Abstract: A method, computer system, and a computer program product for blockchain based resource predictions and management is provided. Embodiments of the present invention may include receiving a request for a prediction of a future resource requirement. Embodiments of the present invention may include loading data structures. Embodiments of the present invention may include classifying collected data. Embodiments of the present invention may include predicting the future resource requirement. Embodiments of the present invention may include adjusting the priority of the future resource requirement. Embodiments of the present invention may include providing notifications.

Abstract: Embodiments of the present disclosure relate to logical channel management in a communication network. In an embodiment, a mapping between a plurality of logical channels of at least one terminal device and a plurality of resource sets of a network device is determined. The resource sets are assigned for communication between the at least one terminal device and the network device via the logical channels. If at least one resource set is overloaded, at least one of the plurality of logical channels is determined based on the mapping. Status information indicating that the at least one logical channel is in a congestion status is caused to be transmitted to a target terminal device of the at least one terminal device, the target terminal device communicating with the network device via the at least one logical channel.

Abstract: Embodiments of the present disclosure relate to logical channel management in a communication network. In an embodiment, a mapping between a plurality of logical channels of at least one terminal device and a plurality of resource sets of a network device is determined. The resource sets are assigned for communication between the at least one terminal device and the network device via the logical channels. If at least one resource set is overloaded, at least one of the plurality of logical channels is determined based on the mapping. Status information indicating that the at least one logical channel is in a congestion status is caused to be transmitted to a target terminal device of the at least one terminal device, the target terminal device communicating with the network device via the at least one logical channel.

Abstract: A method, and associated computer system and computer program product, for cognition enabled driving pattern detection that includes receiving driving related data, storing the driving related data in one or more data repositories, receiving real-time driving data from at least one sensor related to an active driving situation, analyzing the driving related data and the real-time driving data, detecting a predictive driving outcome prior to the occurrence of the predictive driving outcome based on the analyzing, and notifying a driver based on the predictive driving outcome.

Abstract: A method, computer program product, and a system include a processor(s) monitors activities of a user utilizing a navigational application to provide route guidance to a geographic destination. With permission of the user, the processor(s) monitors authorized data sources to obtain data relevant to the user and generate and train a predictive model to determine a probability that the user will experience a wellness issue based on experiencing environmental factors. The processor(s) obtains a request to receive route guidance to the desired destination, via the navigational application and generates a recommended route to the desired destination, based on applying the predictive model to environmental data obtained from a portion of the authorized data sources. The recommended route avoids one or more locations en route to the desired destination where there is a given environmental issue that the predictive model indicates will present a wellness issue for the user.

Abstract: An approach is provided that trains neural network by receiving data inputs to a cloud-based system from users, gathering a sets of responsive system data from the cloud-based system, and training the neural network by passing the received data inputs and corresponding sets of responsive data through the neural network. After the training is performed, the approach receives user actions from a user of the cloud-based system, inputs the user actions to the trained neural network and receives one or more predicted next user actions from the trained neural network. Based on the predicted next user actions, the approach then performs a proactive response at the cloud-based system.

Abstract: A method, computer system, and a computer program product for blockchain based resource predictions and management is provided. Embodiments of the present invention may include receiving a request for a prediction of a future resource requirement. Embodiments of the present invention may include loading data structures. Embodiments of the present invention may include classifying collected data. Embodiments of the present invention may include predicting the future resource requirement. Embodiments of the present invention may include adjusting the priority of the future resource requirement. Embodiments of the present invention may include providing notifications.

Abstract: A user reading statistic data set relating to a natural language document is received. The user reading statistic data set includes information indicative of at least one of a set of user reading statistic types. A set of machine logic rules is applied to the user reading statistic data set to generate, as reading assistance to the reader with reading the natural language document, a user reading comprehension data set including information indicative of reading comprehension with respect to content of the natural language document.

Abstract: The present disclosure provides, in part, methods, computer program products, systems, for providing a method. In one embodiment a method can include for example applying tags to a first document according to a tagging map; and applying tags to a second document according to the tagging map. In one embodiment a method can include parsing first content of a first document and second content of a second document using a tagging map; and generating an output document using the tagging map, wherein the generating included presenting in first and second different areas defining the output document the first content and the second content. In one embodiment, a method can include providing a custom tagging map based on one or more user defined input; and applying tags to a document using the custom tagging map.

Abstract: A method, computer program product, and a system include a processor(s) monitors activities of a user utilizing a navigational application to provide route guidance to a geographic destination. With permission of the user, the processor(s) monitors authorized data sources to obtain data relevant to the user and generate and train a predictive model to determine a probability that the user will experience a wellness issue based on experiencing environmental factors. The processor(s) obtains a request to receive route guidance to the desired destination, via the navigational application and generates a recommended route to the desired destination, based on applying the predictive model to environmental data obtained from a portion of the authorized data sources. The recommended route avoids one or more locations en route to the desired destination where there is a given environmental issue that the predictive model indicates will present a wellness issue for the user.

Abstract: An approach is provided that trains neural network by receiving data inputs to a cloud-based system from users, gathering a sets of responsive system data from the cloud-based system, and training the neural network by passing the received data inputs and corresponding sets of responsive data through the neural network. After the training is performed, the approach receives user actions from a user of the cloud-based system, inputs the user actions to the trained neural network and receives one or more predicted next user actions from the trained neural network. Based on the predicted next user actions, the approach then performs a proactive response at the cloud-based system.

Abstract: A method, and associated computer system and computer program product, for cognition enabled driving pattern detection that includes receiving driving related data, storing the driving related data in one or more data repositories, receiving real-time driving data from at least one sensor related to an active driving situation, analyzing the driving related data and the real-time driving data, detecting a predictive driving outcome prior to the occurrence of the predictive driving outcome based on the analyzing, and notifying a driver based on the predictive driving outcome.

Abstract: The present disclosure provides, in part, methods, computer program products, systems, for providing a method. In one embodiment a method can include for example applying tags to a first document according to a tagging map; and applying tags to a second document according to the tagging map. In one embodiment a method can include parsing first content of a first document and second content of a second document using a tagging map; and generating an output document using the tagging map, wherein the generating included presenting in first and second different areas defining the output document the first content and the second content. In one embodiment, a method can include providing a custom tagging map based on one or more user defined input; and applying tags to a document using the custom tagging map.

Abstract: A user reading statistic data set relating to a natural language document is received. The user reading statistic data set includes information indicative of at least one of a set of user reading statistic types. A set of machine logic rules is applied to the user reading statistic data set to generate, as reading assistance to the reader with reading the natural language document, a user reading comprehension data set including information indicative of reading comprehension with respect to content of the natural language document.

Abstract: An operation of a user on a document is received. The received operation is analyzed. A structured guiding view for the document is generated by using a result of the analyzing and a basic structure of the document. In certain implementations, a user's reading interests and reading habits may be analyzed through the user's reading behaviors or notations added to the document by the user, and the result of the analyzing may be mapped into an intuitively presentable structured guiding view for the document.

Abstract: The present disclosure provides, in part, methods, computer program products, systems, for providing a method. In one embodiment a method can include for example applying tags to a first document according to a tagging map; and applying tags to a second document according to the tagging map. In one embodiment a method can include parsing first content of a first document and second content of a second document using a tagging map; and generating an output document using the tagging map, wherein the generating included presenting in first and second different areas defining the output document the first content and the second content. In one embodiment, a method can include providing a custom tagging map based on one or more user defined input; and applying tags to a document using the custom tagging map.

Abstract: The present disclosure provides, in part, methods, computer program products, systems, for providing a method. In one embodiment a method can include for example applying tags to a first document according to a tagging map; and applying tags to a second document according to the tagging map. In one embodiment a method can include parsing first content of a first document and second content of a second document using a tagging map; and generating an output document using the tagging map, wherein the generating included presenting in first and second different areas defining the output document the first content and the second content. In one embodiment, a method can include providing a custom tagging map based on one or more user defined input; and applying tags to a document using the custom tagging map.

Abstract: An operation of a user on a document is received. The received operation is analyzed. A structured guiding view for the document is generated by using a result of the analyzing and a basic structure of the document. In certain implementations, a user's reading interests and reading habits may be analyzed through the user's reading behaviors or notations added to the document by the user, and the result of the analyzing may be mapped into an intuitively presentable structured guiding view for the document.