Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to disable select processes for malware prevention, an apparatus comprising: at least one memory; instructions; and at least one processor to execute the instructions to cause the at least one processor to at least: identify execution of a computer process on a computing device; determine whether the identified computer process is in a list of computer processes to be monitored; in response to the identified computer process being listed in the list of computer processes to be monitored, determine an amount of time since last execution of the identified computer process; and suspend, in response to the amount of time since last execution meeting or exceeding a threshold time, execution of the identified computer process.

Abstract: An example operation may include one or more of monitoring, by a blockchain node, a delivery of a service to a first node from a second node based on a service contract and an order retrieved from a blockchain, determining, by the blockchain node, an incremental charge for a partial delivery of the service based on the monitoring, and executing, by the blockchain node, a smart contract to issue the incremental charge for the partial delivery of the service, and responsive to a resolution of a dispute raised for the incremental charge, add the incremental charge to an incremental invoice.

Abstract: A method includes determining first data stored in a clipboard of an operating system, determining second data is stored in the clipboard, performing a comparison of the second data against malicious data, at least in part based on a determination that the first data has changed to the second data, and performing a first security operation, at least in part based on the comparison.

Abstract: Disclosed are systems and methods of querying a hybrid event index of a user. The systems and methods can include receiving a search request pertaining to at least a first namespace of a plurality of namespaces and determining a first index server storing a first portion of the hybrid event index associated with the first namespace. The systems and methods can further include searching, the first portion of the hybrid event index stored at the first index server, determining one or more attributes from the search request, and determining a payload based on the search results of the first portion of the hybrid event index. Finally, the systems and methods can include applying one or more attributes to the payload and sending the filtered payload.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: The present invention provides a system and method for enabling interactions between availers (110) and providers (310), comprising a user interface wherein a first user interface (120) is accessed by the plurality of availers (110) and a second user interface (320) is accessed by the plurality of providers (310), a platform (200), an assessment engine (210), a database module (220), and a segregation module (230). Further, the plurality of availers (110) may upload unedited manuscripts (130) showcasing the technical subject matter of a research onto the platform (200), which if approved by the assessment engine (210) may be stored in the database (220) and displayed to the plurality of providers (310). Subsequently, the plurality of providers (310) may be capable to showcase interest (250) in the manuscript (130) of interest.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.