Abstract: According to one embodiment, a method, computer system, and computer program product for establishing access to vehicles is provided. The embodiment may include identifying at least two devices, including a requesting device and a target device. The embodiment may also include identifying one or more networks, including at least one alternative network. The embodiment may further include evaluating each network from the one or more networks to determine a best network. The embodiment may also include establishing access from the requesting device to the target device over the determined best network.

Abstract: A method, computer system, and a computer program product for ontology adaptation is provided. The present invention may include constructing a process ontology for an industrial floor. The present invention may include generating a digital twin of the industrial floor. The present invention may include performing a simulation of the digital twin using the process ontology. The present invention may include generating one or more new process ontologies based on inefficiencies identified during the simulation. The present invention may include providing one or more recommendations to a user.

Abstract: Systems, methods, and computer programming products for dynamically managing the uninstallation and/or re-installation of software applications stored or accessed by a computing system, including mobile devices. Management of the applications by the system can be periodically managed automatically or based on recommendations. Management of applications being uninstalled or reinstalled may be determined based on a rate a user accesses the application and/or data published or accessible by an application storefront, such as user reviews, storefront rankings, user feedback and uninstallation rates of the applications by other users. Applications experiencing a decreased level of average user satisfaction below a predetermined threshold can be proposed for deletion or automatically deleted. Replacement of underperforming or unsatisfactory applications with alternative applications having similar functionality but a higher rate of user satisfaction can be recommended or installed.

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: 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: A computer-implemented method for airflow control for agricultural pollination is disclosed. The computer-implemented method includes performing image analysis on an agricultural image to determine a type and classification of one or more plants in the agricultural image, determining one or more pollination requirements for the one or more determined plants, determining one or more current airflow parameters within a predetermined area of the one or more plants in the agricultural image, determining one or more optimal airflow parameters based on the type of plants in the agricultural image, the classification of plants in the agricultural image, the one or more pollination requirements for the plants in the agricultural image, and the one or more current airflow parameters, and generating an automatic airflow adjustment model for optimizing the airflow parameters for the plants based, at least in part, on the one or more determined optimal airflow parameters.

Abstract: A method, computer system, and a computer program product for machine maintenance is provided. The present invention may include receiving data for one or more assets of a physical ecosystem. The present invention may include generating a digital twin of the physical ecosystem. The present invention may include simulating a performance of the digital twin of the physical ecosystem. The present invention may include generating a task management plan based on the performance of the digital twin.

Abstract: According to one embodiment, a method, computer system, and computer program product for determining acoustics in a workplace is provided. The present invention may include performing digital twin simulation of sound generation and at least one machine in the workplace; calculating one or more resultant sound fields in the workplace; identifying sound cancellation potential of a worker's sound cancellation protection; and determining if the worker is wearing proper sound cancellation protection based on the one or more resultant sound fields in the workplace and the sound cancellation potential of the worker's sound cancellation protection.

Abstract: Determining contextual relevance of images to automatically generate notifications is provided. An analysis of an image is performed using a set of machine learning models. A context of a current environment of a user captured in the image is determined based on the analysis of the image. A comparison of the context of the current environment of the user is performed against the known information stored in the knowledge corpus. An insight corresponding to the user activity is generated based on the comparison of the context of the current environment of the user against the known information stored in the knowledge corpus. The insight identifies a set of interested parties corresponding to the user who are to be notified and provides proactive assistance to the user to automatically generate a notification in real time. The notification is generated containing the insight corresponding to the user activity.

Abstract: An embodiment for AI-based direction awareness during content engagement is provided. The embodiment may include receiving a query from a user on a primary device and data relating to an orientation of the primary device. The embodiment may also include presenting display content to the user on the primary device. The embodiment may further include in response to determining directional input is received from the user, identifying a relative distance and direction of the one or more wearable devices to the primary device. The embodiment may also include detecting a reference object. The embodiment may further include identifying a scaled distance of the one or more wearable devices to the reference object. The embodiment may also include adjusting the presented display content to include the reference object in a center of a screen of the primary device.

Abstract: One or more computer processors establish a geofence surrounding a display having a plurality of pixels capable of change based on one or more display capabilities. The one or more computer processors monitor for a change in at least one pixel of the plurality of pixels. The one or more computer processors identify a photosensitive user within the established geofence. The one or more computer processors responsive to the at least one pixel change associated with the display, calculate a photosensitivity score utilizing a model trained for one or more photosensitive conditions associated with the photosensitive user. The one or more computer processors adjust the display to show a change on the at least one pixel based on the calculated photosensitivity score.

Abstract: In an approach to enhancing server virtualization through host sessions by re-screening a remote desktop session of a target virtual machine. Embodiments, identify, on a computer system, an open remote desktop window corresponding to the remote desktop session, and determine, by the computer system, whether one or more second remote desktop windows are embedded in the open remote desktop window. Further, embodiments identify, from the one or more second remote desktop windows, a target remote desktop window associated with the target virtual machine and generate an overlay on the open remote desktop window based on the identification of the target remote desktop window associated with the target virtual machine. Additionally, embodiments capture activity on a remote desktop screen associated with the generated overlay, and executes the captured activity on the generated overlay.

Abstract: According to one embodiment, a method, computer system, and computer program product for mixed-reality emotional modification is provided. The present invention may include collecting biometric information on a user; identifying a mental state of the user based on the biometric information; and, responsive to determining that the mental state does not match an expected baseline associated with a mixed-reality experience, modifying the mixed-reality experience with one or more virtual content elements.

Abstract: In an approach to mixed reality scenario generation for cross industry training, a computer receives data associated with tasks performed by a user. A computer identifies an activity in a first industry associated with the tasks. A computer determines that one or more activities associated with a job in a second industry are similar to the activity in the first industry. A computer generates a mixed reality scenario representing a virtual work environment associated with the second industry using mixed reality. A computer generates the one or more activities associated with the job in the second industry in the mixed reality scenario. A computer displays the virtual work environment associated with the second industry and the one or more activities associated with the job in the second industry to the user in a device for viewing a mixed reality scenario while the user performs the activity in the first industry.

Abstract: Using a trained neural network to transform user ratings into standardized user ratings is provided. Respective attribute-based leniency and strictness rating scores are generated for a plurality of attributes associated with a product category using the trained neural network based on historical user ratings of products in the product category. A set of attributes associated with a product included in the product category is identified. An overall leniency and strictness rating score is determined for the product using the trained neural network based on a set of attribute-based leniency and strictness rating scores for the set of attributes associated with the product included in the product category. A user rating of the product is received. The user rating of the product is adjusted based on the overall leniency and strictness rating score for the product included in the product category to form a standardized user rating for the product.

Abstract: Aspects of the present disclosure relate to web conference contact routing. An indication of a first participant device of a web conference attempting to contact a second participant device of the web conference can be received, where the second participant device is designated as a screen sharer within the web conference during a time of the contact and where the contact is configured to be received on a display shared in the web conference. Two or more candidate devices for routing the contact from the first participant device to can be identified. A candidate device of the two or more candidate devices for routing the contact from the first participant device to can be selected using a set of selection criteria. Contact from the first participant device can be routed to the selected candidate device instead of the display of the second participant device shared in the web conference.

Abstract: The present invention may have a computer that monitors conversation between a user and a first virtual assistant from a plurality of virtual assistants, for a confidence score value being below a confidence threshold value, where the confidence score value is associated with each answer of the first virtual assistant. When the computer determines the confidence score value is below the confidence threshold value, the computer generates a dialog flow for answering by a second virtual assistant, where the dialog flow is related to an answer associated with the confidence score value being below the confidence threshold value. Then, based on determining the second virtual assistant having a second confidence score value that is higher than the confidence score value, the computer transfers a knowledge base data of a topic associated with the dialog flow from the first virtual assistant to the second virtual assistant.

Abstract: In an approach, a processor monitors messaging data between a plurality of users from a first collaboration application. A processor identifies an unanswered message within the first messaging data. A processor, subsequent to identifying the unanswered message, identifies that the plurality of users attends a collaborative session. A processor captures a second messaging data of the collaborative session. A processor determines that the second messaging data contains subject matter that meets a threshold of similarity to the unanswered message. A processor annotates the unanswered message.

Abstract: According to one embodiment, a method, computer system, and computer program product for determining and mapping object properties of virtual reality objects during virtual reality simulation is provided. The present invention may include mapping at least one virtual content object to one or more reference objects; creating at least one virtual reality simulation object based on the mapping of the at least one virtual content object to the one or more reference objects; determining physical properties of the one or more reference objects using behavioral rules; and modifying the at least one virtual reality simulation object based on the determined physical properties of the one or more reference objects.

Abstract: A computer-implemented method according to one embodiment includes embedding natural language processing (NLP) and/or user action capture into a browser to monitor a user's intent when navigating web page(s) within the browser. An indication of a navigation to a first web page via the browser is received and it is determined whether a first action attempted to be taken on the first web page matches the user's intent. In response to a determination that the first action attempted to be taken on the first web page does not match the user's intent, an intent-based blocking action is issued to prevent the first action on the first web page. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.