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公开(公告)号：US20240054567A1
公开(公告)日：2024-02-15
申请号：US18237032
申请日：2023-08-23
发明人： John TURNER
IPC分类号： G06Q40/08
CPC分类号： G06Q40/08
摘要： Proposed is a digital and automated underwriting system and method with fast point of sale decision-making and intelligent data processing engine for the coverage of possible damage impacted by the occurrence of health events to users. The automated system captures user-specific medical parameter data sets. The captured medical parameter data sets are processed by the electronic signal processing engine, wherein the electronic signal processing engine transmits an output signal generated upon processing the medical parameter data set, the output signal automatically triggering or blocking an automated underwriting process by an electronic underwriting unit.
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公开(公告)号：US20240043025A1
公开(公告)日：2024-02-08
申请号：US18481664
申请日：2023-10-05
发明人： Luigi DI LILLO , Margherita ATZEI
CPC分类号： B60W50/06 , B60W60/0015 , G07C5/02 , G06F30/20 , B60W2050/0006
摘要： Proposed is an electronic risk measuring and scoring system and method for an autonomous vehicle, comprising: an vehicle component valuation unit to valuate the autonomous vehicle; an automated ranking unit for determining ranking associated with forward-looking accident frequencies and severities for the autonomous vehicle based on the valuation thereof, and at least on one of operational risk data, contextual risk data, technical performance of the autonomous vehicle, legal risk data and cyber risk data therefor; a benchmarking unit for benchmarking autonomous vehicle risks associated with the autonomous vehicle based on testing and/or simulating an autonomous vehicle component modelling structure for the autonomous vehicle; a risk class unit for generating a risk space with one or more risk classes for the autonomous vehicle based on the benchmarking; and a scoring unit for generating scores or indices, to calibrate and rate and/or price risk-transfers, and/or as input for risk-transfer modeling.
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公开(公告)号：US11836584B2
公开(公告)日：2023-12-05
申请号：US17028781
申请日：2020-09-22
发明人： Felix Mueller
IPC分类号： G06N20/00 , G06F16/906 , G06N20/10 , G06N5/04 , G06V30/224
CPC分类号： G06N20/00 , G06F16/906 , G06N5/04 , G06N20/10 , G06V30/224
摘要： A fully or semi-automated, integrated learning, labeling and classification system and method have closed, self-sustaining pattern recognition, labeling and classification operation, wherein unclassified data sets are selected and converted to an assembly of graphic and text data forming compound data sets that are to be classified. By means of feature vectors, which can be automatically generated, a machine learning classifier is trained for improving the classification operation of the automated system during training as a measure of the classification performance if the automated labeling and classification system is applied to unlabeled and unclassified data sets, and wherein unclassified data sets are classified automatically by applying the machine learning classifier of the system to the compound data set of the unclassified data sets.
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公开(公告)号：US20230386655A1
公开(公告)日：2023-11-30
申请号：US18446949
申请日：2023-08-09
摘要： Proposed is a cloud-based, scalable, advanced analytics platform and/or anomaly detection system 1 for analyzing complex medical risk data and providing dedicated electronic trigger signals, inter alia, applicable for triggering risk-related activities or providing expert-system-based insights for medical risk-transfer. The digital-based system can, inter alia, be based on measurements based on evolving real-world measuring parameters associated with complex medical or clinical risk-related measuring parameter values and data. The present invention further relates to pattern anomaly detection and more specifically to a method and apparatus for performing a multi-domain anomaly pattern definition and detection, in particular in the filed bio-surveillance.
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5.发明申请公开(公告)号：US20230128964A1
公开(公告)日：2023-04-27
申请号：US17933623
申请日：2022-09-20
发明人： Riccardo TISSEUR , Tobias TEKAMPE
摘要： A method and system for electronic trip familiarity detection based on sensory data measured by a plurality of sensors of a mobile telematics device associated with a user and/or a vehicle, the plurality of sensors at least comprising a GPS sensor and/or an accelerometer, the mobile device comprising one or more wireless connections, wherein by at least one of the wireless connection the mobile device acts as a wireless node within a cellular data transmission network by means of antenna connections of the mobile device to the cellular data transmission network, and the plurality of sensors being connected to a monitoring mobile node application of the mobile device, wherein the monitoring mobile node application captures usage-based and/or user-based sensory data of the plurality of sensors of mobile device.
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6.发明申请公开(公告)号：US20230076568A1
公开(公告)日：2023-03-09
申请号：US18045326
申请日：2022-10-10
发明人： Riccardo TISSEUR , Elia GIACOMINI
摘要： A method and system for automated transportation mode recognition based on sensory data measured by a plurality of sensors of a cellular mobile device of a user, the plurality of sensors at least comprising an accelerometer and a gyroscope, the plurality of sensors being connected to a monitoring mobile node application of the mobile device, wherein the mobile device measures time series of sensory parameter values based on measuring parameters obtained from the sensors, the measuring parameters comprise time series of sensory parameter values of a 3-axis accelerometer as sensor and time series of sensory parameter values of GPS-based speed measurements of a GPS receiver as sensor, and wherein the measured time series of sensory parameter values trigger the automated transportation mode recognition as input feature values to a gradient boosting machine-learning classifier, the transportation modes at least comprising the modes public transportation and/or motorcycle and/or cycling and/or train and/or tram and/or plane and/or car and/or skiing and/or boat, and the transportation mode recognition generating a transport mode label for a transport mode movement pattern of a trip.
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公开(公告)号：US11475072B2
公开(公告)日：2022-10-18
申请号：US15387070
申请日：2016-12-21
发明人： Felix Mueller
IPC分类号： G06N20/00 , G06F16/906 , G06N20/10 , G06N5/04 , G06V30/224 , G06F17/16 , G06K9/62
摘要： A fully or semi-automated, integrated learning, labeling and classification system and method have closed, self-sustaining pattern recognition, labeling and classification operation, wherein unclassified data sets are selected and converted to an assembly of graphic and text data forming compound data sets that are to be classified. By means of feature vectors, which can be automatically generated, a machine learning classifier is trained for improving the classification operation of the automated system during training as a measure of the classification performance if the automated labeling and classification system is applied to unlabeled and unclassified data sets, and wherein unclassified data sets are classified automatically by applying the machine learning classifier of the system to the compound data set of the unclassified data sets.
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公开(公告)号：US11379920B2
公开(公告)日：2022-07-05
申请号：US15656694
申请日：2017-07-21
摘要： A method and automated flight trajectory prediction and flight trajectory-borne automated delay risk-transfer system related to airspace risks for risk sharing of a variable number of risk-exposed units by pooling resources of the risk-exposed units and by providing the risk-transfer system as a self-sufficient operatable risk-transfer system based on the pooled resources for the risk-exposed units by a resource-pooling system associated with the risk-transfer system. The risk-exposed units are connected to the risk-transfer system by a plurality of payment-transfer devices configured to receive and store payments from the risk-exposed units for the pooling of their risks and resources, and an automated transfer of risk exposure associated with the risk-exposed units is provided by the risk-transfer system.
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公开(公告)号：US11315188B2
公开(公告)日：2022-04-26
申请号：US15279011
申请日：2016-09-28
摘要： A system and a method, the method including assigning a payment parameter to each variable risk transfer segment of a top-down table and accumulating payment parameters to a total payment sum, capturing payment transfer parameters from a first payment-transfer device to a second payment-transfer device, and when the total payment sum at the second payment-transfer device has been triggered, transferring the risk exposure of a first insurance system associated with the variable risk transfer segments of the top-down table to a second insurance system.
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公开(公告)号：US11138671B2
公开(公告)日：2021-10-05
申请号：US15659250
申请日：2017-07-25
IPC分类号： G06Q40/08
摘要： Proposed is an adaptive, layered, automated risk-transfer system and method thereof, with a self-optimizing, increased leveraged capacity and enhanced drop-down cover structure with a plurality of adjustable risk-transfer layers. If a triggered risk-event is assignable to either of the top risk-transfer layer or the bottom risk-transfer layer of the drop-down cover structure, a shared exhaustion factor is generated based on the assigned risk-transfer layer and based on a cover of the loss associated with the triggered risk event. The shared exhaustion factor is applied mutually to both layers by the system eroding both layers by the same exhaustion factor. The top layer and the bottom layer are reinstatable by a corresponding generated normalized reinstatement parameter values normalized over both layers and based on a thus provided shared limit and the erosion of the top layer and the bottom layer.
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