Abstract: This application relates generally to third party carrier management by a shipper of items. These items may be ordered and shipped by the shipper to a distribution center with final delivery performed by the third party carrier. In an embodiment, a system includes at least one processor operatively coupled with a datastore, the at least one processor configured to: send a bid inquiry to a first carrier device and a second carrier device; receive first bid information responsive to the bid inquiry from the first carrier device; receive second bid information responsive to the bid inquiry from the second carrier device; determine a common delivery condition set of the first bid information and the second bid information; and select the first carrier device over the second carrier device based on the common delivery condition set of the first bid information and the second bid information.

Abstract: A method of facilitating content selection includes generating benchmark queries for a particular category. Generating the benchmark queries includes applying a text prompt as input to a language model trained on a knowledge base. The text prompt requests search queries indicative of user interest in the particular category. The method also includes selecting, responsive to new search queries entered by users, content items associated with the particular category for delivery to client devices of the users. Selecting the content items includes determining whether the new search queries correspond to the particular category at least in part by comparing the new search queries to a query set that includes the benchmark queries.

Abstract: An apparatus and method for validating, using user input, labeled data generated by a prediction generator. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The processor receives at least a potential signal, generates, processed data using the at least a potential signal, trains a prediction generator on a plurality of labeled training data, wherein the plurality of labeled training data comprises the processed data associated with at least an annotation, generates, using the prediction generator, a plurality of labeled data as a function of dynamic data, displays the plurality of labeled data to a user interface of a graphical user interface, receives a user input associated with the plurality of labeled data, and retrains the prediction generator using the user input.

Abstract: A system for visualization of cardiac signals including at least a processor configured to receive electrocardiogram (ECG) signal data including at least a cardiac signal, label the ECG signal data as a function of an ECG machine learning model, wherein training the ECG machine learning model includes receiving a plurality of de-identified medical data from a medical database, generating ECG training data as a function of the plurality of de-identified medical data, wherein the ECG training data includes the plurality of de-identified medical data correlated to a plurality of signal labels, training the ECG machine learning model as a function of the ECG training data and labeling the ECG signal data as a function of the trained ECG machine learning model, and generate a visualization output as function of the labeled ECG signal data.

Abstract: An apparatus for labeling a plurality of time series data is disclosed. The apparatus includes at least processor and a memory communicatively connected to the processor. The memory instructs the processor to receive a plurality of time series data. The memory instructs the processor to generate a plurality of time series segments for each time series represented within the plurality of time series data. The memory instructs the processor to identify one or more segment attributes for each time series segment. The memory instructs the processor to classify each time series segment of the plurality of time series segments to at least one time series label as a function of the one or more segment attributes. The memory instructs the processor to generate at least one labeled time series segment for each time series segment of the plurality of time series segments as a function of the classification.

Abstract: An apparatus and method for generating clinical decision support is disclosed. The apparatus includes at least a processor and a computer-readable storage medium communicatively connected to the at least a processor, wherein the computer-readable storage medium contains instructions configuring the at least processor to receive user data, generate a fused feature vector correlating the user data to a plurality of clinical outcomes by training a plurality of deep neural networks (DNNs) to output a first set of feature vectors, a second set of feature vectors and a third set of feature vectors, fusing the first, second, and third set of features vectors to form the fused feature vector, generate a procedural output using the fused feature vector, and display the procedural output through a user interface.

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 system and method include providing a list of children to be picked up by a vehicle at a particular stop along a route to a driver device. The provided list is displayed as part of a graphical user interface which includes a plurality of pick up options for each child in the list of children. The options include a picked up interface button, a no show interface button and a canceled button. The graphical user interface provides a picture and identification of each child. The server device transmits a message to a user device with confirmation that a child has been picked up. The server device also provides a list of children to be dropped off by the vehicle via a graphical user interface that also provides drop off options for each child in the list of children including a dropped off button or an on hold button.

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: Methods, systems and computer program products for lockless acquisition of memory for RDMA operations. A contiguous physical memory region is allocated. The contiguous physical memory region is divided into a plurality of preregistered chunks that are assigned to one or more process threads that are associated with an RDMA NIC. When responding to a request from a particular one of the one or more process threads, a buffer carved from the preregistered chunk of the contiguous physical memory region is assigned to the requesting process thread. Since the memory is pre-registered, and since the associations are made at the thread level, there is no need for locks when acquiring a buffer. Furthermore, since the memory is pre-registered, the threads do not incur registration latency. The contiguous physical memory region can be a contiguous HugePage contiguous region from which a plurality of individually allocatable buffers can be assigned to different threads.

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: Techniques are disclosed to identify if a current chamber being mapped is a target chamber that is desired to be mapped based on the relative position of the local activation time relative to QRS onset. Techniques are also disclosed whereby cardiac data can be labeled to indicate whether a beat was acquired while in the ventricle, or in the atrium.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: Systems and methods for enhanced rule-based querying of unstructured text using graph analysis are provided. Some embodiments apply machine learning to the analysis of unstructured text to identify regulatory, privacy, and cybersecurity risks. In some embodiments, a query string is provided to identify desired content in the unstructured text. The query string is tokenized and the tokenized parts are converted into nodes of a query graph and relationships are defining between the nodes. After identifying matches between terms in target text with nodes of the query graph, a graph is generated using matched terms as nodes. Based on the defined relationships, a determination is made whether any group of nodes on the graph satisfy the query string. Any matched nodes are mapped to the target text, and this information is provided to an analyst or reviewer for further consideration or action.

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: A method for identifying fraudulent cryptographic currency transactions using a deep neural network includes: receiving, by a receiver of a processing server, a source dataset, the source dataset including labeled source data associated with a plurality of source features and being associated with a source domain; receiving, by the receiver of the processing server, a target dataset, the target dataset including unlabeled target data associated with a plurality of target features and being associated with a target domain; combining, by a processor of the processing server, at least a subset of the plurality of source features and at least a subset of the plurality of target features into a combined data layer; training, by the processor of the processing server, a deep neural network using a domain adaptation algorithm and the combined data layer to identify a set of final features.

Abstract: According to one embodiment, a method for generating a cardiac map is disclosed. The method comprises during cardiac mapping in which a mapping catheter is inserted into a heart, receiving a plurality of recordings from the mapping catheter, each recording includes a voltage, and the spatial coordinates of a recording site within the heart indicative of an electrode position of the mapping catheter at the time of acquisition of said voltage, constructing a three-dimensional surface of the heart based on the spatial coordinates of each recording site, performing surface analysis to determine off-surface points in the plurality of recordings where each off-surface point corresponds to a recording from the plurality of recordings which does not lie on the three-dimensional surface, and selectively moving at least some of the off-surface points to the three-dimensional surface based on a predefined threshold.

Abstract: An apparatus for the generation of an impedance model of a biological chamber is disclosed. The apparatus includes a catheter assembly comprising a plurality of electrodes arranged into one or more constraint pairs. The apparatus includes a processor and a memory communicatively connected to the processor. The memory instructs the processor to receive tank data. The memory instructs the processor to generate a plurality of relative configurations of the plurality of electrodes as a function of the tank data using a compliant configuration generator. The memory instructs the processor to record voltage data from the plurality of electrodes within a biological chamber as a function of the plurality of relative configurations. The memory instructs the processor to map a plurality of impedance metrics for each relative configuration as a function of the voltage data. The memory instructs the processor to generate an impedance model as a function of the map.

Abstract: A system includes a server device which receives a charter service request from a user device is provided herein. The vehicle charter service request includes information about the request including a specified pickup location, one or more specified stop locations, and a specified destination location. The server device may provide a graphical user interface for the one or more vehicle types which are selectable for providing the vehicle charter service. The server device creates an optimized route for the charter service based on the specified pickup location, one or more specified stop locations, and a specified destination location. The server device may further provide a map and real time tracking for a vehicle providing the charter service.

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.