Abstract: Methods and systems for simultaneous message blocking and delivery are disclosed. A method includes: receiving, by a computing device, from a first user, a first message and a request to transmit the first message as a simultaneous message; receiving, by the computing device, an additional message from each of at least one additional user; determining, by the computing device, using natural language processing, a similarity score for each of the additional messages; and in response to the similarity score for each of the additional messages exceeding a predetermined threshold, the computing device transmitting the first message and the additional messages.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for managing the distinctiveness of multimedia. The exemplary embodiments may include detecting an input of multimedia data, extracting one or more features from the multimedia data, and determining a distinctiveness of the multimedia based on applying one or more models to the extracted one or more features.

Abstract: A second device seeking to access a network can be detected using a first device communicatively coupled to the network. Responsive to detecting the second device seeking to access the network, the first device can be caused to communicatively uncouple from the network and whether the second device poses a risk of corrupting the network's intended functioning if the second device accesses the network can be determined by the first device.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for routing participants to meetings. The exemplary embodiments may include determining whether a participant has a unique identification number (UID) that matches a meeting UID, collecting participant data corresponding to the participant, extracting one or more features from the collected participant data, and routing the participant to join one or more meetings based on applying one or more models to the extracted one or more features.

Abstract: A permeability modeling system is provided. An optimal permeability model for, at least, one independent zone based, at least in part, on data associated with the, at least, one independent zone is determined. The optimal permeability model from a plurality of permeability models is determined. one or more predicted geographic images that are associated with, at least, (i) one independent zone and (ii) at least one optimal permeability model is generated.

Abstract: A method, a computer system, and a computer program product for managing content relevancy is provided. Embodiments of the present invention may include collecting and analyzing a plurality of data, wherein the plurality of data includes document data, document access data and user data. Embodiments of the present invention may include retrieving topic model content based on the plurality of data. Embodiments of the present invention may include building a machine learning (ML) model to determine one or more topics contained in the topic model content. Embodiments of the present invention may include generating a heatmap based on the user data. Embodiments of the present invention may include building a content relevancy model (CRM) based on the ML model and the heatmap. Embodiments of the present invention may include determining an action state for the document data. Embodiments of the present invention may include storing the CRM.

Abstract: Systems and methods for determining hardware requirements for a wireless network event are disclosed. In embodiments, a method comprises obtaining, by a computing device, social user data over a period of time from a plurality of mobile devices associated with a social event at a location; obtaining, by the computing device, bandwidth usage data for each of the plurality of mobile devices based on the social user data; obtaining, by the computing device, crowd density and traffic pattern data related to the social event; determining, by the computing device, participant movement data for the social event based on the crowd density and traffic pattern data; deriving, by the computing device, a social bandwidth density model based on the bandwidth usage data and the participant movement data; and determining, by the computing device, bandwidth requirements within a geo-spatial boundary associated with the social event from the social bandwidth density model.

Abstract: A method, computer program product, and system for generating holistic maps and relocating social media assets. The computer may receive a plurality of social media assets to be relocated or merged from a user. A snapshot of each asset within the plurality of social media assets may be generated. The snapshot may be a record of the plurality of social media assets at any one time. A machine learning model may be generated for the plurality of social media assets based on the generated snapshot. A projected location may be identified based on the generated machine learning model. A new snapshot may be generated based on the projected location. It may be determined whether a transaction was successful based on a comparison of the snapshot with the new snapshot. An action may be performed based on the determination.

Abstract: Systems and methods for determining hardware requirements for a wireless network event are disclosed. In embodiments, a method comprises obtaining, by a computing device, social user data over a period of time from a plurality of mobile devices associated with a social event at a location; obtaining, by the computing device, bandwidth usage data for each of the plurality of mobile devices based on the social user data; obtaining, by the computing device, crowd density and traffic pattern data related to the social event; determining, by the computing device, participant movement data for the social event based on the crowd density and traffic pattern data; deriving, by the computing device, a social bandwidth density model based on the bandwidth usage data and the participant movement data; and determining, by the computing device, bandwidth requirements within a geo-spatial boundary associated with the social event from the social bandwidth density model.

Abstract: The present invention provides a method and system for monitoring vehicle occupant safety. Biometric conditions of an occupant within an autonomous vehicle currently in motion are monitored via a plurality of sensors. The biometric conditions are analyzed with respect to predetermined baseline biometric conditions associated with the occupant and a medical emergency situation associated with occupant within the autonomous vehicle currently in motion is determined. In response, predetermined actions associated with resolving the emergency medical situation are executed and a resulting notification indicating the medical emergency situation is transmitted to a predetermined entity.

Abstract: A method, computer system, and computer program product for dynamic meeting agenda management are provided. The embodiment may include establishing a baseline set of agenda items prior to meeting commencement. The embodiment may also include identifying meeting participants based on actual real-time meeting attendance. The embodiment may further include monitoring an attendance and a participation of the meeting participants. The embodiment may also include identifying the agenda items that meet selection criteria using a coverage triggering mechanism. The embodiment may further include updating the order of the agenda items based on the agenda item that meet selection criteria first.

Abstract: A method, computer system, and computer program product for autonomous pending notification deletion are provided. The embodiment includes receiving a notification queue associated with a user on a user device. The embodiment also includes retrieving data related to multiple notifications from a user electronic calendar. The embodiment further includes determining a user current location. The embodiment also includes comparing each notification in the notification queue against the determined user current location. The embodiment further includes deriving a notification decision model based on the received notification queue, retrieved data, and the user current location. The embodiment also includes performing an action to manage the notification queue based on the derive notification decision model.

Abstract: In an approach to training a corpus link model and generating collocated terms for intra-channel and inter-channel activity, one or more computer processors train a corpus link model based on an analysis of a linguistic corpus and an analysis of one or more author metrics. The one or more computer processors generate one or more collocated terms based on one or more calculations by the trained corpus link model. The one or more computer processors generate a co-occurrence rating for each of the one or more generated collocated terms. The one or more computer processors display the one or more generated collocated terms according to the generated co-occurrence rating of each collocated term.

Abstract: A method, system and computer program product for automatically distributing tasks within a group includes identifying, by one or more processors, first data associated with each member of a group. The one or more processors identify second data associated with demands for the group, calculate a total work time for each member of the group using the first data, identify conflicts between the total work time for each member of the group and the second data, and based on the identified conflict, distribute tasks among members of the group.

Abstract: A method and system for enabling climate control is provided. The method includes monitoring a refrigerated section of a vehicle. The refrigerated section includes a first cargo container comprising a first cargo type and first sensors describing the first cargo type. A cooling apparatus of the vehicle is currently maintaining a first specified temperature range within the refrigerated section. Second integrated cargo sensors describing a second cargo type of a second cargo container being placed within the refrigerated section of the vehicle are detected and associated data is analyzed. A second specified temperature range for storing the second cargo type is determined and compared to the first specified temperature range. An associated difference is compared to a temperature range threshold value and a response action associated with the first cargo container and the second cargo container is executed.

Abstract: Systems and methods for digitally grouping users are disclosed. A method includes: receiving user attribute information from a user computer device and service provider attribute information from a service provider computer device; analyzing the user attribute information and the service provider attribute information based on the receiving; classifying the user attribute information and the service provider attribute information into a digital user group based on the analyzing; and scheduling an programming event for a user of the user computer device based on the classifying.

Abstract: The present invention provides a method and system for coordinating the rendezvous of an autonomous automotive vehicle with an ambulance in a fastest manner possible when an emergency medical situation occurs for a passenger in the autonomous automotive vehicle. In order to minimize time delays in providing emergency medical service to the passenger, a safe rendezvous location is selected which requires the shortest travel times for both the ambulance and the autonomous automotive vehicle to meet at a, preferably simultaneous, arrival time.

Abstract: Approaches presented herein enable providing a user with a procurement context notification. More specifically, a selection of an item for procurement by a user through an e-commerce enabled website is obtained. The item, including a use for the item, is identified. A web pointer to web accessible media provided by a third party source that describes the use for the identified item is then retrieved from a browsing history of the user. A description of this web accessible media is generated based on content from the web accessible media. The description and/or the web pointer are attached to a procurement confirmation document, which is then sent to the user. The confirmation document with the attached description and web pointer can be a physical document for inclusion with a physical package containing the item to be transported to the user.

Abstract: A computing device includes an interface configured to interface and communicate with a communication system, a memory that stores operational instructions, and processing circuitry operably coupled to the interface and to the memory that is configured to execute the operational instructions to perform various operations. The computing device monitors navigation activity of another computing device with website(s) to generate client navigation history and server navigation history. The computing device also facilitates storage of the client navigation history based on a first blockchain and storage of the server navigation history based on a second blockchain. Based on a request to deliver tailored content from a website to the computing device, the computing device determines whether the client navigation history based on the first blockchain compares favorably to the server navigation history based on the second blockchain and selectively delivers or blocks the tailored content.

Abstract: A system and method for generating dynamic, non-subjective hashtags using a corpus-based approach includes capturing social media outputs from a user and from cohorts of the user to create a user corpora and a user cohort corpora, respectively, storing the user corpora and the user cohort corpora in a computer readable storage device coupled to the computing system, deriving a hashtag collation model by analyzing the user corpora and the user cohort corpora, the hashtag collation model being stored on the computer readable storage device, generating a best matched hashtag using the hashtag collation model, wherein the hashtag collation model infers the optimal hashtag from the user corpora and user cohort corpora based on a usage of one or more terms within the user corpora and the user cohort corpora, and adjusting the best matched hashtag over time as the user corpora and the user cohort corpora change over time.