, configured to execute the instructions and cause the wireless node to: output, for transmission via a link, signaling comprising a first protocol data unit (PDU); and output, for transmission, a reference signal, the output being based on satisfaction of a first condition associated with a signal quality metric associated with the link.

Abstract: A lubricating oil composition configured for lubricating an internal combustion engine fueled with an alternative fuel having an auto-ignition temperature greater than about 700K. The lubricating oil composition includes at least a detergent system including at least one overbased metal-containing sulfonate detergent, at least one neutral to low-based metal containing sulfonate detergent, and at least one overbased metal-containing phenate detergent where the metal provided from the overbased sulfonate detergent is correctly balanced relative to the total detergent metal and/or the composition total base number.

Abstract: A lubricating oil composition configured for lubricating an internal combustion engine fueled with an alternative fuel having an auto-ignition temperature greater than about 700K. The lubricating oil composition includes at least a detergent system including at least one overbased metal-containing sulfonate detergent, optionally at least one neutral to low-based metal containing sulfonate detergent, and where the metal provided from the overbased sulfonate detergent is balanced relative to the total detergent metal and/or the composition total base number.

Abstract: Disclosed is an apparatus (600) configured to generate a plurality of embedded Subscriber Identity Module (eSIM) profiles based on one or more preconfigured parameters. The apparatus (600) is configured to receive, from an operator entity (108), an update order function including at least one of a file ID, a profile type, an ICCID number, a home IMSI number, a roaming IMSI number, and a MSISDN. Thereafter, the apparatus (600) is configured to validate the at least one of the file ID, the ICCID number, the profile type, the home IMSI number, the roaming IMSI number, and the MSISDN number. In response to a successful validation, the apparatus (600) is configured to update one of eSIM profile with the at least one of the file ID, the ICCID number, the home IMSI number, the roaming IMSI number, and the MSISDN number.

Abstract: A Subscriber Identity Module (SIM) application management system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for: receiving a SIM application from a SIM application provider, obtaining a subscriber list including at least one subscriber from a mobile network operator; receiving an instruction directly from the SIM application provider; and customizing a SIM card of a mobile device associated with the at least one subscriber with the SIM application according to the instruction.

Abstract: Provided is a system to provide natural utterance by a voice assistant and method thereof, wherein the system comprises an automatic speech recognition module for converting one or more unsegmented voice inputs into textual format in real-time. Further, a natural language understanding module extracts the information and intent of the user from the converted textual inputs, wherein the natural language understanding module comprises a communication classification unit for classifying the user inputs into one or more pre-defined classes. Further, the system comprises a processing module for analyzing and processing the inputs from the natural language understanding module and activity identification module, wherein the processing module provides real-time intuitive mingling responses based on the responses, contextual pauses and ongoing activity of the user.

Abstract: A seamless eSIM profile transition is provided at Subscription Management Data Preparation (SMDP+) server via Over-The-Air (OTA) server. A request to download a profile package to an embedded Universal Integrated Circuit Card (eUICC) of a user equipment (UE) is received. The profile package is sent to the eUICC. A device capability of the eUICC is determined, e.g., whether the device is 4G capable or 5G capable. Based on the determined device capability of the eUICC; a request is sent to an OTA server to configure the eUICC according to the determined device capability.

Abstract: A device profile provisioning system is provided. A Subscription Management Data Preparation (SM-DP+) server receives a request to download a profile package to an embedded Universal Integrated Circuit Card (eUICC) of a user equipment (UE). The SM-DP+ server sends the profile package to the eUICC. The SM-DP+ server determines whether the profile package is in an error state. The SM-DP+ resets the profile package to be in a released state to download in response to the SM-DP+ determining the error state. The SM-DP+ sends a notification to an end user informing the end user the profile package is available to download.

Abstract: The present disclosure provides for methods of improving the performance of a combustion engine after-treatment device, such as particulate filters and/or three-way catalyst systems, over its useful life by using a lubricating oil composition including one or more base oils of lubricating viscosity and an additive package with increased amounts of least one oil-soluble silicon-containing compound.

Abstract: A method for decoding an audio query may include: extracting one or more acoustic features from the audio query in response to receiving the audio query from a user; determining a generic word and a domain specific word based on the one or more acoustic features; and decoding the audio query based on the generic word, the domain specific word, and the one or more acoustic features to identify at least one word associated with the audio query.

Abstract: A system and method for generating an optimized image with scribble-based interactive image segmentation model using a machine learning are provided. The method includes, (i) segmenting, using a machine learning model, an image to classify into classes each class is represented with a label, (ii) displaying the classified image which specifies the classes on the classified image with outlines, (iii) enabling a user to scribble on the classified image to annotate the classes if an area is not classified, (iv) assigning a color mask for each scribbled area, (v) computing, using the machine learning model, a loss function for a location of pixels based on color mask, (vi) modifying pre-defined weights for each scribbled area to match the annotated image and a determined class on the classified image, and (vii) generating the optimized image if the annotated image is matched with the determined class on the classified image.

Abstract: The present disclosure relates to lubricating compositions and methods of lubricating a spark-ignition engine effective to depress low-speed pre-ignition (LSPI) events and to maintain low foaming and/or aeration through selected silicon chemistries and treat rates.

Abstract: Methods, systems, and devices for wireless communications are described. In some aspects, a user equipment (UE) may be configured with multiple bandwidth parts (BWPs) and may support multiple subscriber identification modules (SIMs) (e.g., may operate in a multi-SIM (MSIM) mode). The UE may tune away from a default data SIM (DDS) subscription for a tune away gap and may miss any downlink signaling, such as an indication of a BWP switch, for a duration of the tune away. To avoid latency resulting from such missed downlink signaling, the UE may support a mechanism according to which the UE may autonomously switch to a different BWP despite a missed command from a network entity. Such a mechanism may include transmission of a scheduling request (SR) on each of multiple BWPs configured for the UE and monitoring each of the multiple BWPs for signaling responsive to the SR.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may select information indicating a request or a notification that is independent of a request for an uplink grant. The UE may transmit the information in a message associated with a scheduling request. Numerous other aspects are described.

Abstract: A seamless eSIM profile transition is provided at Subscription Management Data Preparation (SMDP+) server via Over-The-Air (OTA) server. A request to download a profile package to an embedded Universal Integrated Circuit Card (eUICC) of a user equipment (UE) is received. The profile package is sent to the eUICC. A device capability of the eUICC is determined, e.g., whether the device is 4G capable or 5G capable. Based on the determined device capability of the eUICC; a request is sent to an OTA server to configure the eUICC according to the determined device capability.

Abstract: Disclosed herein are systems and methods that identify and improve upon false positive scores. Some embodiments may include artificial neural network learning methods that utilize data input from users as well as enterprise machines. Information, such as transaction timing, prior transaction data, and demographics, may be taken as inputs to the neural network processing. The processing may be done on one or more neural network computers or nodes.

Abstract: A Subscriber Identity Module (SIM) application management system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for: receiving a SIM application from a SIM application provider, obtaining a subscriber list including at least one subscriber from a mobile network operator; receiving an instruction directly from the SIM application provider; and customizing a SIM card of a mobile device associated with the at least one subscriber with the SIM application according to the instruction.

Abstract: The present disclosure provides for methods of improving the performance of a combustion engine after-treatment device, such as particulate filters and/or three-way catalyst systems, over its useful life by using a lubricating oil composition including one or more base oils of lubricating viscosity and an additive package with increased amounts of least one oil-soluble silicon-containing compound.