Abstract: A display substrate has a fan-out area and includes a plurality of conductive layers. The plurality of conductive layers include data lines, connection lines and fan-out lines. A connection line is electrically connected to a first data line, and crosses at least one data line and is insulated from the crossed data line. A first fan-out line is electrically connected to the connection line. A second fan-out line is electrically connected to a second data line. The first fan-out line includes a transfer line, and is located in a different conductive layer from second fan-out lines and crosses at least one second fan-out line. An order of arrangement of ends of the fan-out lines away from the display area in a first direction is same as an order of arrangement of the data lines in the first direction.

Abstract: Embodiments relate to graph-based design mapping and function route generation. A computer-implemented method includes analyzing first user interfaces and second user interfaces to identify features of each user interface, where the second user interfaces include at least one change to the first user interfaces. A first graph representing the features of the first user interfaces and a second graph representing the features of the second user interfaces are generated. A function mapping is determined based on a similarity calculation between the first graph and the second graph. A node that satisfies an influence threshold is recommended to do limited manual labeling. The function mapping is updated based on the labeling. A visualization of the function mapping is created between the first user interfaces and the second user interfaces. Function route generation can be performed.

Abstract: According to one embodiment, a method, computer system, and computer program product for pollen prediction is provided. The present invention may include identifying, by a classification model, plant species within a plurality of locatable images taken at a plurality of locations; creating growth cycle prediction models for the plant species; modelling pollen count mappings for the plant species; predicting pollen yields at the locations for the plant species based on the growth cycle prediction models and the pollen count mappings; and calculating a pollen distribution at the locations based on the predicted pollen yields and aerodynamic models.

Abstract: Method and apparatus for video processing. A plurality of videos are accessed. An index is generated based on one or more key frames and one or more video features extracted from the plurality of video. A user input is processed to identify user intentions. The index is filtered to identify a plurality of candidate key frames based on the user intentions. A recommended video is generated based on the plurality of candidate key frames, further comprising selecting one or more additional frames based on processing the plurality of candidate key frames using one or more clustering operations, and aggregating the plurality of candidate key frames and the one or more additional frames.

Abstract: A display panel and a display apparatus. The display panel comprises a display substrate. The display substrate comprises: a display area (AA) and a binding area (B1) located on one side of the display area; a plurality of sub-pixels (Pxij) located in the display area; a plurality of data lines located in the display area and electrically connected to the plurality of sub-pixels; a plurality of binding pin groups (41) located in the binding area, wherein each binding pin group comprises at least one driving pin group (411) and at least one touch pin group (412), in the plurality of binding pin groups, the plurality of driving pin groups are arranged in a first direction, at least one touch pin group is arranged between the plurality of driving pin groups in an interspersed manner, at least one touch pin group is arranged between every two adjacent driving pin groups.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Abstract: An embodiment for detecting anomalous data using dependency modeling. The embodiment may, within a target data environment, identify references between data contained in one or more data files. The embodiment may determine dependency relationships between data fields in the data contained in the one or more data files. The embodiment may construct computational graphs depicting the determined dependency relationships as series of related data fields. The embodiment may identify a series of associated computational graphs within the constructed computational graphs. The embodiment may calculate abnormality degree values for each of the data fields within the constructed computation graphs. The embodiment may, in response to detecting an anomalous data field having a calculated abnormality degree value above a threshold value, calculating contribution values for a series of associated component data fields to identify a root cause for the detected anomalous data field.

Abstract: In other embodiments, a method to perform image-based searching may include receiving a group of images from a content owner; creating an index using the group of images; receiving a further image from a mobile computing device of a user; determining a correlation between the further image and the index; and/or directing the mobile computing device of the user to content of the content owner, responsive to the determining of the correlation.

Abstract: This application provides a communication method and a related apparatus. In this method, a first neural network model may be determined from one or more pre-trained neural network models, the first neural network model is adjusted based on communication resource information and/or channel state information for communication between a first device and a second device, and an adjusted first neural network model is sent, or a submodel in an adjusted first neural network model is sent, where the adjusted first neural network model is used for the communication between the first device and the second device. It can be learned that the neural network model used for the communication between the first device and the second device is obtained through adjustment based on the pre-trained neural network model that has been trained.

Abstract: A transmitting apparatus obtains a to-be-modulated bit(s) and modulation condition information MCI; and obtains a first modulated signal based on the to-be-modulated bit(s), the MCI, and a first neural network, and outputs the first modulated signal. Correspondingly, a receiving apparatus obtains the first modulated signal, and demodulates the first modulated signal. The to-be-modulated bit(s) includes N×M bits, M is a modulation order, N is a quantity of first modulation symbols included in the first modulated signal, and both N and M are positive integers.

Abstract: Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.

Abstract: Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.

Abstract: Technology is disclosed for transferring money anonymously between a sender and a recipient by use of a one-time use token. The method includes generating a one-time use token account for association with a one-time use token. The method includes generating the token and providing the token to the sender device in a machine-readable and transferable format. The method includes receiving a request to charge the one-time use token account after the token has been provided to the recipient device as a form of payment for a transaction. The method includes determining that an amount of the transaction is less than an amount of funds associated with the token and that the time of the transaction is within a time period for the use of the token. The method includes facilitating a transfer to the recipient account and deducting the amount of the transaction from a sender account.

Abstract: Systems and methods for distributing photo filters based on the location of the object in the image are described. A photo filter publication system detects that a client device in communication with the system has captured an image, identifies an object in the image, identifies a location of the object in the image, identifies an image overlay associated with the identified location and having object criteria satisfied by the identified object, and provides the identified image overlay to the client device.

Abstract: A service provider may receive item price information and/or point of sale (POS) transaction information from a plurality of merchant devices associated with a plurality of merchants. The service provider may categorize the plurality of merchants according to the types of items offered by the respective merchants, and may further categorize the merchants according to the locations at which they conduct business. The service provider may subsequently determine a price recommendation or other pricing information for a particular item offered by a particular merchant. A merchant device of the particular merchant may present the pricing information in a user interface that enables the merchant to view projected sales at various different price points. Further, the merchant may be able to specify one or more factors used for determining the recommend price, such as a desired business model, a desired clientele, a desired profit margin, or the like.

Abstract: A service provider may receive item price information and/or point of sale (POS) transaction information from a plurality of merchant devices associated with a plurality of merchants. The service provider may categorize the plurality of merchants according to the types of items offered by the respective merchants, and may further categorize the merchants according to the locations at which they conduct business. The service provider may subsequently determine a price recommendation or other pricing information for a particular item offered by a particular merchant. A merchant device of the particular merchant may present the pricing information in a user interface that enables the merchant to view projected sales at various different price points. Further, the merchant may be able to specify one or more factors used for determining the recommend price, such as a desired business model, a desired clientele, a desired profit margin, or the like.

Abstract: Various examples described herein support or provide for data ingesting, aggregating, and organizing in one centralized location; enhancing data through data enrichment and artificial intelligence and machine learning automation into tailored recommendations; and distributing and integrating data into channels that help facilitating data exchange based on individual needs and/or third-party solutions.

Abstract: Various examples described herein support or provide for data ingesting, aggregating, and organizing in one centralized location; enhancing data through data enrichment and artificial intelligence and machine learning automation into tailored recommendations; and distributing and integrating data into channels that help facilitating data exchange based on individual needs and/or third-party solutions.

Abstract: Transaction modification based on modeled profiles is described. In an example, transaction data can be received from merchant computing devices associated with merchants associated with a payment processing system. A model can be trained to generate profiles using, as training data, one or more of merchant data, buyer data, or the transaction data. Upon receiving an indication of a particular transaction between a buyer and a merchant, it can be determined that a characteristic of the transaction corresponds to a profile of the generated profiles. Based on the determination that the characteristic corresponds to the profile and the transaction data, a recommendation can be generated for a modification of the transaction to add an item or replace an item.

Abstract: Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.