Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

Abstract: A detector capable of detecting bearing faults in advance is disclosed. The detector includes a microprocessor with an input terminal connected to a power supply and an output terminal connected to a detection information output device. A resonance enhanced piezoelectric sensor is provided. A sensor trigger detection circuit is electrically connected between the sensor and the microprocessor. An input terminal of the sensor trigger detection circuit is connected in parallel with a sensor signal selection circuit. The sensor signal selection circuit is connected in series with a sensor signal processing circuit. An output terminal of the sensor signal processing circuit is connected in series with a programmable gain circuit. The programmable gain circuit is connected to the microprocessor. The sensor trigger detection circuit, the sensor signal selection circuit, the sensor signal processing circuit, and the programmable gain circuit are respectively connected to the power supply.

Abstract: A system and method for mining social media signals and cues i) created by a user (for example, a customer) and/or ii) to which the user is exposed (the “data”), and for processing that data as it relates to a service (including a fee or subscription-based service), in order to predict the user's predisposition or likelihood to either leave the subscription or the service or reduce his/her engagement with the subscription or the service.

Abstract: A detector capable of detecting bearing faults in advance is disclosed. The detector includes a microprocessor with an input terminal connected to a power supply and an output terminal connected to a detection information output device. A resonance enhanced piezoelectric sensor is provided. A sensor trigger detection circuit is electrically connected between the sensor and the microprocessor. An input terminal of the sensor trigger detection circuit is connected in parallel with a sensor signal selection circuit. The sensor signal selection circuit is connected in series with a sensor signal processing circuit. An output terminal of the sensor signal processing circuit is connected in series with a programmable gain circuit. The programmable gain circuit is connected to the microprocessor. The sensor trigger detection circuit, the sensor signal selection circuit, the sensor signal processing circuit, and the programmable gain circuit are respectively connected to the power supply.

Abstract: A system and method for mining social media signals and cues i) created by a user (for example, a customer) and/or ii) to which the user is exposed (the “data”), and for processing that data as it relates to a service (including a fee or subscription-based service), in order to predict the user's predisposition or likelihood to either leave the subscription or the service or reduce his/her engagement with the subscription or the service.

Abstract: A system and method for mining social media signals and cues i) created by a user (for example, a customer) and/or ii) to which the user is exposed (the “data”), and for processing that data as it relates to a service (including a fee or subscription-based service), in order to predict the user's predisposition or likelihood to either leave the subscription or the service or reduce his/her engagement with the subscription or the service.

Abstract: A social media identity/construct is created for a person by locating social media profiles of the person at least by one or both of i) recognizing image(s) in one or more social media postings related to the person and ii) correlating geolocation data embedded in one or more social media postings related to the person or the person's social media connections, analyzing, monitor social media outlets and channels to create a social media profile for the person.

Abstract: A system and method for mining social media signals and cues i) created by a user (for example, a customer) and/or ii) to which the user is exposed (the “data”), and for processing that data as it relates to a service (including a fee or subscription-based service), in order to predict the user's predisposition or likelihood to either leave the subscription or the service or reduce his/her engagement with the subscription or the service.

Abstract: A social media identity/construct is created for a person by locating social media profiles of the person at least by one or both of i) recognizing image(s) in one or more social media postings related to the person and ii) correlating geolocation data embedded in one or more social media postings related to the person or the person's social media connections, analyzing, monitor social media outlets and channels to create a social media profile for the person.

Abstract: A computer-implementable method for selection and delivery of a customized consumer offer or engagement dialog by a live customer service representative (CSR) in communication with said consumer comprises upon a first communication from the consumer to the CSR, enabling the CSR to acquire from a first computer system at least one identifying feature of said consumer; using the at least one identifying feature to generate automatically, without CSR involvement, a search of the internet, via a second computer system, to acquire at least one current, real time internet content cue relating to said consumer, said real time internet content cue being collected while the CSR maintains engagement with the consumer; processing, via the second computer system, the at least one identifying feature and the at least one current, real time internet content cue to generate a consumer profile for said consumer; analyzing the consumer profile to create customized consumer offer or engagement dialog; and prompting the CSR to