Abstract: Techniques are provided for the telematics operation of autonomous vehicles. In one embodiment, the techniques involve identifying an emergency situation and a corresponding emergency site, identifying a first vehicle and a first vehicle information, identifying a second vehicle and a second vehicle information, generating a mobility path of the first vehicle based on the first vehicle information and the second vehicle information, and upon determining that a first location of the second vehicle overlaps with an emergency location, transmitting commands to move the second vehicle to a second location.

Abstract: Techniques are provided for vehicle and mobility path recommendations. In one embodiment, the techniques involve identifying emergency response factors in historical telematics data, categorizing emergency situation outcomes based on the emergency response factors, identifying patterns between the emergency response factors and the emergency situation outcomes, generating a vehicle recommendation based on the identified patterns, determining a location of a vehicle referenced by the vehicle recommendation, generating a mobility path recommendation based on the vehicle recommendation and the location of the vehicle referenced by the vehicle recommendation, and transferring the vehicle recommendation and the mobility path recommendation to an emergency services entity.

Abstract: According to one embodiment, a method, computer system, and computer program product for selective image processing. The embodiment may include receiving a digital image for selective image processing. The embodiment may include identifying a context of the selective image processing. The embodiment may include performing object detection within the received digital image to identify one or more depicted objects based on the identified context. The embodiment may include overlaying, on at least one portion of the received digital image, one or more bounding boxes which encompass relative positions of the identified one or more depicted objects. The embodiment may include performing the selective image processing exclusively within the one or more overlaid bounding boxes.

Abstract: Disambiguation of search keywords to expert systems is performed through the application of a semantic ranking function to determine a classification category with confidence for a given query. The semantic ranking function is executed through an application of a semantic distance distribution profile score through analysis of user problem statement (UPS) with nodes in the taxonomy in the same vector space to create a search that combines a user problem statement and a taxonomical node in the search engine index. The distribution profile score calculation is provenance influenced to derive geographic, cultural, and demographic provenance for a user problem statement.

Abstract: According to one embodiment, a method, computer system, and computer program product for contextual accessway opening is provided. The embodiment may include determining an occurrence of an activity utilizing a vehicle access point is to occur within a preconfigured period of time. The embodiment may also include identifying a contextual orientation of a door of the vehicle access point based on environmental data and historical data. The embodiment may further include generating a plan to orient the door according to the identified contextual orientation. The embodiment may also include performing the generated plan.

Abstract: Machine-learning-based determination of event stability is provided to facilitate loose coupling of event coordination systems. The method includes training a machine learning model to determine stability of events of an event coordination system based on a plurality of attributes of the events, and using the machine learning model to determine an event stability for an event of the event coordination system. Further, the method includes comparing the determined event stability for the event to a stability threshold, and determining that the event is a stable event based on the event stability extending the stability threshold. Based on determining that the event is the stable event, the stable event is propagated from the event coordination system to another event coordination system.

Abstract: Aspects of the present disclosure relate generally to reduction in environmental pollution and, more particularly, to systems and method of carbon dioxide (CO2) sequestration in the atmosphere. For example, a computer-implemented method includes receiving, by a computing device, locations of an atmospheric pollutant; determining, by a computing device, a location of a target area of the atmospheric pollutant for sequestration; determining, by the computing device, positioning and flight path data for airborne sequestration devices to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant; and deploying, by the computing device, the airborne sequestration devices with reagent according to the positioning and the flight path data to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: building, by one or more DNA processor, a DNA strand corresponding to a conditional expectation. The methods include, for instance: obtaining, by one or more DNA processor, a conditional expectation having a regularization metric.

Abstract: Embodiments herein disclose computer-implemented methods, computer program products and computer systems for context based online garage offering. The computer-implemented method may include receiving listing data from the seller users corresponding to items offered for sale, wherein the one or more seller users and one or more buyer users are registered with a web-based exchange platform based on user registration data; determining a seller context for the items based on the user registration data and the listing data; receiving historical item data for the items; determining disposal costs versus carry costs for the items based on the historical item data; determine potential buyers based on the listing data and potential buyer activity of the buyers; determining a buyer context based on the user registration data and the potential buyer activity; generating offer data for the items; and presenting the offer data to the seller users via a computing device user interface.

Abstract: Described are techniques for cybersecurity incident mitigation. The techniques include detecting, by an Endpoint Detection and Response (EDR) function in a networked environment comprising a plurality of endpoints, a security incident on a first endpoint of the plurality of endpoints. The techniques further include identifying an administrator of the first endpoint and initiating a process requiring Multi-Factor Authentication (MFA) associated with the administrator of the first endpoint by transmitting a push notification to a second device associated with the administrator and receiving a response to the push notification from the second device. The techniques further include characterizing, by the EDR function, a maliciousness of the security incident based on the response.

Abstract: A computer that identifies the video. The computer annotates the video using a deep learning tool. The computer analyzes the annotated video to highlight a dangerous condition. The computer identifies a video from a repository with the dangerous condition. The computer analyzes the video and the video from the repository using a similarity analysis. The computer determines a score based on the annotated video and based on comparing the video to the video from the repository and based on determining the score is above a threshold value, the computer generates an action.

Abstract: A computer-implemented method, a computer system and a computer program product enhance content submissions of support chats. The method includes acquiring a support request from a user, wherein the support request includes a content submission. The content submission is selected from a group consisting of audio data, image data and text data. The method also includes determining a classification of the support request based on a request type. The method further includes obtaining a set of requirements for the support request from a server based on the determined classification. In addition, the method includes determining that the content submission does not meet the set of requirements. Lastly, the method includes generating an augmented reality inspector to assist the user in adding content to meet the set of requirements in response to the set of requirements not being met by the content submission.

Abstract: A capture operation is identified. The capture operation is of a video stream of a subject located in an environment. The capture operation is performed by a first capture device from a first perspective of the subject. A perspective update request of the video stream is received. In response to the perspective update request, one or more candidate capture devices in the environment is detected. A second capture device is selected as a selected capture device, from the one or more candidate capture devices. The second capture device is instructing to perform the capture operation based on the selection. The video stream is transferred from the first capture device to the second capture device. The transferring updates the video stream to a second perspective of the subject.

Abstract: Aspects of the present disclosure relate generally to reduction in environmental pollution and, more particularly, to systems and method of carbon dioxide (CO2) sequestration in the atmosphere. For example, a computer-implemented method includes receiving, by a computing device, locations of an atmospheric pollutant; determining, by a computing device, a location of a target area of the atmospheric pollutant for sequestration; determining, by the computing device, positioning and flight path data for airborne sequestration devices to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant; and deploying, by the computing device, the airborne sequestration devices with reagent according to the positioning and the flight path data to sequester the atmospheric pollutant at the location of the target area of the atmospheric pollutant.

Abstract: Text is received from a user describing item(s) for migration to a computing environment with cloud feature(s), resulting in item description(s), the text including unstructured text that are processed separately. Text mining is performed on the unstructured text to extract item feature(s). For each listing a portion of the unstructured text is extracted, resulting in an extracted text portion for each listing from which an entity is identified. Each entity or item feature is mapped to cloud feature(s) available from solution(s) with cloud feature(s). Based on the cloud feature(s), recommendation(s) are made to the user regarding cloud feature(s) of the solution(s) for optional consideration by the user. Explanation(s) for the recommended cloud feature(s) from explainability model(s) may be provided to the user.

Abstract: A computer-implemented method, including: analyzing, by a computing device, historical information associated with a business application; determining, by the computing device, a business process based on the analyzed historical information; generating, by the computing device, a virtual reality simulation of the business process; identifying, by the computing device, a business application requirement based on a user interaction with the virtual reality simulation; and generating, by the computing device, the ad-hoc application based on the identified business application requirement.

Abstract: A computer-implemented method includes: predicting, by a computing device, devices for inclusion in an interface; generating, by the computing device, the interface including areas corresponding to the devices; detecting, by the computing device, a user selection of one of the areas of the interface; detecting, by the computing device, a hand gesture associated with the selected one of the areas; and transmitting, by the computing device, data defining the hand gesture to a respective one of the devices corresponding to the selected one of the areas, thereby causing the respective one of the devices to execute a command based on the hand gesture.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: storing into a storage device a video data file; examining video file data defining the video data file, wherein the examining includes determining a relevancy of a section of the video data file; reducing a size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file; storing a reduced-size version of the video data file into the storage device, the reduced-size version of the video data file having a reduced size relative to the video data file by performance of the reducing the size of file data defining the section of the video data file in dependence on the determining the relevancy of the section of the video data file.

Abstract: Hyperlink copyright infringement avoidance is provided. A hyperlink is identified in a post made by a user on a social media website. A review of the hyperlink is performed. An analysis of a post history of the user is performed. The hyperlink is removed from the post to form a sanitized post with a removed hyperlink based on at least one of the review of the hyperlink and the analysis of the post history of the user.

Abstract: A capture operation is identified. The capture operation is of a video stream of a subject located in an environment. The capture operation is performed by a first capture device from a first perspective of the subject. A perspective update request of the video stream is received. In response to the perspective update request, one or more candidate capture devices in the environment is detected. A second capture device is selected as a selected capture device, from the one or more candidate capture devices. The second capture device is instructing to perform the capture operation based on the selection. The video stream is transferred from the first capture device to the second capture device. The transferring updates the video stream to a second perspective of the subject.