Abstract: Application migration recommendation based on energy consumption includes receiving time series data of application energy consumption and application usage metrics associated with an application being considered for migration in a computing environment. Energy aware design catalog having a list of design patterns for migration and associated design detection functions is provided. For each of the design patterns listed in the energy aware design catalog, a design detection function associated with a design pattern is run using the time series data of application energy consumption and application usage metrics, where the design detection function outputs whether the application is suitable for transformation using the design pattern and projected energy savings if the transformation is implemented using the design pattern. A design pattern estimated to have largest projected energy savings is returned as recommended migration for the application.

Abstract: A computer-implemented method may include linking a user's virtual interaction data with a service or product to a virtual token; determining that the virtual token is associated with a user that provided consent to link a virtual avatar to a user's real-world computing device anonymously via TSP scrubbing; linking the virtual avatar to the user's real-world computing device anonymously; determining competitive recency, frequency, and time analysis (CRFT) based on the user's virtual interaction data with the service or product via the virtual avatar; determining, based on the CRFT metrics, a match between the virtual token and the service or product; and communicating to an entity associated with the service or product of a determination of the match between the virtual token and the service or product based on the CRFT metrics.

Abstract: A method, computer program product, and computer system are provided for storing images and/or other data on an edge computing device in an edge computing environment. Data is received from one or more sensors operatively coupled to the edge computing device. One or more features and metadata are extracted from the received data. The extracted features and metadata are compared to a pre-defined tolerance range and one or more exogenous variables. The received data is caused to be stored on either the edge computing device or a second edge computing device based on a determination that the compared features and metadata falls within the tolerance range or outside of the tolerance range, respectively.

Abstract: According to an embodiment of the present invention, a computer system comprises a processor set, one or more computer-readable storage media, and program instructions stored on the one or more computer-readable storage media to cause the processor set to perform operations. The system analyzes a document to obtain parameters including an area of research in the document and metrics for quality of the document. A document influence score of the document is determined based on the parameters. An author influence score is determined based on a quantity of citations to an author of the document. An entity is selected for submission of the document based on the document influence score and the author influence score. The document is electronically submitted to the selected entity. Embodiments of the present invention further include a method and computer program product for electronically submitting a document in substantially the same manner described above.

Abstract: A computer-implemented method that identifies resource efficiency deficit score infrastructure resources in cloud environments based on attributes that influence carbon emission controls at least one of the infrastructure resources based on the infrastructure resource efficiency deficit score of that the infrastructure resource. The infrastructure resource efficiency deficit score can equal BVt/(WBt+BVt), where BVt is a best value point and WBt is a worst value point. According to other illustrative embodiments, a computer system and a computer program product for identifying resource efficiency deficit score infrastructure resources in cloud environments are provided.

Abstract: Techniques are described with respect to a system, method, and computer program product for parallel reality-based content presentation. An associated method includes receiving a viewing event; analyzing the viewing event, and generating a privatized parallel reality-based credential associated with a user based on the analysis.

Abstract: According to one embodiment of the present invention, a system for validating a message comprises one or more memories and at least one processor coupled to the one or more memories. The system generates a template from a message received over a network, and the template indicates template task contexts and template entity contexts. The template is determined as associated with a valid template of a sender indicated in the message. A concavity value representing an amount of sensitive information requested by the message is generated based on differences between task contexts and entity contexts indicated in the message and the template task contexts and template entity contexts. An alert is triggered based on the concavity value. Embodiments of the present invention further include a method and computer program product for validating a message in substantially the same manner described above.

Abstract: An edge device can receive a commercial communication, a scrubbed token list and a telephone number list. Responsive to determining the mobile device is detected in the specific area, whether a telephone number of the mobile device is contained in the telephone number list can be determined. Responsive to determining that the telephone number of the mobile device is contained in the telephone number list, the telephone number of the mobile device, the scrubbed token list and the commercial communication can be communicated to an originating access provider, wherein the originating access provider communicates to the mobile device the commercial communication based, at least in part, upon whether the telephone number of the mobile device matches a token contained in the scrubbed token list.

Abstract: Systems and methods are disclosed herein for optimizing carbonization benefit based on sustainability design principles. A method for optimizing carbonization benefit based on sustainability design principles reading a plurality of sustainability design principles associated with an organization; assigning each sustainability design principle of the plurality of sustainability design principles to one of a plurality of IT categories; computing, based on the design principles assigned to each IT category, a percentage carbon footprint for each of the plurality of sustainability design principles and for each of the IT categories; selecting, based on the computed percentage carbon footprints for each of the IT categories, a most impactful IT category; generating a sorted priority list of sustainability design principles within the most impactful IT category; and recommending an action plan to maximize carbonization benefit to the organization based on the sorted priority list of carbon footprint savings.

Abstract: Provided are a computer program product, system, and method for generating engagement scores using machine learning models for users interacting with virtual objects. Movement parameters are received from tracking devices from a user in a real-world while the user is interacting with a virtual object in the extended-reality environment. The movement parameters are processed to determine a first engagement score indicating user interest in the real-world entity represented by the virtual object. A determination is made of on user information access requests with respect to the real-world entity. The information on the user information access requests is inputted to an engagement machine learning model to output a second engagement score indicating user interest in the real-world entity. The first engagement score and the second engagement score are outputted to provide information on an efficacy of the virtual object in promoting interest in the real-world entity.

Abstract: Techniques are described with respect to a system, method, and computer program product for parallel reality-based content presentation. An associated method includes receiving a viewing event; analyzing the viewing event, and generating a privatized parallel reality-based credential associated with a user based on the analysis.

Abstract: A method, system, and computer program product are configured to: receive camera data from a thermal camera; determine a suggested region of interest (ROI) using the camera data, an object detection model, an anomaly detection model, and a shape recommendation model; determine a final ROI using the suggested ROI and a selection rule; and communicate the final ROI to the thermal camera.

Abstract: A computer-implemented method may include linking a user's virtual interaction data with a service or product to a virtual token; determining that the virtual token is associated with a user that provided consent to link a virtual avatar to a user's real-world computing device anonymously via TSP scrubbing; linking the virtual avatar to the user's real-world computing device anonymously; determining competitive recency, frequency, and time analysis (CRFT) based on the user's virtual interaction data with the service or product via the virtual avatar; determining, based on the CRFT metrics, a match between the virtual token and the service or product; and communicating to an entity associated with the service or product of a determination of the match between the virtual token and the service or product based on the CRFT metrics.

Abstract: Application migration recommendation based on energy consumption includes receiving time series data of application energy consumption and application usage metrics associated with an application being considered for migration in a computing environment. Energy aware design catalog having a list of design patterns for migration and associated design detection functions is provided. For each of the design patterns listed in the energy aware design catalog, a design detection function associated with a design pattern is run using the time series data of application energy consumption and application usage metrics, where the design detection function outputs whether the application is suitable for transformation using the design pattern and projected energy savings if the transformation is implemented using the design pattern. A design pattern estimated to have largest projected energy savings is returned as recommended migration for the application.

Abstract: One embodiment provides a method including dynamically measuring, by a computing device, dust level representing decay in transistor current output by utilizing at least one particle deposition (PD) detection sensor that utilizes machine learning (ML) for condition based photovoltaic (PV) panel cleaning. An ML-based edge process is utilized for managing a cleaning schedule and cleaning fleets. Yield is boosted and dynamic planning is improved based on multiple input sources for the ML-based edge process.

Abstract: A system, method, and computer program product are configured to receive a first hash along with time stamps, wherein the first hash comprises a hash of a branded product and a list of virtual identifications (IDs) which interacted with the branded product in a metaverse, and wherein each of the time stamps corresponds to the time of interaction between each of the virtual ID and the product; receive a hash pre-image; compare the hash pre-image with the first hash; retrieve a list of users associated with the virtual IDs of the first hash; generate tokens, respective ones of the tokens associated with respective ones of the users; and transmit the tokens to a server associated with the branded product.

Abstract: A workload allocation engine is configured to allocate a workload in a cloud architecture. A data center for an enterprise is identified, and for the data center, a plurality of servers within the data center and a plurality of virtual machines (VMs) running on the servers are identified. Based upon at least one predetermined factor, a plurality of clusters of the servers generated. For each of the clusters, a plurality of time-series variables are tracked. For each of the clusters and the workload, carbon emissions generated by a particular cluster and for the workload are predicted. The workload is assigned to the particular cluster based upon the predicted carbon emissions associated with the particular cluster, and the workload is performed by the particular cluster.

Abstract: A method is presented including inspecting a cell site, in real-time, with an unmanned aerial vehicle (UAV) including an edge-based artificial intelligence (AI) component mounted thereon, capturing, by one or more cameras of the UAV, a plurality of images pertaining to at least antennae and communication equipment associated with the cell site, identifying, by the AI component, in real-time, the plurality of images to dynamically apply AI inspection models thereto, and generating, in real-time, an inspection report based on information and data derived from applying the AI inspection models to the plurality of images captured.

Abstract: A method, computer program product, and computer system are provided for storing images and/or other data on an edge computing device in an edge computing environment. Data is received from one or more sensors operatively coupled to the edge computing device. One or more features and metadata are extracted from the received data. The extracted features and metadata are compared to a pre-defined tolerance range and one or more exogenous variables. The received data is caused to be stored on either the edge computing device or a second edge computing device based on a determination that the compared features and metadata falls within the tolerance range or outside of the tolerance range, respectively.

Abstract: A method includes enabling a plurality of users to interact with a virtual world, each of the users represented as one or more avatars in the virtual world, obtaining preferences and consent of each of the users, displaying promotional messages to a user of the plurality of users in the virtual world based on the user's preferences and consent, and after displaying the promotional messages to the user, filtering the user's preferences and consent from the virtual world to remove transaction footprints.