Abstract: The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

Abstract: The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

Abstract: Systems and methods to store, in a database, product information identifying each respective product in the database, a store in the shopping mall that carries the respective product, and a location within the store where the respective product is physically accessible by a customer visiting the mall. The database is updated via communicating with database systems of stores in the mall and/or dispatching robots to the stores to collect data for the updates. Frequencies of the updates are determined based on sales volumes of the stores. A server is used to provide a user interface to access the database of the mall and provide navigational guidance for travel from current locations of user devices and the locations of the items.

Abstract: Systems and methods to predict and present availability and value of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces.

Abstract: Systems and methods to predict availability of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces. A machine learning technique is applied to a dataset of the tenant to derive a predictive model for predicting tenant default in a period of time.

Abstract: Systems and methods to predict and present availability and value of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces.

Abstract: Systems and methods to predict and present availability and value of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces.

Abstract: Systems and methods to predict availability of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces. A machine learning technique is applied to a dataset of the tenant to derive a predictive model for predicting tenant default in a period of time.

Abstract: Systems and methods to store, in a database, product information identifying each respective product in the database, a store in the shopping mall that carries the respective product, and a location within the store where the respective product is physically accessible by a customer visiting the mall. The database is updated via communicating with database systems of stores in the mall and/or dispatching robots to the stores to collect data for the updates. Frequencies of the updates are determined based on sales volumes of the stores. A server is used to provide a user interface to access the database of the mall and provide navigational guidance for travel from current locations of user devices and the locations of the items.

Abstract: Systems and methods to predict and present availability and value of retail spaces in shopping malls. Robots are dispatched to temporary retail spaces to collect at least a portion of operation data stored in a database with leasing data of temporary retail spaces in a mall, tenant coordination data, and subscriber data. A web-based application predicts availability of the temporary retail spaces in the mall based on the leasing data, the tenant coordination data, and the operation data. The web-based application includes an interactive plan of the mall as a user interface for subscribers to access data related to the temporary retail spaces, and process applications for leasing the temporary retail spaces.