Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a plurality of errors by comparing (a) a plurality of watermarks adjusted by offsets and (b) reference data, the adjusted watermarks corresponding to watermark data with inaccurate timing information for media; identify an offset of the offsets based on the plurality of errors; and adjust timing information of a watermark of the watermarks using the offset to increase an accuracy of the timing information.

Abstract: A distributed display method provides different parts of an application interface that are collaboratively displayed on a plurality of terminals, so that manners for collaborative display between the plurality of terminals are more flexible and richer. A first terminal displays a first interface including a first part and a second part. When the first terminal detects that a preset condition is met, the first terminal displays a second interface, where the second interface includes the first part and does not include the second part; and the first terminal notifies a second terminal to display a third interface, where the third interface includes the second part and does not include the first part.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a plurality of errors by comparing (a) a plurality of watermarks adjusted by offsets and (b) reference data, the adjusted watermarks corresponding to watermark data with inaccurate timing information for media; identify an offset of the offsets based on the plurality of errors; and adjust timing information of a watermark of the watermarks using the offset to increase an accuracy of the timing information.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes memory; computer readable instructions; and processor circuitry to execute the computer readable instructions to: generate a plurality of errors by comparing (a) a plurality of watermarks adjusted by offsets and (b) reference data, the adjusted watermarks corresponding to watermark data with inaccurate timing information for media; identify an offset of the offsets based on the plurality of errors; and adjust timing information of a watermark of the watermarks using the offset to increase an accuracy of the timing information.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Systems, methods, devices, and techniques for analyzing and applying features of a T-wave derived from an electrocardiogram. A computing system can receive a set of data that characterizes an electrocardiogram of a patient. The system can analyze the set of data to identify a T-wave that occurs in the electrocardiogram. The system can determine values of one or more features of the T-wave and provide the information that identifies the values of the one or more features of the T-wave to a user.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for the detection of boring media. An example apparatus includes at least one memory, instructions, and processor circuitry to correlate first boring media event determinations with a first portion of first media events, train a machine learning model based on the first boring media event determinations, the machine learning model to predict second boring media event determinations associated with a second portion of the first media events, and, in response to a number of the second boring media event determinations correctly predicted by the machine learning model satisfying a threshold, deploy the machine learning model to predict third boring media event determinations associated with second media events.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for the detection of boring media. An example apparatus includes a feature calculator to determine at least a first feature and a second feature associated with at least one of a video feed or an audio feed of monitored media when a media monitoring code is not detected in the monitored media, the first and second features representing different characteristics of at least one of the video feed or the audio feed, and a boring media event determiner implemented by hardware or at least one processor to process the first and second features with a neural network, propagate a code absence alert to a first server when an output of the neural network does not satisfy a threshold, and propagate a boring media event notification to a second server when the output of the neural network does satisfy the threshold.

Abstract: Managing application programs is disclosed including perceiving a current context and determining that a first event has occurred, acquiring historical data relating to the first event, determining user behavior based on the historical data, and pushing application recommendation information or controlling application status based on the determination results.

Abstract: Managing applications in light of user use habits is disclosed. An indication that an application has been switched from a foreground environment to a background environment is detected. User historical use information associated with the application is accessed. Based at least in part on the user historical use information, it is determined that the application is not likely to be switched to the foreground environment. In response to the determination that the application is not likely to be switched to the foreground environment, one or more resources associated with the application are recycled.

Abstract: Embodiments of the present application relate to a method, apparatus, and system for service processing. The method includes, in response to receiving a startup command for a target application, obtaining texture data corresponding to a target service of the target application, the texture data being obtained from service content that is stored locally on a terminal before the startup command is received, the texture data conforming to a preset texture format, obtaining display content corresponding to the target service based at least in part on the texture data, and providing the display content corresponding to the target service on the terminal.

Abstract: Systems, methods, devices, and techniques for analyzing and applying features of a T-wave derived from an electrocardiogram. A computing system can receive a set of data that characterizes an electrocardiogram of a patient. The system can analyze the set of data to identify a T-wave that occurs in the electrocardiogram. The system can determine values of one or more features of the T-wave and provide the information that identifies the values of the one or more features of the T-wave to a user.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Recommending applications based on call requests between applications is disclosed, including: receiving a plurality of sets of application call request recordings from respective ones of a plurality of client devices; using the plurality of sets of application call request recordings to generate association relationships between a first application and one or more other applications; determining a set of application recommendation information determined based at least in part on the association relationships between the first application and the one or more other applications; and sending the set of application recommendation information to a recipient client device.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for the detection of boring media. An example apparatus includes a feature calculator to determine at least a first feature and a second feature associated with at least one of a video feed or an audio feed of monitored media when a media monitoring code is not detected in the monitored media, the first and second features representing different characteristics of at least one of the video feed or the audio feed, and a boring media event determiner implemented by hardware or at least one processor to process the first and second features with a neural network, propagate a code absence alert to a first server when an output of the neural network does not satisfy a threshold, and propagate a boring media event notification to a second server when the output of the neural network does satisfy the threshold.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for the detection of boring media. An example apparatus includes a feature calculator to determine at least a first feature and a second feature associated with at least one of a video feed or an audio feed of monitored media when a media monitoring code is not detected in the monitored media, the first and second features representing different characteristics of at least one of the video feed or the audio feed, and a boring media event determiner implemented by hardware or at least one processor to process the first and second features with a neural network, propagate a code absence alert to a first server when an output of the neural network does not satisfy a threshold, and propagate a boring media event notification to a second server when the output of the neural network does satisfy the threshold.

Abstract: Methods, apparatus, systems and articles of manufacture to monitor media are disclosed. An example apparatus includes an orderer to order metadata according to timing information, the metadata corresponding to digital media from a media provider; a data shifter to adjust the ordered metadata using a plurality of offsets to generate a plurality of adjusted ordered metadata; a comparator to perform a plurality of comparisons by comparing the plurality of adjusted ordered metadata to reference data; and compute a plurality of errors corresponding to the plurality of comparisons; and the data shifter to identify an offset of the plurality of offsets corresponding to a lowest computed error of the plurality of errors; and adjust the ordered metadata using the offset.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for the detection of boring media. An example apparatus includes a feature calculator to determine at least a first feature and a second feature associated with at least one of a video feed or an audio feed of monitored media when a media monitoring code is not detected in the monitored media, the first and second features representing different characteristics of at least one of the video feed or the audio feed, and a boring media event determiner implemented by hardware or at least one processor to process the first and second features with a neural network, propagate a code absence alert to a first server when an output of the neural network does not satisfy a threshold, and propagate a boring media event notification to a second server when the output of the neural network does satisfy the threshold.

Abstract: Managing application programs is disclosed including perceiving a current context and determining that a first event has occurred, acquiring historical data relating to the first event, determining user behavior based on the historical data, and pushing application recommendation information or controlling application status based on the determination results.