Abstract: Systems and methods are provided for providing a zero touch operations and self-healing data platform. Initially, data corresponding to a mobile communications network is received from a plurality of sources. A machine learning model is trained to detect anomalies corresponding to the data. Upon detecting an anomaly, self-remediation is initiated. Upon determining the self-remediation exceeds a configurable number of attempts or duration, an action is automatically performed. In various aspects, the action includes automatically initiating an alert corresponding to the anomaly or automatically creating a ticket corresponding to the anomaly.

Abstract: Systems and methods are disclosed for determining a visual indicator for a package based on a delivery address for the package and a location of the delivery address along a delivery route. An optimized delivery route may be created for packages to be delivered at a given time. At the fulfillment center, a delivery system may label a package prior to loading the package on a delivery vehicle. The delivery system may determine the appropriate visual indicator (e.g., color and/or pattern) or the visual indicator may be randomly selected. The delivery system may generate a label having the visual indicator. The package may be deposited into a certain bin with other packages having a delivery address in close proximity. The delivery system may generate a user interface on a user device that indicates that the package has a certain visual indicator to facilitate sorting and identification of the package.

Abstract: Provided is a method and system for analysing images of a retina captured by an Optical Coherence Tomography (OCT) scanner. In some examples, an image of a retina of a patient from an OCT scanner is received; boundaries between layers are segmented for each of the pixels; the layers are determined using the segmented boundaries; regions of pathology are segmented for each of the pixels; a location of the regions of pathology are determined with respect to the determined layers using the segmented regions; the regions of pathology are determined using the segmented regions and the determined location of the regions; a property of the regions of pathology are determined using the segmented regions; results of determinations of the regions of pathology and the property of the regions to derive an assessment are analysed; and the assessment are output.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: An example system for co-liquefying feedstock and yellow grease includes: a feedstock container to contain a feedstock; a yellow grease container to contain a yellow grease; a hydrothermal liquefaction system configured to receive feedstock from the feedstock container and to receive yellow grease from the yellow grease container; the feedstock received by the hydrothermal liquefaction system and the yellow grease received by the hydrothermal liquefaction system to become a mixture; a controller connected to the feedstock container and the yellow grease container, the controller configured to control the amount of the feedstock supplied from the feedstock container to the hydrothermal liquefaction system, the controller further configured to control the amount of the yellow grease supplied from the yellow grease container to the hydrothermal liquefaction system to be between 10% to 50% of the mixture; and a collector configured to receive a bio-crude from the hydrothermal liquefaction system.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: The present invention relates to a method and system for analysing images of a retina captured by an Optical Coherence Tomography (OCT) scanner. The method includes: receiving an image of a retina of a patient from an OCT scanner; segmenting boundaries between layers of the retina for each of the pixels; determining the layers of the retina using the segmented boundaries; segmenting regions of pathology of the retina for each of the pixels; determining a location of the regions of pathology with respect to the determined layers of the retina using the segmented regions; determining the regions of pathology using the segmented regions and the determined location of the regions; determining a property of the regions of pathology of the retina using the segmented regions; analysing results of determinations of the regions of pathology and the property of the regions to derive an assessment of the retina of the patient; and outputting the assessment of the retina of the patient.

Abstract: A computer includes a processor that is programmed to receive input specifying a component in a vehicle and data specifying a location of a wearable device in the vehicle. The processor is programmed to determine a distance of the wearable device from a location of the component and actuate the wearable device to provide haptic output based on the determined distance.

Abstract: Methods and systems of analyzing images of a retina captured by an Optical Coherence Tomography (OCT) scanner are disclosed. The methods and systems use a processor configured to implement a series of instructions that include creating a training set of images of a retina of a patient captured by an OCT scanner including labeled regions of diffuse intraretinal fluid (DIRF) such as by assessing maximum and minimum regions of DIRF and regions of pathology of the retina to generate a model, and analyzing the DIRF region or regions of pathology by the model to derive an assessment of the retina of the patient. The assessment of the retina enables, for instance, the treatment of the patient's retina to be evaluated and determined.

Abstract: A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

Abstract: A computer is programmed to receive biometric data, from a transdermal patch in a vehicle during operation of a vehicle, wherein the biometric data include a measurement of a chemical. The computer is programmed to actuate a vehicle component, upon determining from a combination of the measurement of the chemical and vehicle operating data that a risk threshold is exceeded.

Abstract: A computer includes a processor that is programmed to receive input specifying a component in a vehicle and data specifying a location of a wearable device in the vehicle. The processor is programmed to determine a distance of the wearable device from a location of the component and actuate the wearable device to provide haptic output based on the determined distance.

Abstract: A system, including: one or more sensors included in an apparatus wearable by a vehicle operator to measure ocular muscle movement; and a computer that includes a processor and a memory, the memory storing instructions executable by the computer such that the computer is programmed to: receive data indicating ocular muscle movement from the wearable sensor; determine, using the measurement, a gaze direction of the operator; use the gaze direction to determine a level of operator attentiveness; and actuate a vehicle operation if the level of operator attentiveness is below a predetermined threshold.

Abstract: A computer includes a processor that is programmed to receive data including a current user biometric data and vehicle operating data. The processor is programmed to determine a user workload value based on the received data and a workload determination classifier that is based on received data including workload values collected from a plurality of tests of test users driving along one or more routes. The processor is programmed to cause an action in the vehicle according to the determined workload.

Abstract: A wearable computing device in a vehicle is identified by a computer in a vehicle. Collected data is received relating to autonomous operation of the vehicle. A message is sent to the wearable computing device based at least in part on the collected data.

Abstract: A system, including: one or more sensors included in an apparatus wearable by a vehicle operator to measure ocular muscle movement; and a computer that includes a processor and a memory, the memory storing instructions executable by the computer such that the computer is programmed to: receive data indicating ocular muscle movement from the wearable sensor; determine, using the measurement, a gaze direction of the operator; use the gaze direction to determine a level of operator attentiveness; and actuate a vehicle operation if the level of operator attentiveness is below a predetermined threshold.

Abstract: Systems and methods are disclosed for integrated on-board data collection from a solitary driver in a vehicle. An example disclosed includes cameras, a glove with first and second sensors, a vest with third and fourth sensors, and a sensor electronic module. The example sensor electronic module is communicatively coupled to the cameras, the glove, the vest, and a diagnostic port of a vehicle. The sensor electronic module monitors and records data from the cameras, the first second, third and fourth sensors, and electronic control units of the vehicle.

Abstract: A system includes a processor configured to predict upcoming driver behavior based on a correlation between received context variables and previously observed driver behavior. The processor is also configured to request confirmation that predicted behavior is intended by a driver. Further, the processor is configured to change an in-vehicle display to include a control or feature relevant to the predicted behavior, upon confirmation receipt.

Abstract: A user gesture is detected based on received data from one or more motion sensors. User gesture attributes are identified including at least one of hand vectoring, wrist articulation, and finger articulation from the gesture including respective movements of each of a plurality of a user's fingers. Based on the gesture attributes, a user and an action to be performed in a vehicle are identified. The action is performed in the vehicle to control at least one vehicle component based on the gesture.