Abstract: A computer retrieves data from a database. The computer retrieves a Machine Learning (ML) model trained to generate database queries. The computer applies the ML model to generate a primary database query based, at least in part, on a user inquiry available to the computer. The computer retrieves the primary database query, an initial set of data from a database available to the computer. The computer, in response to retrieving the initial set of data, receives feedback assessing the initial set of data. The computer, in response to receiving the feedback, applies a Natural Language Processing (NLP) model to identify query adjustment content within the feedback. The computer revises the primary database query based, at least in part, on the model adjustment content, to generate a secondary database query. The computer retrieves using the secondary database query, a secondary set of data from the database.

Abstract: An image filling method and apparatus, a decoding method and apparatus, an electronic device, and a medium are provided. The image filling method includes: determining an available pixel and an unavailable pixel at the periphery of a void according to the depth of pixels in the peripheral region of the void in an image to be filled, where the depth value of the available pixel is greater than the depth value of the unavailable pixel; and filling the void at least according to the available pixel.

Abstract: An RF cable includes: an inner conductor; an insulating layer extrusion molded over the inner conductor; a shielding layer covering the insulating layer; and an outer coating layer covering the shielding layer, wherein plural air holes arranged at intervals on the insulating layer and the insulating layer is coated on the outer side of the inner conductor through one-time extrusion molding.

Abstract: A method of bitstream verifying includes at the encoder side, the coded picture data of a spliced bitstream, containing a library bitstream and a main bitstream, is processed by different operations in the hypothetical bitstream buffer to simulate the data fulfillment level of the bitstream buffer. This is used to check whether the hypothetical bitstream buffer is overflowed or underflowed and verify the qualification of the bitstream. A method of managing bitstream at the decoder side is exploited to decode the library picture, which is inserted in the spliced bitstream, at a proper time. This ensures that a bitstream buffer with a limited capacity neither overflows nor underflows and the decoder can decode and present the picture of the main bitstream at a proper temporal order, which avoids lag of the main bitstream picture and waste of the decoded picture buffer.

Abstract: A method and device for data synchronization, a storage medium and an electronic device are provided. The method for data synchronization includes operations as follows. Synchronization configuration information for data to be synchronized is determined, and the synchronization configuration information at least includes a data identification of the data to be synchronized and a source data table identification of a source data table where the data to be synchronized is located. A source database is queried based on the source data table identification to obtain a target source data table where the data to be synchronized is located. A field identification of the data to be synchronized is determined from the target source data table based on the data identification. A target data table is constructed based on the field identification, and the data to be synchronized is synchronized into the target data table.

Abstract: An example operation may include one or more of generating a three-dimensional (3D) model of an object via execution of a machine learning model on one or more images of the object, capturing a plurality of snapshots of the 3D model of the object at different angles to generate a plurality of snapshot images of the object, fusing a feature into each of the plurality of snapshots to generate a plurality of fused snapshots of the 3D model of the object, and storing the plurality of fused snapshots of the 3D model of the object in memory.

Abstract: A feature data encoding method is provided. First feature data corresponding to each of channels to be encoded is determined; data type conversion processing is performed on the first feature data corresponding to each channel to obtain second feature data that meets a data input condition of an apparatus for encoding feature data; spatial re-expression is performed on the second feature data corresponding to each channel to obtain third feature data, wherein a height of the third feature data is a first height, a width of the third feature data is a first width, and the third feature data comprises the second feature data located at a target position of each of the channels; and the third feature data is encoded and signalled in a bitstream.

Abstract: An encoding method, a decoding method, an encoder, a decoder, and a storage medium are provided. The encoding method comprises: determining input feature map data (S201); performing relevant processing on the input feature map data to obtain a plurality of feature sub-maps (S202); reordering the plurality of feature sub-maps to obtain a quasi time domain sequence and corresponding reordering information (S203); and encoding the quasi time domain sequence and the reordering information to generate a bitstream (204).

Abstract: Disclosed are multiple methods and multiple apparatus e media data, and multiple methods and multiple apparatus for media data transmitting, media data processing, reference picture request processing and reference picture specifying. By means of the method to produce media data, the method for media data transmitting, and the method for media data processing, the synchronization and correct processing and transmission of bitstreams are ensured on the basis of dependency relation between video layer bitstream and library layer bitstream, and correct bitstream is highly efficiently provided to a decoder.

Abstract: A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

Abstract: A cable includes: core wires comprising a pair of inner conductors and an inner insulating layer separately covered around each of the pair of inner conductors; a wrapping layer covering the core wires; a shielding layer covering the wrapping layer; and an outer coating layer covering the shielding layer; wherein the wrapping layer comprises a first wrapping layer covering the core wires and a second wrapping layer covering the first wrapping layer.

Abstract: A texture recognition device and a display device are provided. The texture recognition device includes a backlight element, configured to provide first backlight; a light constraint element, configured to perform a light divergence angle constraint process on the first backlight to obtain second backlight with a divergence angle within a preset angle range, the second backlight being transmitted to a detection object; and a photosensitive element, configured to detect the second backlight reflected by a texture of the detection object to recognize a texture image of the texture of the detection object.

Abstract: Embodiments are directed to managing visualizations of data. Visualizations to monitor may be determined based on metrics associated with the monitored visualizations. Mark values may be sampled from each monitored visualization such that the sampled mark values may be stored with a timestamp. If an amount of the sampled mark values for a monitored visualization exceeds a threshold value mark models may be trained to classify a portion of the sampled mark values associated with the monitored visualization such that the mark models may predict ranges of values for the classified mark values associated with the monitored visualization. If the portion of the classified mark values associated with the monitored visualization has a value outside of the predicted range values, indicating that the monitored visualization may be associated with an anomalous mark value.

Abstract: The system can be for the management of access authorization using an immutable ledger comprising and can include a server having a computer readable medium in communications with an immutable ledger. A set of computer readable instructions can be included in the server and can be configured for: receiving a set of data, encrypting the set of data with a data-encryption-key and storing the encrypted data on the immutable ledger, creating a key tree having a node associated with a user, creating a key-encryption-key associated with the node and the user, and, distributing the key-encryption-key to the user wherein the key-encryption-key is configured to decrypt the data-encryption-key thereby providing access to the data for the user.

Abstract: A video encoding method, a video decoding method, an apparatus, a device, and a storage medium include parsing a first flag from the video bitstream when a video bitstream is allowed to be decoded by referencing a library picture corresponding to a library picture bitstream, using a value of a target parameter of the video bitstream as a value of a target parameter of the library picture bitstream referenced by the video bitstream when a value of the first flag is a first value, and reconstructing, based on the value of the target parameter of the library picture bitstream referenced by the video bitstream and the library picture bitstream referenced by the video bitstream to obtain the library picture corresponding to the library picture bitstream referenced by the video bitstream.

Abstract: Data augmentation is described to train an artificial intelligence model that includes analyzing a first data set to measure an amount of data in the data set and the variation in the amount of data in the first data set to determine deficiencies for training an artificial intelligence model. Augmenting data is added for the first data set having an amount of data measured that fails to meet a threshold value. Deficiencies in the variation in the amount of data in the first data set are augmented using augmentation methods outside the variation scope of the first data set to provide a second data set of augmented data. An artificial intelligence model is trained with a combined data set of the first data set, and the second data set of augmented data when the first and second data set have an amount of data meeting the threshold value.

Abstract: An integrated process and system for employing low conversion rWGS to prepare a gas fermentation feed stream from a CO2 source and a hydrogen source in order to produce at least one gas fermentation product. Low conversion rWGS reactors may (1) employ a wider selection of inorganic catalysts then rWGS reactors requiring high temperature operation, (2) allow for use of an electric heater instead of a fired heater to preheat feed stream to the low conversion rWGS reactor, and (3) extend rWGS catalyst life by reducing the amount of water produced in the rWGS reaction.

Abstract: Embodiments of the application provide a train control method, system, computer device and storage medium. A scheme applying the train control method of the application determines a current travelling state of a vehicle under control firstly, and configures different state weights according to different travelling states to determine a corresponding target travelling parameter in a particular travelling state. The scheme can ensure to determine and obtain in real time an optimal target travelling parameter for the vehicle under control according to its current travelling state, regardless of the travelling environment of the vehicle under control, and control the vehicle under control in real time and effectively by the target travelling parameter during a travelling process. Thereby, the real-time performance and control accuracy of vehicle control can be improved, and the control effect of the train control method provided by the embodiments of the application can be further improved.