Abstract: The present disclosure relates to a field of computer technologies, and discloses a method, an apparatus, a computer device, and a storage medium for determining page jump information. The method includes: monitoring a page state of a page routing stack, in response to the page state changing, determining a current page and a previous page; detecting whether a page type of the current page is the same as a page type of the previous page; in response to the page type of the current page being different from the page type of the previous page, determining a first page type corresponding to the current page and a second page type corresponding to the previous page; determining page tracking information for the current page based on the first page type and the second page type; and determining page jump information corresponding to the current page based on the page tracking information.

Abstract: The present disclosure relates to the field of computer technologies, and discloses a full event tracking method and apparatus for pages, a computer device, and a storage medium. The method includes: obtaining Native pages of an application program of a mobile terminal and a system operating environment; detecting a number of React Native pages included in the Native pages; and generating, based on the number of React Native pages and the system operating environment, a page view event tracking of entering the React Native page and a page leave event tracking of leaving the React Native page.

Abstract: Provided are systems and methods for the automatic generation of support videos from a source video. For example, the support video can more deeply explain or elaborate upon content included in source video. In particular, a computing system can obtain a source video and extract one or more sets of textual content associated with the source video. For example, the sets of textual content can include a transcript of speech that occurs within the source video. The computing system can process the one or more sets of textual content with a generative sequence processing model to generate, as an output of the generative sequence processing model, additional textual content for a support video.

Abstract: The present disclosure provides an induction heating device having an isolation housing, an induction coil, and a heater. The isolation housing defines a fluid path and has a fluid inlet and a fluid outlet connected with the fluid path. The induction coil is wound around the outer surface of the isolation housing. The heater is arranged in the fluid path of the isolation housing and is configured to generate heat in response to an induction current applied to the induction coil. The heater is configured to heat a fluid flowing through the fluid path. The isolation housing is curved in shape and comprises at least two straight sections and at least one curved section. The heater is configured to heat the fluid in the at least two straight sections. The present disclosure further discloses a thermal management system for a vehicle having the induction heating device as described above.

Abstract: The present application discloses an image optimization method and system based on artificial intelligence, comprising: performing image object recognition for a template image, and extracting and recording template information of the template image; identifying the number and categories of primary objects in a to-be-optimized image by using an image recognition algorithm of a neural network; performing matching in a template database for the to-be-optimized image according to a set matching condition and the recorded template information to obtain optimal template information; scaling the primary object in the to-be-optimized image according to layout information in the optimal template information; cropping and adjusting a background part of the to-be-optimized image according to resolution requirements of an output target image and a basic composition principle; combining an image of the processed primary object with a background image according to the layout information in the optimal template information

Abstract: The present invention relates to a passive pulse water flow adjustment device for water flow cooling. The device includes a water storage container and a pulse water flow adjustment structure, wherein the water storage container is arranged in front of a to-be-cooled high-temperature wall surface through the pulse water flow adjustment structure, and the pulse water flow adjustment structure provides a non-continuous pouring pulse water flow for the high-temperature wall surface. This device is used to cool the high-temperature wall surface, and when being cooled, the high-temperature wall surface is poured by the pulse water flow.

Abstract: A high-precision high-fidelity real-time simulation and behavior prediction method and device for a nuclear power station is provided.

Abstract: A travelling wave reactor for a space exploration. A reactor core of the travelling wave reactor is dispersed into several modules in a travelling wave direction; a new reactor is sequentially provided with a starting source module and a plurality of new fuel modules at zero burnup; all the modules are coaxially assembled in the travelling wave direction by means of an assembling parts, and each module further includes a heat pipe; the heat pipe in each module positioned at a front part sequentially passes through all the modules positioned at a rear portion thereof and extends out of the module at a rear end; and after a period of time of burn-up, the reactor core of the travelling wave reactor is provided with the starting source module, a spent fuel module, a critical fuel module and the new fuel module sequentially in the travelling wave direction.

Abstract: The present invention relates to a travelling wave reactor for a space exploration. A reactor core of the travelling wave reactor is dispersed into several modules in a travelling wave direction; a new reactor is sequentially provided with a starting source module and a plurality of new fuel modules at zero burnup; all the modules are coaxially assembled in the travelling wave direction by means of an assembling parts, and each module further includes a heat pipe; during assembly, the heat pipe in each module positioned at a front part sequentially passes through all the modules positioned at a rear portion thereof and extends out of the module at a rear end; and after a period of time of burn-up, the reactor core of the travelling wave reactor is provided with the starting source module, a spent fuel module, a critical fuel module and the new fuel module sequentially in the travelling wave direction.

Abstract: The present invention relates to a passive pulse water flow adjustment device for water flow cooling. The device includes a water storage container and a pulse water flow adjustment structure, wherein the water storage container is arranged in front of a to-be-cooled high-temperature wall surface through the pulse water flow adjustment structure, and the pulse water flow adjustment structure provides a non-continuous pouring pulse water flow for the high-temperature wall surface. This device is used to cool the high-temperature wall surface, and when being cooled, the high-temperature wall surface is poured by the pulse water flow.

Abstract: The present application discloses an image optimization method and system based on artificial intelligence, comprising: performing image object recognition for a template image, and extracting and recording template information of the template image; identifying the number and categories of primary objects in a to-be-optimized image by using an image recognition algorithm of a neural network; performing matching in a template database for the to-be-optimized image according to a set matching condition and the recorded template information to obtain optimal template information; scaling the primary object in the to-be-optimized image according to layout information in the optimal template information; cropping and adjusting a background part of the to-be-optimized image according to resolution requirements of an output target image and a basic composition principle; combining an image of the processed primary object with a background image according to the layout information in the optimal template information

Abstract: Disclosed herein are systems and methods of individual level learning that include receiving purchase event data from a merchant device that indicates that a purchase event occurred by a user on a user device, and transmitting the purchase event data to an analytics server. The methods may also include processing the purchase event data. The processing may include calculating a time gap for each of two sequential purchase events in a list of purchase events, and calculating an average duration of consecutive events by averaging all of the purchase events in the list of purchase events. The method may determine a purchase hazard probability that a purchase event will occur on a given day, when the average duration of consecutive events is larger than a standard deviation of the event occurring. When the purchase hazard probability is above a threshold, the system may push a message to the user device.

Abstract: A computer-implemented method for enhancing fraud detection based on transactions at potentially compromised locations is provided. The method includes determining a list of potentially compromised transaction locations, storing the list of potentially compromised transaction locations, and receiving from a first transaction location a first authorization request message for a first transaction. The first authorization request message is associated with a first payment account.

Abstract: The present disclosure relates to systems and methods for recommending locations. The systems may receive data related to a plurality of historical service requests, generate a plurality of feature matrices based on each of a plurality of candidate points of interest (POIs) associated with the plurality of historical service requests, generate a set of sample POIs from the plurality of candidate POIs based on the plurality of feature matrices, train a preliminary POI recommendation model using the set of sample POIs with associated feature matrixes; and determine at least one target POI based on a trained POI recommendation model.

Abstract: Embodiments of this application provide an upload interface identification method performed at an identification server. The identification server obtains a to-be-identified request packet that is contained in request packets from a page client to a page server. After parsing a content feature of the to-be-identified request packet, the server determines whether the content feature corresponds to a predefined content feature of an upload request packet authorized by the page server. The server then determines that an interface address indicated by the upload request packet corresponds to an upload interface of the to-be-identified request packet if the content feature corresponds to the set content feature of the upload request packet.

Abstract: The present disclosure relates to systems and methods for recommending locations. The systems may receive data related to a plurality of historical service requests, generate a plurality of feature matrices based on each of a plurality of candidate points of interest (POIs) associated with the plurality of historical service requests, generate a set of sample POIs from the plurality of candidate POIs based on the plurality of feature matrices, train a preliminary POI recommendation model using the set of sample POIs with associated feature matrixes; and determine at least one target POI based on a trained POI recommendation model.

Abstract: An apparatus for generating merchant clusters based upon monitored consumer transaction activity can include a processor configured to communicate with a consumer transaction database. The processor can be configured to obtain transaction activity of consumers. The processor can be configured to generate a reference cluster based on the obtained transaction activity. The processor can be configured to generate at least one regional merchant cluster for each of a plurality of different geographic regions based on the obtained transaction activity. The processor can be configured to generate a cluster labeling scheme, for each of the different geographic regions, based on comparing each regional merchant cluster for that corresponding geographic region against the reference cluster.

Abstract: Disclosed herein are systems and methods of individual level learning that include receiving purchase event data from a merchant device that indicates that a purchase event occurred by a user on a user device, and transmitting the purchase event data to an analytics server. The methods may also include processing the purchase event data. The processing may include calculating a time gap for each of two sequential purchase events in a list of purchase events, and calculating an average duration of consecutive events by averaging all of the purchase events in the list of purchase events. The method may determine a purchase hazard probability that a purchase event will occur on a given day, when the average duration of consecutive events is larger than a standard deviation of the event occurring. When the purchase hazard probability is above a threshold, the system may push a message to the user device.

Abstract: Disclosed herein are systems and methods of individual level learning that include receiving purchase event data from a merchant device that indicates that a purchase event occurred by a user on a user device, and transmitting the purchase event data to an analytics server. The methods may also include processing the purchase event data. The processing may include calculating a time gap for each of two sequential purchase events in a list of purchase events, and calculating an average duration of consecutive events by averaging all of the purchase events in the list of purchase events. The method may determine a purchase hazard probability that a purchase event will occur on a given day, when the average duration of consecutive events is larger than a standard deviation of the event occurring. When the purchase hazard probability is above a threshold, the system may push a message to the user device.

Abstract: Disclosed are exemplary embodiments of systems and methods for identifying a merchant location based on transaction records for the merchant. In an exemplary embodiment, a method generally includes accessing multiple router records. Each router record is assigned to one of multiple cells of a grid structure indicative of geographic location. Each router record is associated with a target merchant. The method further includes, for each of the multiple router records, searching for a match between the router record and at least one of multiple transactions at the target merchant, based on time, and reporting one or more of the multiple cells as a location associated with the target merchant, when a number of matching router records assigned to said one or more of the multiple cells exceeds a predetermined threshold.