Abstract: A training server includes one or more processors configured to determine a plurality of crop image data variation classifications representative of real-world variations in physical appearance of a crop plant as well as a surrounding area around the crop plant. A first set of input color images is selected from first training dataset and a plurality of different image level augmentation operations are executed to obtain an augmented set of color images. Noisy images are identified and filtered from a second training dataset and a third training dataset comprising noise filtered images from the second training dataset is obtained. The third training dataset is split into a plurality of different classes for data balancing across the plurality of different classes and a neural network model in a first stage is trained on the third training dataset.

Abstract: An energy storage tank defining a tank volume for heat transfer fluid and comprising a partition dividing the tank volume into a first volume and a second volume, wherein the partition is movable to/from any position between a minimum energy storage position corresponding to a minimum second volume, and a maximum energy storage position corresponding to a maximum second volume, the energy storage tank further comprising a biasing device being arranged such that movement of the partition away from the minimum energy storage position corresponds to storing energy in the biasing device, and movement towards the minimum energy storage position corresponds to releasing energy from the biasing device.

Abstract: Systems and methods are described for accessing resources of a Unified Endpoint Management (“UEM”) system through an enrolled device. In an example, an unenrolled device can be paired with an enrolled device. The unenrolled device can connect to the enrolled device on a local network. The enrolled device can verify the unenrolled device using a key provided during pairing. The unenrolled device can send requests for UEM resources to the enrolled device, which the enrolled device can send to a UEM server. The UEM server can send the requested UEM resources to the enrolled device, and the enrolled device can send the UEM resources to the enrolled device over the local network.

Abstract: A method for facilitating automated scoring of software development tasks by using predictive analytics is disclosed. The method includes receiving, via a graphical user interface, search requests for various tasks; aggregating raw data that corresponds to the tasks, the raw data including information in a natural language format; generating structured data sets from the raw data based on predetermined parameters; determining, by using a first model, a task score for each of the tasks based on the structured data sets; determining, by using a second model, a confidence score for the task score; and computing predictive outputs for the tasks based on the corresponding task score and the corresponding confidence score.

Abstract: A short circuit diagnostic method for a vehicle fuel cell system includes supplying a first electric voltage to a first electric input and a second electric voltage to a second electric input, the second electric voltage being different from the first electric voltage, measuring a voltage difference between the first electric input and the second electric input, comparing the voltage difference with a threshold voltage, and determining that a fuel cell system short circuit is present should the voltage difference be below the threshold voltage.

Abstract: This disclosure relates to systems and methods for multi-utterance generation of data. Embodiments of the present disclosure utilizes a smart framework that is capable of generating contextually relevant utterances with immutability regulation and punctuation-memory. More Specifically, the present disclosure generates multiple syntactically and semantically correct utterances for text input data in such a way that a provision to selectively maintain or regulate phrases or words intact is provided and punctuation consistency is maintained.

Abstract: Systems and methods for image processing are configured. Embodiments of the present disclosure identify target style attributes and target structure attributes for a composite image; generate a matrix of composite feature tokens based on the target style attributes and the target structure attributes, wherein subsequent feature tokens of the matrix of composite feature tokens are sequentially generated based on previous feature tokens of the matrix of composite feature tokens according to a linear ordering of the matrix of composite feature tokens; and generate the composite image based on the matrix of composite feature tokens, wherein the composite image includes the target style attributes and the target structure attributes.

Abstract: A method, apparatus, non-transitory computer readable media, and system for image generation include obtaining an input text prompt and an indication of a level of a target characteristic, where the target characteristic comprises a characteristic used to train an image generation model. Some embodiments generate an augmented text prompt comprising the input text and an objective text corresponding to the level of the target characteristic. Some embodiments generate, using the image generation model, an image based on the augmented text prompt, where the image depicts content of the input text prompt and has the level of the target characteristic.

Abstract: A computer-implemented system for streamlining encryption payload of a card transaction from a transaction code transaction via a merchant inside a restricted computer network firewall. A wallet application stores data of a payment device, and the wallet application retrieves information of a merchant and a transaction via a transaction code. In response to the retrieved information, the wallet application generates an encrypted payload. The wallet application transmits the encrypted payload to a payment facilitator within the restricted computer network firewall. After decryption of the encrypted payload, the payment facilitator transmits a decrypted payload in one payment packet to the payment processing server outside the restricted computer network firewall.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: A requirements to test (R2T) system is implemented, which provides an automated system by which a user interface (UI)-test automation script package is generated and the generated test scripts therein are executed against software. A visualized workflow is translated into some machine-consumable formatted file. The translated workflow is utilized by an artificial intelligence driven automated R2T engine to discover paths through the workflow, a series of executable steps for the paths that detail how the software will be used, and ultimately test scripts that are generated using pre-defined validation templates. An automation platform executes the test scripts through the software associated with the workflow, which automatically captures evidence of the executed test scripts to fulfill computer system validation requirements. The R2T system provides an automated solution for test script creation and system validation to expedite the validation process and thereby streamline a software's time to market.

Abstract: A system for load management in a shared address networking architecture includes a primary point-of-presence (POP) group of servers configured to serve content of a domain and that are each reachable at an address of a first IP address block and a secondary PoP group of servers configured to serve the content of the domain and that are each reachable at an address of a second IP address block. The system further includes a traffic management agent configured to reduce a total volume of incoming requests received by the primary PoP group for a period of time following a return of a first server in the primary PoP group of servers to an online state by selectively directing a first percentage of the incoming requests to the second IP address block instead of the first IP address block.

Abstract: Sense+compute (S+C) quantum-state carriers (QSCs), e.g., rubidium atoms, can be used provide more scalable quantum sensor systems. Multiple S+C QSCs can capture sensor data. The sensor data can then be transformed in the quantum domain according to a quantum tomographic protocol. The transformed data can be measured to provide a respective classical domain measurement. The sensing, transformation, and measurement can be repeated to provide a set of measurements (corresponding to different transformations) that can be combined according to the quantum tomography protocol to generate a model of the original quantum state. Estimation error associated with the model can be scaled down at a rate corresponding more closely to increases in the number N of QSCs than ?{square root over (N)}, even in the presence of noise.

Abstract: Disclosed are methods, systems, and computer-readable media to perform operations including: receiving an uplink grant associated with pre-scheduling from a base station; in response to the uplink grant, transmitting first data having a first priority to the base station; determining whether there is a remaining uplink resource associated with the uplink grant; and in response to determining that there is the remaining uplink resource, transmitting second data having a second priority to the base station using the remaining uplink resource, wherein the second priority is lower than the first priority.

Abstract: Apparatuses, systems, and methods for QoS impact mitigation during unavailability of RAN support of network slicing, e.g., in 5G NR systems and beyond. A UE may determine, while connected to a first cell of a network, whether handover instructions include DRB setup instructions on a second cell of the network for a PDU session established towards a first network slice on the first cell. The UE may, upon expiration of a timer initiated in response to the determination and/or confirmation that the second cell does not support network slicing, route, upon determining that there is not a neighboring cell that supports the first network slice and/or that there is not a routing rule for the first network slice that allows routing of traffic to another established DRB, user plane traffic to an eMBB DRB.

Abstract: Apparatus and methods digital audio bus reliability are disclosed. In certain embodiments, a digital audio system includes a plurality of audio devices connected by a first digital audio chain in a clockwise direction and a second digital audio chain in a counterclockwise direction. The first digital audio chain and the second digital audio chain run concurrently, and a controller selects which audio chain to operate at a given time for audio connectivity. For example, the controller can initially select the first digital audio chain to provide audio connectivity, but transition selection from the first digital audio chain to the second digital audio chain in response to detecting a node failure in the first digital audio chain. Thus, the system is tolerant to node failures while maintaining system connectivity.

Abstract: Various embodiments include methods and devices for implementing scaling memory frequency configuration by a computing device. Embodiments may include comparing at least a memory refresh rate, a memory size, at least one use case bandwidth of transmission between the memory and a system on chip (SoC), and a use case latency of transmission between the memory and the SoC with at least one stored memory refresh rate, at least one stored memory size, at least one stored use case bandwidth of transmission between the memory and the SoC, and at least one stored use case latency of transmission between the memory and the SoC, selecting a memory frequency based on a result of the comparison, and configuring the memory for the memory frequency. Some embodiments may include issuing an alarm indicating changing the use for the memory to be able to achieve a use case parameter.

Abstract: Methods and systems are provided for sample preparation techniques and sequencing of macromolecular constituents of cells and other biological materials.

Abstract: Methods and systems are provided for sample preparation techniques and sequencing of macromolecular constituents of cells and other biological materials.