Abstract: 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.

Abstract: The invention relates to automated method and flood measuring and trigger system for providing a dynamic parametric flood impact cover for physical objects being measurably impacted by an occurrence of a flood event by using an adaptive damage-cover structure of a damage-cover system based on physical flood event measurements, wherein by flood detection devices and/or flood sensors, an occurrence of a flood event is measured by measuring floodings within the grid cells of the spatial grid, wherein flood measuring parameters of the flood detection devices and/or flood sensors are transmitted to the central measuring engine and wherein, based on the transmitted flood measuring parameters, grid cells measured as flooded are contributing to the area measured as affected while grid cells measured as not flooded are contributing to the area measured as not affected.

Abstract: 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.

Abstract: Aspects of the disclosure provides a secure key management and data transmission system that includes a transmission system, a data consumer network device, a user network device, and a data transmission network. The transmission management system is configured to receive user-specific data from the user network device via the data transmission network and receive a request for a service corresponding to processing the user-specific data according to a proprietary process provided by the data consumer network device. The transmission management system is also configured to generate service response data based on processing the user-specific data according to the proprietary process in response to the received request, encrypt the service response data to become single-encrypted service response data, transmit the single-encrypted service response data to the data consumer network device, and receive and store double-encrypted service response data from the user network device.

Abstract: An automated automobile claims fraud detector and method for automatically evaluating validity and extent of at least one damaged object from image data and detect possible fraud, the automated automobile claims fraud detector comprising the processing steps of: (a) receiving image data comprising one or more images of at least one damaged object; (b) processing said one or more images for existing image alteration using unusual pattern identification and providing a first fraud detection; (c) processing said one or more images for fraud detection using RGB image input, wherein the RGB values are used for (i) CNN-based pre-existing damage detection, (ii) parallel CNN-based color matching, and (iii) double JPEG compression (DJCD) detection using custom CNN; (d) processing output of (i) CNN-based pre-existing damage detection, (ii) parallel CNN-based color matching, and (iii) double JPEG compression detection using custom CNN as input for ML-based fraud identifier providing a second fraud detection; and (e) gen

Abstract: Proposed is an automated system providing an automatable long-term care risk mitigation structure associated with immediate care needs of risk-exposed individuals in case of becoming a long-term care-receiver. The system provides an automated multi-step trigger and detection cycle based on sensory measuring data for risk-exposed individuals thereby mitigating possibly occurring long-term care needs by means of the automated system based on a detected sufficient state of disability, possibly predetermined up-front amount parameters and an assigned care equity ratio associated with an asset. The state of disability of the risk-exposed individual is measurable by a definable set of risk-exposed individual measuring parameters.

Abstract: Proposed is an operationally independent clash loss event triggering risk transfer system and a method for risk sharing for a variable number of risk exposure components through the provision of independent risk protection for the risk exposure components by means of a risk transfer structure implemented by circuitry, which captures risk transfers of the exposure to multiple retentions of the components that may occur when two or more of the associated risk exposure components suffer a loss from the occurrence of the same risk event. The system triggers clash loss events simultaneously impacting various layers an/or segments of the risk transfer structure. Furthermore, an event-driven switching device may be deployed for the complementary switching of two coupled, autonomously operated resource-pooling systems, where the operation of the systems remains stable under particularly large losses triggered by the same measurement of a risk event.

Abstract: 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.

Abstract: Proposed is an automated measuring system for progress monitoring and steering of impacts of a complex system to world environment and ecosystem induced by environmental-human linkages and for quantitative measuring of effects of applied risk-transfer structures to said environmental-human linkages induced by risk-transfer-SDG linkages measuring quantifying distances of progresses toward at least one of a predefined sustainable development goal with and without applying said risk-transfer structures.

Abstract: An intermediary, digital, data-driven platform and procedures for heterogeneous industrial ecosystems for the standardised recording and automated management of risk transfers and assigned product- and company-specific capacities as a standardised digital channel between risk-exposed units of the industrial ecosystem and the systems of a heterogeneous risk transfer ecosystem.

Abstract: 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

Abstract: A measuring and monitoring system is proposed comprising a plurality of measuring sensors and measuring devices by means of which geographically cellularly delimited measuring parameters are acquired. The measuring parameters are aggregated to a BES index, wherein the measuring parameters are selected in relation to the desired measurement accuracy of the biodiversity and ecosystem services (BES) index. The measuring and monitoring system comprises selectable, various biodiversity and ecosystem services at least comprising measuring parameters for measuring the habitat intactness and/or pollination and/or air quality and local climate and/or water security and/or water quality and/or soil fertility and/or erosion control and/or coastal protection and/or food provision and/or timber provision. The measuring and monitoring system further permits the quantitative acquisition/measurement of risk indices based on the measured ecosystem services as a function of sectoral economic services.

Abstract: Proposed is an automated telematics-based system (1) for score-driven operations associated with motor vehicles (41, . . . , 45) or transportation means of passengers or goods and based on a dynamic, telematics-based data aggregation, and method thereof, for automated risk-transfer related to complex peer-to-peer lending schemes, especially related to vehicles and car sharing schemes and sharing economy transportation schemes related to risks associated with damages to third parties. The telematics-based system (1) comprises telematics devices (411, . . . , 415) associated with the plurality of motor vehicles (41, . . . , 45), wherein the telematics devices (411, . . . , 415) comprise a wireless connection (42101-42108) to a central, expert-system-based circuit (11). The telematics devices (411, . . . , 415) are connected via interfaces (421, . . . , 425) to the sensors and/or measuring devices (401, . . . , 405) and/or an on-board diagnostic system (431, . . .

Abstract: Proposed is a digital multi-channel platform based on a multi-channel, high-layer data-transfer structure accessible by means of web-client applications running on front-end network-enabled devices providing discrete high-layer data-flow and capturing of structured and unstructured data content transferred from the front-end network-enabled devices over a data transmission network to a digital multi-channel back-end system.

Abstract: Proposed is a mobile automotive car system, and method thereof, for a dynamic, telematics-based connection search engine and telematics data aggregator, wherein risk-transfer profiles are captured and categorized in a results list from a plurality of first risk-transfer systems based on dynamically generated driving score parameters by means of appropriately triggered automotive data. As a variant, during a predefined trial period, the automotive and driving behavior data can be collected, which are transmitted together with the generated driving score parameters to multiple automated first risk-transfer systems for quotation. The user is able to dynamically select the best-fitting first risk-transfer system for risk-transfer by means of the results list, which is provided and updated in real-time for display to and selection by a user of a mobile telecommunication apparatus by means of a mobile telematics application of the mobile telecommunications apparatus.

Abstract: A system and a method for the determination and forecast of absolute and relative risks for car accidents based on exclusively non-insurance related measuring data and based on automated traffic pattern recognition, wherein data records of accident events are generated and location-dependent probability values for specific accident conditions associated with the risk of car accident are determined. The proposed system provides a grid-based, technically new way of automation of risk-prediction related to motor accidents using environment based factors including socio-economic factors that are impacting motor traffic and are location dependent received from appropriate measuring devices and systems. In this way, predictions of the accident risk for arbitrary areas can be provided. The system is calibrated by comparing features of areas or road segments with the number and type of accidents that have measured or registered there, linking the features and accident data e.g.

Abstract: Proposed is an automated risk assessment and underwriting platform and corresponding method.

Abstract: Proposed is an electronic risk measuring and scoring system, in particular for mobile telematics devices and method thereof. In particular, an electronic risk measuring and scoring system which measures an ADAS risk score measure measuring the impact of ADAS features to the accident risk associated with a motor vehicles, and which rates and calibrates a risk-transfer user-specifically thereby capturing the impact of ADAS features in measures of risk-transfer claims frequency and severity.

Abstract: A simulation device is provided for automated prediction of impact measures based on occurrences of physical events. The simulation device includes a plurality of sensors and circuitry configured to detect the occurrences of the physical events based on predefined event parameters, measure impacts of the physical events on a physical object based on impact parameters, dynamically capture characteristics of the physical object and generate characteristics parameters based on the captured characteristics, identify a plurality of records associated with predefined events impacting the physical object and transfer the records to a portfolio, generate a rate value based on the predefined event parameters and the characteristics parameters, and estimate a cost for transferring a record, and dynamically provide forward- and backward-looking impact measures based on at least one of (i) a variation of the rate value and (ii) the portfolio including the plurality of records.

Abstract: An automated real-time fraud monitoring and detection system for detecting unusual and/or suspicious activities within a network of nodes interconnected by edges triggered by captured synthetic forms of social data, in particular social networking and/or linkage and/or relationship data and social metadata including at least data from microblogging services and/or social networking services by pattern recognition and matching.