Abstract: Disclosed are various embodiments for analyzing searches of verbal media content associated with media content features. A relatively popular portion of a media content item is determined based at least in part on a dialogue of the relatively popular portion of the media content item being included in a plurality of dialogue search queries received from a plurality of client devices. The media content item is rendered via a client device, and a recommendation for an item is via the client device in response to the relatively popular portion of the media content item being rendered.

Abstract: The present disclosure relates to systems and methods for scheduling meetings for a business process. The systems and methods may dynamically create and send resource requests for meetings based on meeting criteria for the meeting. The systems and methods may identify available resources for a meeting based on attributes of the available resources matching the meeting criteria. The systems and methods may book a meeting with one or more available resources for the meeting.

Abstract: Systems and methods are disclosed for categorizing and visualizing web domain details. In implementations, one or more processors are configured to automatically determine domain variants, using a provided seed domain, based on a level of similarity with the seed domain. The one or more processors may be configured to categorize the domain variants into a plurality of categories. One or more servers may be communicatively coupled with one or more computing devices and may be configured to provide one or more user interfaces for display on the one or more computing devices. The one or more user interfaces may include a visual display of the categories and, for each category, an indicator indicating a total number of the domain variants within that category. Implementations may include training a machine learning module to automatically determine the domain variants and to categorize the domain variants into the plurality of categories.

Abstract: A scalable digital fleet management system may be leveraged by organizations with high-volume high-value assets. In such scenarios, predictive analytics for tool health enables decision-making in terms of planning, maintenance, end-of-life replacement, tool selection, etc. An end-to-end solution spans all the way from gathering live tool data to visual representations of tool health. Long-term fleet management can be accomplished through a consistent evaluation of the fleet performance profile. Predictive analysis can anticipate maintenance needs and resultant downtimes and help improve scheduling of procurement and distribution of the fleet. Framework deployment focuses on topics related to developing an end-to-end solution architecture, scaling, and deploying it on demand, and maintaining it going forward.

Abstract: Counterfeit uniform resource locators (URLs) are detected and blocked in real-time by a browser extension in communication with a counterfeit URL detection system. The browser extension receives a URL requested within a browser application. Content from a webpage associated with the received URL is extracted and transmitted to the counterfeit URL detection system, which is configured to analyze the content and return an assessment indicating whether the URL is counterfeit. If the assessment indicates that the URL is counterfeit, the browser extension blocks the browser application from accessing content associated with the URL.

Abstract: Disclosed herein are systems and methods for automatic takedown of counterfeit websites using API-based and/or email-based takedown. In implementations the method includes checking the domain of a Uniform Resource Locator (URL) against a database to determine if an API-based takedown can be performed for the counterfeit website. If an API-based takedown cannot be performed the system determines the email of the hosting provider hosting the counterfeit website based on the resolve Internet Protocol (IP) address and sends a takedown notification via email with evidence such as screenshots, hosting infrastructure information, website lifecycle and scan timestamp. The system checks periodically whether the counterfeit website has been taken down by the network owner. If, after a check, the website is still live, the process of takedown is repeated until the website is taken down.

Abstract: Counterfeit uniform resource locators (URLs) are detected and blocked in real-time by a browser extension in communication with a counterfeit URL detection system. The browser extension receives a URL requested within a browser application. Content from a webpage associated with the received URL is extracted and transmitted to the counterfeit URL detection system, which is configured to analyze the content and return an assessment indicating whether the URL is counterfeit. If the assessment indicates that the URL is counterfeit, the browser extension blocks the browser application from accessing content associated with the URL and redirects the browser extension to a legitimate URL.

Abstract: Counterfeit uniform resource locators (URLs) are detected and blocked in real-time by a browser extension in communication with a counterfeit URL detection system. The browser extension receives a URL requested within a browser application. Content from a webpage associated with the received URL is extracted and transmitted to the counterfeit URL detection system, which is configured to analyze the content and return an assessment indicating whether the URL is counterfeit. If the assessment indicates that the URL is counterfeit, the browser extension blocks the browser application from accessing content associated with the URL.

Abstract: Counterfeit uniform resource locators (URLs) are detected and blocked in real-time by a browser extension in communication with a counterfeit URL detection system. The browser extension receives a URL requested within a browser application. Content from a webpage associated with the received URL is extracted and transmitted to the counterfeit URL detection system, which is configured to analyze the content and return an assessment indicating whether the URL is counterfeit. If the assessment indicates that the URL is counterfeit, the browser extension blocks the browser application from accessing content associated with the URL and redirects the browser extension to a legitimate URL.

Abstract: Nondestructive evaluation (NDE) of objects can elucidate impacts of various process parameters and qualification of the object. Computed tomography (CT) enables rapid NDE and characterization of objects. However, CT presents challenges because of artifacts produced by standard reconstruction algorithms. Beam-hardening artifacts especially complicate and adversely impact the process of detecting defects. By leveraging computer-aided design (CAD) models, CT simulations, and a deep-neutral network high-quality CT reconstructions that are affected by noise and beam-hardening can be simulated and used to improve reconstructions. The systems and methods of the present disclosure can significantly improve the reconstruction quality, thereby enabling better detection of defects compared with the state of the art.

Abstract: Methods for determining user intent at a website and responding to it include using one or more processors to fetch a referral URL, associated with a prior website, from one or more web server logs associated with a web server. The referral URL is provided to the web server in conjunction with a user navigating from the prior website to a current website using a browser. The processor(s) determine whether the prior website is fraudulent based at least in part on determining whether the referral URL matches a URL in one or more data stores and/or receiving an indication from a machine learning (ML) engine indicating whether the prior website is fraudulent. If prior website is not fraudulent, the processor(s) process one or more user requests at the current website. If the prior website is fraudulent the processor(s) block the user request(s). Related systems are configured to implement the methods.

Abstract: Disclosed herein are systems and methods for automatic takedown of counterfeit websites using API-based and/or email-based takedown. In implementations the method includes checking the domain of a Uniform Resource Locator (URL) against a database to determine if an API-based takedown can be performed for the counterfeit website. If an API-based takedown cannot be performed the system determines the email of the hosting provider hosting the counterfeit website based on the resolve Internet Protocol (IP) address and sends a takedown notification via email with evidence such as screenshots, hosting infrastructure information, website lifecycle and scan timestamp. The system checks periodically whether the counterfeit website has been taken down by the network owner. If, after a check, the website is still live, the process of takedown is repeated until the website is taken down.

Abstract: Counterfeit uniform resource locators (URLs) are detected and blocked in real-time by a browser extension in communication with a counterfeit URL detection system. The browser extension receives a URL requested within a browser application. Content from a webpage associated with the received URL is extracted and transmitted to the counterfeit URL detection system, which is configured to analyze the content and return an assessment indicating whether the URL is counterfeit. If the assessment indicates that the URL is counterfeit, the browser extension blocks the browser application from accessing content associated with the URL and redirects the browser extension to a legitimate URL.

Abstract: Disclosed are various embodiments for predictive caching of content to facilitate instantaneous use of the content. If a user is likely to commence use of a content item through a client, and if the client has available resources to facilitate instantaneous use, the client is configured to predictively cache the content item before the user commences use. In doing so, the client may obtain metadata for the content item from a server. The client may then initialize various resources to facilitate instantaneous use of the content item by the client based at least in part on the metadata.

Abstract: Disclosed are various embodiments for predictive caching of content to facilitate use of the content. If account is likely to commence use of a content item, the content item is cached before the use is commenced. The cache may be divided into multiple segments with different content selection criteria.

Abstract: Disclosed are various embodiments for client-side predictive caching of content to facilitate use of the content. If account is likely to commence use of a content item through a client, the client is configured to predictively cache the content item before the use is commenced. In doing so, the client may obtain an initial portion of the content item from another computing device. The client may then initialize various resources to facilitate use of the content item by the client. The client-side cache may be divided into multiple segments with different content selection criteria.

Abstract: Counterfeit uniform resource locators (URLs) are detected and blocked in real-time by a browser extension in communication with a counterfeit URL detection system. The browser extension receives a URL requested within a browser application. Content from a webpage associated with the received URL is extracted and transmitted to the counterfeit URL detection system, which is configured to analyze the content and return an assessment indicating whether the URL is counterfeit. If the assessment indicates that the URL is counterfeit, the browser extension blocks the browser application from accessing content associated with the URL.

Abstract: Disclosed are various embodiments for predictive caching of content to facilitate use of the content. If account is likely to commence use of a content item, the content item is cached before the use is commenced. The cache may be divided into multiple segments with different content selection criteria.

Abstract: Disclosed are various embodiments for analyzing searches of verbal media content associated with media content features. A relatively popular portion of a media content item is determined based at least in part on a dialogue of the relatively popular portion of the media content item being included in a plurality of dialogue search queries received from a plurality of client devices. The media content item is rendered via a client device, and a recommendation for an item is via the client device in response to the relatively popular portion of the media content item being rendered.

Abstract: Disclosed are various embodiments for analyzing searches of verbal media content associated with media content features. Custom abridgements of media content features may be generated based on user interest in a plurality of portions of the media content feature following the plurality of verbal media content searches. A recommendation for a portion of a media content feature may be sent to a first client based on an expression of interest by a second client in dialog featured in the portion of the media content feature but in a secondary language. The first client may be determined based on an association between the first client and the secondary language. A product can be recommended to a client based on a dialog search query, where the dialog of a media content search result contains a reference to the product or a similar product.