A parking lot data repair method and apparatus, a device, and a storage medium. The method comprises: calculating spatial similarity between two parking lots according to the spatial features of the parking lots and a spatial similarity measurement model; clustering the parking lots into different parking lot clusters according to the spatial similarity, and calculating a spatial similarity probability corresponding to each parking lot cluster; calculating data similarity between two sample parking lots in the same parking lot cluster, and according to the data similarity and the spatial similarity probability corresponding to the parking lot cluster, calculating the data similarity probability of the parking lot cluster under a similar spatial condition; and when the data similarity probability under the similar spatial condition exceeds a probability threshold value, performing data repair on the parking lot to be repaired in the parking lot cluster by means of a cyclic generation-type confrontation network.

The present technique relates to an information processing apparatus, an information processing method, and a program which enable a pick-up demand of a taxi to be learned and predicted in a more efficient manner.

An information processing apparatus includes: a control portion configured to divide a business region into a plurality areas and, using hired vehicle sequence data that is data for each area indicating that a business vehicle has picked up a customer, execute first clustering in which the plurality of areas are clustered using a first parameter and execute second clustering in which the plurality of areas are clustered using a second parameter. For example, the present technique can be applied to an information processing apparatus or the like that predicts a pick-up demand of a taxi.

An information processing apparatus includes a control circuity that judges that a mealtime of a user is included between a schedule time of departure of a mobile object that travels while carrying the user and a schedule time of arrival of the mobile object, estimates a location where the mobile object is traveling during the mealtime, and generates search conditions of restaurant search for extracting restaurants located within a first distance from the estimated location where the mobile object is traveling and located a second distance away from at least one of a point of departure and a destination of the mobile object, from restaurant information associated with location information.

A strategic decision support system is disclosed. The system can filter content received from a remote database coupled to a network to provide a graphical user interface to enable strategic decision making to expand utilization of a product. The system can include a local client computer to generate access to content stored in the remote database, at least one filtering scheme, a set of selectable filters configured to filter the content stored in the remote database according to the at least one filtering scheme, and a remote server coupled to the local client computer via the network to analyze access restrictions to the product based on a selected filter and the at least one filtering scheme to generate a graphical user interface displayed on the local client computer.

The present disclosure is directed to a marble-sealed bottle that preserves the marble features yet allows for easy opening, re-closing, and unobstructed pouring of the content stored in the bottle. In addition, the disclosure provides a mobile application that improves consumer engagement with the product and facilitates collection of certain information about the product users and individuals connected to them via social networks or similar software applications.

In general, the subject matter described in the specification can be embodied in methods, systems and program products for a verified participant database system that verifies information on potential participants for surveys and promotions that require numerous participants with certain characteristics. Among other features, the verified participant database system aggregates and preferably verifies information, for example, the demographic and purchasing information, of potential participants by receiving permission to obtain information from third-party sources.

Systems and methods for dynamically changing displayed content of a tag. The methods comprise: performing operations by sensors of the tag to detect when an individual is interacting with a first item to which the tag is coupled; determining a type of interaction between the individual and the first item; selecting at least one first accessory from a plurality of accessories for the first item based on the type of interaction; obtaining information for the selected at least one first accessory that is to be presented to the individual; and dynamically changing the displayed content of the tag to include the obtained information while the individual is still in proximity to the tag or interacting with the first item.

An example includes one or more devices may include one or more memories and one or more processors, communicatively coupled with at least one of the one or more memories, to identify a service that is provided within a region; identify a model that is associated with the service, the model having been trained based on consumer profile data, service provider data, and historical information; determine a current demand associated with the service in the region; predict, using the model and based on the current demand associated with the service, a future demand for the service during a time period; determine a current capacity to provide the service based on real-time service provider information associated with service providers that are providing the service in the region; and perform an action associated with the service based on the future demand for the service and the current capacity to provide the service.

Systems and methods are provided for understanding, forecasting, managing, and mitigating healthcare crises. A real-time health crisis forecast system and method may include predictor variable data sets such as urine drug testing (UDT) data and demographic data for selected regional populations during selected timeframes and dependent variable data such as mortality rates for selected regional populations during selected timeframes. A health forecast model describing the relationship between the predictor variable and dependent variable data may be generated using selected statistical methods. A model may be used to generate a real-time health crisis forecast for a selected population during a selected timeframe based on inputs of updated predictor variable data. A dashboard presenting graphical representations of a real-time health crisis forecast may provide relevant organizations with a resource allocation and deployment plan, enabling a proactive response.

Systems and methods for features engineering, in which internal and external signals are received and fused. The fusing is based on meta-data of each of the one or more internal signals and each of the one or more external signals. A set of features is generated based on one or more valid combinations that match a transformation input, the transformation forming part of library of transformations. Finally, a set of one or more features is selected from the plurality of features, based on a predictive strength of each feature. The set of selected features can be used to train and select a machine learning model.