Abstract: Aspects herein provide a system, media, and methods for/of an application that utilizes and leverages machine learning techniques, infrastructure information (e.g., existing and planned cell sites, lease agreement sites, fiber-optic networks, geographic landmarks), and collected telecommunication data, to accurately identify and determine specific solutions and specific locations for those solutions to be deployed in a geographic area. In embodiments, the application autonomously identifies an optimized specific solution type for various clusters of poor-service coverages areas within the geographic areas. The application also determines a precise location for deployment of each optimized specific solution type for each cluster.

Abstract: Provided herein are multi-modal methods and/or systems of diagnosing one or more disease, as described elsewhere herein.

Abstract: A humidification system can include a heater base, a humidification chamber, and a breathing circuit. A cartridge can be removably coupled to the heater base. The cartridge can include various sensors, probes, sensor wire connectors, heater wire connectors, and/or other features. The cartridge can include features configured to mate with corresponding features on the humidification chamber and the heater base. The cartridge includes a memory, such as an EEPROM, or other suitable storage device. When the cartridge is installed on the heater base, the memory is electrically connected to a processor and/or memory of the heater base. Various models of cartridges can be produced for use with different humidification chambers, breathing circuits, and/or therapies. A connector can be configured to couple an inspiratory conduit to an outlet port of the humidification chamber. The connector can provide a pneumatic connection to the outlet port and an electrical connection to the cartridge.

Abstract: Systems and methods to identify a growth classification/categorization for a geographic area that helps a network provider to solve for what types of planning opportunities are available at various area granularities is disclosed. The system computes values for a set of growth criteria for a geographic area. The growth criteria are related to planning, usability, customer experience, sales, population, and so on. Based on the growth-criteria values, the system identifies a classification/categorization for the area. For example, the system classifies an area as an invest area (e.g., requiring engineering action), a grow area (e.g., requiring sales action/being sales ready), a defend area (e.g., requiring engineering and sales actions to continue current trend), or a fix area (e.g., likely requiring both engineering and sales actions to improve current trend). Based on the area classification, the system can then provide actionable insights to drive improvement in network coverage and customer experience.

Abstract: A method of implementing administrative services for a compensation platform is disclosed. One or more interactive compensation representation views are generated based on an evaluation of mapping rules against a flexible ontology and current data state, the flexible ontology comprising customizable compensation components, relationships, and properties. One or more compensation representation views are dynamically updated in real-time in response to changes in compensation data, user context, or access permissions without requiring manual regeneration of the one or more compensation representations. The one or more interactive compensation representation views include a user interface element displayed in response to a user selection of compensation data, wherein the user interface element provides direct access to compensation information relevant to the selected compensation data without requiring a change to another screen or another user context.

Abstract: A method of generating customizable goal representation is disclosed. A request from a user to view a goal representation is received. A flexible goal ontology is accessed that comprises one or more goal entities, one or more goal relationships between the goal entities, or one or more goal properties, the one or more goal properties including one or more metadata attributes relating to the one or more goal entities. A set of mapping rules is obtained that defines mappings between one or more goals. The set of mapping rules is evaluated to assemble a customized goal representation tailored to the user. The customized goal representation is updated based on a revaluation of the mapping rules affected by changes to the one or more goal entities, the one or more goal relationships, or the one or more properties.

Abstract: Systems, methods and apparatus are disclosed for providing reduced engine start times for a fumigation type internal combustion engine. A bypass is provided that directly connects the air-fuel mixer upstream of the compressor to the intake manifold, providing the air-fuel mixture to the intake manifold during engine startup.

Abstract: The present invention describes a method to remove metals present in a mixture comprising one or more organic amines comprising the step of contacting the mixture with a silica-polyethyleneimine adsorbent.

Abstract: Embodiments are directed towards managing and tracking item identification of a plurality of items to determine if an item is a new or existing item, where an existing item has been previously processed. In some embodiments, two or more item identifiers may be generated. In one embodiment, generating the two or more item identifiers may include analyzing the item using a small item size characteristic, a compressed item, or for an identifier collision. The two or more item identifiers may be employed to determine if the item is a new or existing item. In one embodiment, the two or more item identifiers may be compared to a record about an existing item to determine if the item is a new or existing item. If the item is an existing item, then the item may be further processed to determine if the existing item has actually changed.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for detecting fraudulent activity. A computing device in a second network receives a plurality of interactions between data centers in a first network and one or more devices, remote from the data centers, of a user, the interactions forming an aggregate user session representing the user's activity over a period of time with the data centers via the devices. The computing device monitors data transaction requests of the interactions and is configured to respond to each request with a response that appears as if the request was executed. If the interactions are harmful, the computing device interdicts the interactions from execution by the data centers and allows the devices to submit additional interactions. If unable to determine whether the subsequent interactions are harmful, the computing device transmits the interactions to the data centers for execution and marks the interactions.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for subscribing to data feeds on a network. An user utilizes a transmitting device to transmit data packets that are split between a plurality of data centers for processing. The data packets are captured at the data centers. The data packets are recombined. The recombined data can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for detecting fraudulent activity on a network. A user utilizes a transmitting device to transmit user requests that are split between a plurality of data centers for processing. The user requests are captured at the data centers. The user requests are unified into a user session. The user session can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: An application destined for a client VoIP device is available at a service provider 20 and is loaded first to a client-side device over an unsecure public network, using a secure protocol. The VoIP device is not able to receive the application directly using the secure protocol and the client side device is instructed to load the application to the client VoIP device over a private network using an unsecure protocol.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for detecting and interdicting fraudulent activity on a network. An user utilizes a transmitting device to transmit user requests that are split between a plurality of data centers for processing. The user requests are captured at the data centers. The user requests are unified into an user session. The user session can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for unifying user sessions on a network. An user utilizes a transmitting device to transmit user requests that are split between a plurality of data centers for processing. The user requests are captured at the data centers. The user requests are unified into an user session. The user session can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for reconstructing data on a network. An user utilizes a transmitting device to transmit data packets that are split between a plurality of data centers for processing. The data packets are captured at the data centers. The data packets are recombined. The recombined data can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for detecting fraudulent activity on a network. An user utilizes a transmitting device to transmit user requests that are split between a plurality of data centers for processing. The user requests are captured at the data centers. The user requests are unified into an user session. The user session can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for detecting fraudulent activity on a network using stored information. An user utilizes a transmitting device to transmit user requests that are split between a plurality of data centers for processing. The user requests are captured at the data centers. The user requests are unified into an user session. The user session can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for detecting and interdicting fraudulent activity on a network. An user utilizes a transmitting device to transmit user requests that are split between a plurality of data centers for processing. The user requests are captured at the data centers. The user requests are unified into an user session. The user session can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.

Abstract: Described are computer-based methods and apparatuses, including computer program products, for subscribing to data feeds on a network. An user utilizes a transmitting device to transmit data packets that are split between a plurality of data centers for processing. The data packets are captured at the data centers. The data packets are recombined. The recombined data can be analyzed for fraud detection, marketing analysis, network intrusion detection, customer service analysis, and/or performance analysis. If fraudulent activity is detected, then the user can be interdicted to prevent further fraudulent activity.