Abstract: Systems, methods and computer program products for sample efficient training of machine learning models are provided. A process may proceed, starting with an initial set of labeled examples and the initial set of unlabeled examples, to label unlabeled examples in an iterative manner, with the input dataset for a next iteration comprising an augmented set of labeled examples from a current iteration and selected unlabeled examples, until a final set of labeled examples is created. The final set of labeled examples is used to train a machine learning model. Each iteration includes mapping the input dataset to a reduced dimension space and using the reduced dimension space to identify high value examples to label.

Abstract: A method for a graphical user interface (GUI) of a computer system is provided. The method comprises displaying within a first portion the GUI, an electro-anatomical map of the heart, said electro-anatomical map comprising a plurality of measurement points within the heart for which data was collected; displaying a plurality of markers, each representing a respective one of said measurement points spatially in relation to the geometry of the heart within said first portion; determining, by a processor, user-selection of a particular measurement point within the heart through selection of its associated marker; responsive to said user-selection of the particular measurement point, retrieving at least one metric associated with said measurement point; and displaying in a second portion of the GUI, each retrieved metric associated with a particular measurement point within the heart.

Abstract: A method for facilitating fraud detection based on collaborative filtering is provided. The method includes segregation of payment modes into payment mode clusters and merchants into merchant clusters based on first historical transaction data associated therewith. Further, a collaborative filtering (CF) matrix is generated based on the payment mode clusters, merchant clusters, and second historical transaction data. Additionally, CF features are created for each payment mode cluster-merchant cluster pair based on the CF matrix and second historical transaction data. A risk score machine-learning model (ML) is trained based on created CF features and non-CF features. The risk score ML model is operable to classify a transaction request to one of a fraudulent transaction request and legitimate transaction request based on the training.

Abstract: A system and method include a server device which transmits a list of passengers for a vehicle route. The list of passengers may include profiles for each one of the passengers. The server device may further receive a unique identification for a passenger boarding a vehicle and compare the unique identification to the list of passengers for the vehicle route. The server device may further identify the passenger boarding the vehicle as being on board the vehicle in the profile for that passenger. The server device may further receive vehicle status information from the vehicle and transmit driver navigational information to a driver device. The server device may further transmit real time tracking data to a user device, including a map with an indicator of a current location of the vehicle.

Abstract: The present invention relates to topical compositions comprising Micrococcus luteus Q24 and a viscosity modifier, the composition having a viscosity of from about 2,500,000 to about 8,000,000 cP at 25° C., and the use of these for improving the appearance of skin or at least one sign of aging, or reducing skin dryness.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selection of ranked configurations.

Abstract: In one aspect, a method includes receiving, a serving gateway of a core network of a wireless communication system, a call request associated with an emergency service; assigning a Tunnel Endpoint Identifier (TEID) to the call, wherein the TEID has a plurality of bits and a first segment of the plurality of bits are set to identify the TEID as being associated with the emergency service; and establishing the call for the emergency service with a Packet Data Gateway (PGW) of the core network using the TEID, wherein the TEID enables the PGW to suppress deletion of a bearer associated with the call.

Abstract: An apparatus and method for filtering a potential signal using catheter velocity during electro-anatomical mapping. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to derive at least a velocity signal from the at least a position signal. The memory instructs the processor to identify, using the at least a velocity signal, a local minimum velocity. The memory instructs the processor to process, using a motion filter, the at least a position signal as a function of the at least a minimum velocity time and the at least a minimum velocity position.

Abstract: An apparatus and method for automatic beat detection during electro anatomical mapping. The apparatus includes at least a catheter comprising at least a transducer, at least a localization system, at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive the at least a potential signal from the at least a transducer and the at least a position signal from the at least a localization system, determine, using a beat detection algorithm, at least a beat template as a function of the at least a potential signal, compare the at least a beat template with the at least a potential signal over time, and detect beat timing as a function of the comparison of the at least a beat template and the at least a potential signal.

Abstract: Apparatus for generating electro-anatomical mapping and methods used therein include a processor and a memory connected to the processor, wherein the memory contains instructions configuring the processor to receive input data, generate, using at least a machine learning model, an electro-anatomical mapping as a function of the input data, and display the electro-anatomical mapping using a user interface, wherein receiving the input data includes receiving, from an imaging device, at least a medical image and receiving, from a signal capturing device, at least an electrogram, wherein the at least a machine learning model is trained using electro-anatomical mapping training data including exemplary medical images and exemplary electrograms as input correlated to exemplary electro-anatomical mappings as output.

Abstract: Embodiments of the present invention disclose a method and system for visualizing the depolarization of a heart as a wave across the surface of the heart while at the same time showing the underlying electrograms associated with the depolarization. Controls are provided to: start and pause the propagation (depolarization) animation, fast forward or rewind, reduce the speed from 1× to slower speeds, and select a subset of the signal for viewing.

Abstract: A method being implemented via execution of computing instructions configured to run at one or more processors. The method can include determining a primary store and one or more secondary stores for pickup of an order of a user, which can include: performing a first lookup call to a first cache of one or more proximate access points based on the primary store; and when a list of the one or more proximate access points is not retrieved in the first lookup call: performing a second lookup call to a second cache of active access points; determining the one or more proximate access points from among the active access points; and storing the one or more proximate access points in the first cache to update the first cache. The method also can include transmitting, for display to the user, a list of available time slots based on availability of time slots at the primary store and the one or more secondary stores. Other embodiments are described.

Abstract: A system for locating a medical device using an electrical field creation comprising a plurality of excitation patches positioned on a hemispherical electrical field, a common ground patch, at least a catheter assembly comprising at least a tip comprising a plurality of electrodes, and a processor configured to transmit an electric signal between each excitation patch and the common ground patch; measure at least a voltage at the plurality of electrodes; generate an assessment of an impedance location an electrode of the plurality of electrodes as a function of the plurality of voltages; and retrieve a location of the device using of the at least a voltage and the assessment of the impedance location.

Abstract: A method and system is disclosed for the detection of pulmonary vein potentials when mapping a heart. The method comprises acquiring a voltage signal from a catheter inserted into a heart and performing real time beat detection to isolate the beats in said signal. Next a minimum threshold is computed to indicate the presence of a pulmonary vein potential. The voltage signal may be marked to indicate the presence of a pulmonary vein potential based on the minimum threshold.

Abstract: An improved flushing technique controls a draining speed of data from a temporary storage tier to a backend storage tier of a node so that draining logic does not overwhelm an input/output (I/O) workload that is serviced by the storage tiers. Illustratively, the temporary storage tier is a persistent write buffer embodied as an operations log (oplog) and the backend storage tier is persistent physical disk storage embodied as an extent store. The technique improves an oplog flushing algorithm by enabling control of the oplog draining speed (rate) to provide consistent performance when the I/O workload (e.g., a primary ingest I/O stream) is serviced by the extent store and/or oplog during one or more states (e.g., static inertia state, idle state and rebuild state) of the oplog.

Abstract: A system and method include a server computer that determines a plurality of routes and corresponding route schedules for a plurality of ride service requests. The server computer assigns a plurality of vehicles to service each one of the plurality of routes and further assigns one of the plurality of vehicles to one of a plurality of drivers to perform the route according to the route schedule. The server computer may detect an exception to the route schedule, identify a resolution to the exception, and automatically implement the resolution to the exception.

Abstract: The present disclosure discloses systems and methods for determining dosage parameters to ensure durability in treatment processes. A system for determining dosage parameters to ensure durability in treatment processes may include at least a processor and a memory containing communicatively connected to the at least a processor. The memory may contain instructions configuring the processor to implement methods for determining dosage parameters to ensure durability in treatment processes. A method for determining dosage parameters to ensure durability in treatment processes may include receiving a plurality of historical data, training a machine learning model using the plurality of historical data, receiving current physiological data, determining dosage parameters using the current physiological data and the machine learning model, and initiating a treatment process using the dosage parameters.

Abstract: Techniques for pre-processing metadata for faster background decisions include, in response to a metadata entry associated with storage of data in a cluster being modified, generating a summary entry corresponding to the metadata entry. The summary entry includes a subset of the information from the metadata entry. A data management action is performed based upon a scanning process that reads a plurality of summary entries corresponding to a plurality of metadata entries for data in the cluster.

Abstract: An apparatus and method for determining a label dynamically using a potential signal. The apparatus includes a memory and at least a processor communicatively connected to the memory, wherein the memory contains instructions configuring the at least a processor to receive a user input comprising a labeled datum associated with the at least a potential signal, receive a plurality of stored data associated with the at least a potential signal, generate, using the at least a processor, a plurality of canonicalized data by processing the plurality of stored data, transmit, using a real time data simulator, the plurality of canonicalized data to a simulation module, generate, using the simulation module, a labeled prediction corresponding to a segmented datum.

Abstract: A load and route assignment system is provided and generally includes a computing device and a database. The database may store historical inbound load data and historical outbound load data related to previous inbound and outbound loads. The computing device can obtain and aggregate the historical inbound and outbound load data from the database, and determine an optimal path based on the aggregated historical data. The optimal path, along with load attribute data, may be stored in the database as a tour template for future load executions. The computing device may use the tour templates to determine future load assignments to vehicles. The computing device may also obtain real-time load requests, and match them to one or more of a plurality of tour templates. The computing device may assign the matched real-time load requests to a vehicle for execution in accordance with the corresponding load and tour template.