Abstract: A filter is provided. The filter comprises a plurality of radial pleats. Each of the plurality of radial pleats comprises a first section in a first plane and a second section in a second plane. Further, the first plane is offset with respect to the second plane.

Abstract: Systems, apparatuses, and methods are described for streamlined entitlement authorization. After a new device joins a network, a network device may provide the new device with the option to automatically authenticate the new device for a plurality of services that are available to other devices on the network. A user may choose the option, and the new device may automatically send login requests to the plurality of services, to automatically authenticate the new device.

Abstract: The present specification describes an integrated technology platform that can enable a marketplace and provide self-serve dashboards configured to empower brands and social media influencers to directly connect with each other. The disclosed systems provide social media influencer marketing platforms that manage influencer relationships and marketing campaigns from end-to-end, offer less reliance on middlemen and their experience, and provide a broader, more-integrated set of tools to connect the needs of brands, agencies, influencers, and the social media users. The system comprises an integrated platform that enables an advertising party to find social media influencers who are most suited to the brands' contexts, market appeal, and demographic targets, helps build and manage relationships with the influencers, and identifies fake influencers using machine learning models.

Abstract: Systems and methods of an integrated technology platform create a marketplace providing dashboards configured to allow brands and social media influencers to directly connect with each other. The system includes an integrated platform that enables an advertising party to find social media influencers who are most suited to the brands' contexts, market appeal, and demographic targets, build and manage relationships with the influencers, and identify fake influencers using machine learning models.

Abstract: A 3D rendering solution that can include machine learning to convert static images into interactable 3D objects. The solution can analyze pixel data containing position data, color data and luminosity data. The solution can identify subobjects, which can include a collection of pixels at a specific location, with an infinite number of color luminosity combinations tied to perspective. The solution can use perspective as an input, along with a product feed and library of subobjects to render the interactable 3D objects. The solution can capture relative perspective with a protractic device to accurately measure relative perspective. The libraries can include libraries of subobjects along with their metadata. The solution can analyze pixel patterns to identify appropriate sets of subobjects to create new objects of the same object class, which can be further refined by the solution's ability to capture relative perspective.

Abstract: The present specification describes an integrated technology platform that can enable a marketplace and provide self-serve dashboards configured to empower brands and social media influencers to directly connect with each other. The disclosed systems provide social media influencer marketing platforms that manage influencer relationships and marketing campaigns from end-to-end, offer less reliance on middlemen and their experience, and provide a broader, more-integrated set of tools to connect the needs of brands, agencies, influencers, and the social media users. The system comprises an integrated platform that enables an advertising party to find social media influencers who are most suited to the brands' contexts, market appeal, and demographic targets, helps build and manage relationships with the influencers, and identifies fake influencers using machine learning models.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task. One or more processors estimate a length of time of execution for the unscheduled computing task. One or more processors determine that a scheduled computing task is scheduled to execute while the unscheduled computing task is executing.

Abstract: The problem to be solved is to provide a coupling device (10) that provides efficient engaging and disengaging of the nipple (62) with the coupling device (10) and especially that provides quick release of the nipple (62) with the coupling device (10) after flow of grease through it at high velocity and pressure without exerting excessive pressure on the coupling device (10) by the user, and the problem is solved by providing a coupling device (10) as in present invention that includes a lever (40) with a linkage mechanism that has a roller (48), which movably connects the lever (40) to the slider to move the slider axially forward and backward to disengage and engage the clamping unit (50) with the nipple (62) of the grease fitting by releasing and applying pressure exerted by a protrusion (32) structured at the end of the slider (30) opposite to the side facing the lever (40). FIG. 1 is the representative figure.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task and estimate the time for execution. One or more processors determine that a computing task is scheduled to execute along with the unscheduled computing task. One or more processors warn the user that the computing task is scheduled to execute along with the unscheduled computing task. One or more processors estimate one or both of: a utilization of processing and a memory consumption for the computing tasks and determine whether a threshold will be exceeded. If the threshold will be exceeded, one or more processors warn the user.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task and estimate the time for execution. One or more processors determine that a computing task is scheduled to execute along with the unscheduled computing task. One or more processors warn the user that the computing task is scheduled to execute along with the unscheduled computing task. One or more processors estimate one or both of: a utilization of processing and a memory consumption for the computing tasks and determine whether a threshold will be exceeded. If the threshold will be exceeded, one or more processors warn the user.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task and estimate the time for execution. One or more processors determine that a computing task is scheduled to execute along with the unscheduled computing task. One or more processors warn the user that the computing task is scheduled to execute along with the unscheduled computing task. One or more processors estimate one or both of: a utilization of processing and a memory consumption for the computing tasks and determine whether a threshold will be exceeded. If the threshold will be exceeded, one or more processors warn the user.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task and estimate the time for execution. One or more processors determine that a computing task is scheduled to execute along with the unscheduled computing task. One or more processors warn the user that the computing task is scheduled to execute along with the unscheduled computing task. One or more processors estimate one or both of: a utilization of processing and a memory consumption for the computing tasks and determine whether a threshold will be exceeded. If the threshold will be exceeded, one or more processors warn the user.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task. One or more processors estimate a length of time of execution for the unscheduled computing task. One or more processors determine that a scheduled computing task is scheduled to execute while the unscheduled computing task is executing.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task and estimate the time for execution. One or more processors determine that a computing task is scheduled to execute along with the unscheduled computing task. One or more processors warn the user that the computing task is scheduled to execute along with the unscheduled computing task. One or more processors estimate one or both of: a utilization of processing and a memory consumption for the computing tasks and determine whether a threshold will be exceeded. If the threshold will be exceeded, one or more processors warn the user.

Abstract: One or more processors determine that a user is attempting to execute an unscheduled computing task and estimate the time for execution. One or more processors determine that a computing task is scheduled to execute along with the unscheduled computing task. One or more processors warn the user that the computing task is scheduled to execute along with the unscheduled computing task. One or more processors estimate one or both of: a utilization of processing and a memory consumption for the computing tasks and determine whether a threshold will be exceeded. If the threshold will be exceeded, one or more processors warn the user.

Abstract: The present invention provides a platform for mobile application developers to optimize their applications based on usage data and user feedback. It also allows advertisement providers to deliver targeted advertisements through applications, on the basis of application usage data. The platform further allows application developers to obtain advertisements that provide the best revenue and are optimized for the application type and bandwidth.