Abstract: Systems and techniques are disclosed for upsampling low resolution images in remote sensing data, such as satellite images, into higher-resolution upsampled images. A machine learning upsampling model is trained on a training data set containing crowdsourced high resolution images, such as dashcam images, cell phone camera images, and other types of images of geographical areas, as well as corresponding low resolution images from remote sensing data that depict the same geographical areas. The upsampling model is trained on the training data set to determine an upsampling approach that converts the low resolution images into upsampled images that match the crowdsourced high resolution images of the same geographical areas. Following training of the upsampling model, the upsampling model is used to upsample new low resolution images in remote sensing data into higher-resolution upsampled images.

Abstract: Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

Abstract: Decentralized blockchain enabled mobile communications on a secure, open and distributed network and that is network agnostic. Networks of future will be based on cellular, Wi-Fi, and/or satellite technology, may be private or public, will be decentralized and will provide a variable network capacity, latency and bandwidth. The endpoints for networks will vary but increasingly include several Internet-Of-Things (IOT) endpoints. Peer-to-peer connections traverse many of these networks. As of today, communications networks will continue to exist in secure and not secure embodiments.

Abstract: Decentralized blockchain enabled mobile communications on a secure, open and distributed network and that is network agnostic. Networks of future will be based on cellular, Wi-Fi, and/or satellite technology, may be private or public, will be decentralized and will provide a variable network capacity, latency and bandwidth. The endpoints for networks will vary but increasingly include several Internet-Of-Things (IOT) endpoints. Peer-to-peer connections traverse many of these networks. As of today, communications networks will continue to exist in secure and not secure embodiments.

Abstract: Servicing a communication from an originating station directed to one or more destination stations. A communication is received from an originating station and includes a unique identifier that is associated with the originating station and a destination identifier. A communication platform receives the communication either directly or from a telecommunications system component that recognizes the communication as being processed by the communications platform. The communication platform identifies the source of the communication and the destination of the communication. The communication platform sets up a communications channel/session between the stations and performs any conversion necessary for the destination to understand the originating station and vice versa. The communication platform routes the communication between the originating and destination stations and may enter the communication into an archive for a user associated with the originating station and/or destination session.

Abstract: A distributed system for collaboration of the operations of a single or multiple healthcare provider entities, and more particularly, a distributed healthcare system and method that operates to provide unification of communications, siloed and fragmented data harmonization, remoteness and decentralization exacerbating the need for a unique solution to address new age healthcare needs, authentication for security and privacy and real-time data sharing.

Abstract: Artificial intelligence is utilized in gathering, analyzing and processing of user feedback, specifically as pertaining to service quality in a telecommunications system. In response to collecting the feedback data, the system automatically generates reports and initiates remedial measures in response to such user feedback to enhance the performance of the service.

Abstract: Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

Abstract: Decentralized blockchain enabled mobile communications on a secure, open and distributed network and that is network agnostic. Networks of future will be based on cellular, Wi-Fi, and/or satellite technology, may be private or public, will be decentralized and will provide a variable network capacity, latency and bandwidth. The endpoints for networks will vary but increasingly include several Internet-Of-Things (IOT) endpoints. Peer-to-peer connections traverse many of these networks. As of today, communications networks will continue to exist in secure and not secure embodiments.

Abstract: Decentralized blockchain enabled mobile communications on a secure, open and distributed network and that is network agnostic. Networks of future will be based on cellular, Wi-Fi, and/or satellite technology, may be private or public, will be decentralized and will provide a variable network capacity, latency and bandwidth. The endpoints for networks will vary but increasingly include several Internet-Of-Things (IOT) endpoints. Peer-to-peer connections traverse many of these networks. As of today, communications networks will continue to exist in secure and not secure embodiments.

Abstract: Generating a “day zero” model as an NLP model that does not need to rely on any specific data obtained from a particular process. As such, the various embodiments are directed to generating a dataset and an NLP model for any industry, field or application that does not have a historical dataset already built that can be utilized. As such, the various embodiments operate to build an applicable data set and NLP model in an automated fashion. This NLP model along with the industry, field or application specific dataset can then be operational on day-zero and provide accurate and relevant results.

Abstract: Artificial intelligence is utilized in gathering, analyzing and processing of user feedback, specifically as pertaining to service quality in a telecommunications system. In response to collecting the feedback data, the system automatically generates reports and initiates remedial measures in response to such user feedback to enhance the performance of the service.

Abstract: Analytics are collected to monitor and report data usage of enterprise applications running on a mobile device. A second line service agent and an analytics agent assure that the mobile device is configured for analytics collection. Once configured, cellular data usage of applications that are monitored by the analytics engine are detected and a VPN connection is established for routing the communications between the monitored app an a public website. If the mobile device switches to WiFi usage, the analytics agent disconnects the VPN connection and routes data directly to the public website. Thus, data usage of the monitored applications can be reported by the VPN gateway.

Abstract: Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

Abstract: Conversion of communications from a first device over a first communication channel to a second communication channel that is utilized by a second communication device such that an enterprise employee can interface with and communication with a customer using the customer's preferred channel or application for communication.

Abstract: Conversion of communications from a first device over a firsts communication channel to a second communication channel that is utilized by a second communication device such that an enterprise employee can interface with and communication with a customer using the customer's preferred channel or application for communication.

Abstract: Analytics are collected to monitor and report data usage of enterprise applications running on a mobile device. A second line service agent and an analytics agent assure that the mobile device is configured for analytics collection. Once configured, cellular data usage of applications that are monitored by the analytics engine are detected and a VPN connection is established for routing the communications between the monitored app an a public website. If the mobile device switches to WiFi usage, the analytics agent disconnects the VPN connection and routes data directly to the public website. Thus, data usage of the monitored applications can be reported by the VPN gateway.

Abstract: Enablement of a voice channel being established between an IoT device and a controller through the use of a voice-line service system.

Abstract: A system and method for obtaining usage information for selected applications running on a mobile device. A VPN engine initiates a VPN connection for each selected application when the mobile device is operating in cellular connectivity mode. This results in all data transmitted and received by the mobile device to pass through the VPN connection. A VPN platform can thus identify usage information of the particular application for the particular mobile device.

Abstract: A system and method for obtaining usage information for selected applications running on a mobile device. A VPN engine initiates a VPN connection for each selected application when the mobile device is operating in cellular connectivity mode. This results in all data transmitted and received by the mobile device to pass through the VPN connection. A VPN platform can thus identify usage information of the particular application for the particular mobile device.