Abstract: Aspects of the present disclosure relate to personal protective equipment (PPE) management. A set of personal protective equipment (PPE) data describing use time limits of respective PPE articles of a set of PPE articles can be received. Use of a PPE article of the set of PPE articles can be monitored using one or more sensors. A determination can be made whether a PPE usage rule of the PPE article is satisfied based on the monitoring, where the PPE usage rule is based on at least a use time limit of the PPE article. A PPE recommendation action can be issued in response to determining that the PPE usage rule of the PPE article is satisfied.

Abstract: A system and method for bandwidth management are provided. In embodiments, a method includes: training, by a computing device, a predictive machine learning (ML) model based on historic network usage data of software applications in a cloud environment and historic business context data; assigning, by the computing device, priority rankings to software application activities of the cloud environment using the predictive ML model based on predicted resource requirements for the software application activities of the cloud environment and predicted contextual scenarios that impact the predicted resource requirements using an input of real-time network usage data of the cloud environment and real-time business context data; and initiating, by the computing device, scheduling of the software application activities based on the priority rankings.

Abstract: A system and method for bandwidth management are provided. In embodiments, a method includes: training, by a computing device, a predictive machine learning (ML) model based on historic network usage data of software applications in a cloud environment and historic business context data; assigning, by the computing device, priority rankings to software application activities of the cloud environment using the predictive ML model based on predicted resource requirements for the software application activities of the cloud environment and predicted contextual scenarios that impact the predicted resource requirements using an input of real-time network usage data of the cloud environment and real-time business context data; and initiating, by the computing device, scheduling of the software application activities based on the priority rankings.

Abstract: A computer-implemented method includes: monitoring, by a computing device, network communications to a server; determining, by the computing device, a threat to the server based on the monitoring; determining, by the computing device, a risk level of the threat; selecting, by the computing device, a response to the threat based on the determined risk level, wherein the response is selected from a predefined set of responses; initiating, by the computing device, the selected response.

Abstract: A document of written content may be obtained. The document may be a candidate for inclusion in a corpus. A first entity associated with the document may be identified. A first discrete entity associated with the first entity may be identified. The relationship associated with the first entity and the first discrete entity may be analyzed. Based on the analyzing, a likelihood that the document contains content that would be detrimental for inclusion in the corpus may be determined.

Abstract: Universal serial bus (USB) devices are evaluated for access according to characteristics including descriptors and ROM information. Descriptors are cross-references to historic descriptors known to be associated with malicious or approved USB devices. ROM information is analyzed to determine congruity of data. Device drivers and configuration files on the USB device are reviewed for indicators of compromise or threat and assigned a corresponding security score. Security actions are taken according to a security score assigned according to matching descriptors and analyzed ROM information.

Abstract: Aspects of the present disclosure relate to personal protective equipment (PPE) management. A set of personal protective equipment (PPE) data describing use time limits of respective PPE articles of a set of PPE articles can be received. Use of a PPE article of the set of PPE articles can be monitored using one or more sensors. A determination can be made whether a PPE usage rule of the PPE article is satisfied based on the monitoring, where the PPE usage rule is based on at least a use time limit of the PPE article. A PPE recommendation action can be issued in response to determining that the PPE usage rule of the PPE article is satisfied.

Abstract: Systems and methods provide dynamic adjustment of content displayed on image-enabled clothing articles to address obstructed visibility of the content. In embodiments a method includes determining, by a computing device, movement of at least a portion of an image-enabled clothing article based on real-time sensor data from sensors of the image-enabled clothing article; determining, by the computing device, that a view of at least a portion of image content displayed on the image-enabled clothing article is obstructed based on the determined movement, parameters of the image-enabled clothing article and image display information of the image-enabled clothing article; and generating, by the computing device, image instructions that cause the display of the image content on the image-enabled clothing article to move from a first area of the image-enabled clothing article to a second area of the image-enabled clothing article.

Abstract: A method, computer program product, and system includes a processor(s) determining, based on obtaining data from the one or more sensors over the wireless communications connection, that individuals are within a given vicinity. The processor(s) queries personal computing devices associated with the individuals to determine an identity of each individual in the given vicinity. The processor(s) assigns a service provider(s) to a portion of the identified individuals. The processor(s) obtains preference information related to the portion and determines environmental information related to an environment experienced by the portion by locating at least one sensor within a predetermined distance of the portion, and communicating, over the wireless communications connection, with the at least one sensor. The processor(s) generate simulations for providing services to the portion that include temporal parameters and selects an optimal simulation.

Abstract: A processor may load one or more potential updates to a trusted source from an identified trusted source. The processor may determine acceptable update windows. The processor may apply at least one of the one or more potential updates to the computing device. The processor may identify if a steady state has been reached. The processor may determine whether the at least one update has succeeded.

Abstract: Monitoring medicine dispensing is disclosed. A set of events from an intelligent container is received. The intelligent container belongs to a set of intelligent containers, each container associated with a medicine. It is determined whether the set of events satisfies a rule associated with the intelligent container. If the rule is satisfied, a message is created to be sent to a subscribing device as a result of the determination.

Abstract: Data-analysis-based processing is provided to validate audio content delivery via embedded inaudible sound signals. The processing obtains, by a validation system, an indication of detection of an inaudible sound signal embedded in an audio output of provided content initiated by a user on a user-device. The inaudible sound signal is inaudible to the user, and the audio output is from the user-device. Based on obtaining the indication of detection of the inaudible sound signal embedded in the audio output, the validation system validates that the audio output of the provided content is ON with respect to the user-device.

Abstract: A method, computer program product, and a system where a processor(s) obtains data related to physical activities performed by an individual from a sensor(s) proximate to the individual. The processor(s) cognitively analyzes the data to identify baseline behavioral patterns of the individual, when the individual is engaged in each of the physical activities. The processor(s) obtains data indicating consumption of a substance by the individual at a first time. The processor(s) determines impacts of the consumption on the baseline behavioral patterns of the individual and generates a data structure (a predictive model) that includes expected deviations from the baseline behavioral patterns of the individual, when the individual has consumed the substance.

Abstract: Embodiments of the present invention provides a systems and methods for pest control. The system detects one or more pests based on receiving sensor data from one or more sensors associated with a predefined location. The system analyzes the sensor data with cognitive machine learning based on the detected pests. The system generates a treatment recommendation report based on the analysis and outputs the treatment recommendation report.

Abstract: A processor may load one or more potential updates to a trusted source from an identified trusted source. The processor may determine acceptable update windows. The processor may apply at least one of the one or more potential updates to the computing device. The processor may identify if a steady state has been reached. The processor may determine whether the at least one update has succeeded.

Abstract: A security application may monitor applications attempting to be installed on a user device. In one example, various steps may include at least one of: receiving an application access operation on a computing device, identifying at least one application action associated with the application access operation, retrieving an application security profile stored in memory, identifying at least one application security restriction in the application security profile related to the at least one application action, restricting the at least one application action from occurring based on the at least one application security restriction and notifying a pre-registered device responsive to restricting the at least one application action.

Abstract: Disclosed embodiments provide techniques for providing vehicular recommendations based on driver habits. Embodiments utilize a variety of input data, including, but not limited to, static vehicular data, dynamic vehicular data, and/or environmental data. In embodiments, empirical rules are used to adjust recommended maintenance schedules based on the input conditions. Additionally, the adjusted recommendations along with unscheduled maintenance data are input to a machine learning system, such as a neural network. The machine learning system is used to further revise the maintenance schedule, estimate end of life of the vehicle, and issue recommendations for when to sell a vehicle and recommendations on attributes of a new vehicle for acquisition.

Abstract: A user may be aided in modifying a product that is an assemblage of parts. This aid may involve a processor obtaining images of a target part captured by the user on a mobile device camera. The processor may compare, based on the captured images and a plurality of images of identified parts, the target part to the identified parts. Based on the comparison, the processor may determine an identity of the target part. This aid may also involve a processor obtaining images of a first configuration of a partial assembly of the product captured by a mobile device camera. The processor may compare, based on the captured images, the first configuration to a correct configuration of the partial assembly. Based on the comparison, the processor may determine that the first configuration does not match the correct configuration and may notify the user accordingly.

Abstract: A processor may receive information regarding risk mitigation approaches. The information regarding risk mitigation approaches may be stored in a database accessible to a risk assessment AI model. The processor may receive information regarding risks associated with the area. The processor may determine, using the risk assessment AI model, a current risk evaluation associated with the area. The processor may determine, using the risk assessment AI model, recommended risk mitigation measures based on the current risk evaluation.

Abstract: A method and associated system for processing content, including document, received from a search of information. A subject of each received document is determined. A contributor who is associated with, and is not an author of, each respective document is determined. Each contributor is queried as to a veracity of each respective document, after which a communication from each contributor verifying the veracity of each respective document is received. An education type of an author of each respective document is classified as being formal education, self-taught, or experience as indicative of an expertise level of the author of each respective document. A plurality of credentials of each contributor is received and confirmed. Prior to the subject of each received document having been determined, signatures are published to the Internet. The signatures include signed content of each respective document signed by the contributor associated with each respective document.