Abstract: Techniques are described for performing automated operations related to determining and using information about one or more user-specific predicted attributes of dwellings that users will occupy in the future. The described techniques may include generating one or more predictive models trained to provide information about one or more target dwelling attributes of interest, such as to analyze training data about interactions of one or more types by a plurality of users with a plurality of dwellings before those users select a final dwelling to acquire and/or occupy, and to generate and train the predictive model(s) based on the training data to predict a value of each of the one or more target dwelling attributes for a target dwelling that a user will later acquire and/or occupy, and may further include using predicted target dwelling attribute values to provide dwelling-related information to one or more other users.

Abstract: Techniques are described for performing automated operations related to determining and providing information about dwellings within geographical regions specific to indicated locations, such as within an indeterminate distance from an indicated point-of-interest (POI) location by determining and using individualized geographical search regions specific to each POI location. In some situations, for each of a plurality of POI locations, a geographical region specific to that POI location is predetermined in an individualized manner for that POI location using attribute(s) of that POI location, to represent a geographical region for that POI location considered to be nearby that POI location, and then using such predefined POI-specific nearby geographical regions when responding to a later received search query that specifies multiple search criteria using a sequence of multiple free-form natural language terms that indicate such a POI location, such as in combination with other search criteria.

Abstract: Techniques are described for performing automated operations related to determining and providing information about dwellings within geographical regions specific to indicated locations, such as within an indeterminate distance from an indicated point-of-interest (POI) location by determining and using individualized geographical search regions specific to each POI location. In some situations, for each of a plurality of POI locations, a geographical region specific to that POI location is predetermined in an individualized manner for that POI location using attribute(s) of that POI location, to represent a geographical region for that POI location considered to be nearby that POI location, and then using such predefined POI-specific nearby geographical regions when responding to a later received search query that specifies multiple search criteria using a sequence of multiple free-form natural language terms that indicate such a POI location, such as in combination with other search criteria.

Abstract: Techniques are described for performing automated operations related to determining and providing information about dwellings within geographical regions specific to indicated locations, such as within an indeterminate distance from an indicated point-of-interest (POI) location by determining and using individualized geographical search regions specific to each POI location. In some situations, for each of a plurality of POI locations, a geographical region specific to that POI location is predetermined in an individualized manner for that POI location using attribute(s) of that POI location, to represent a geographical region for that POI location considered to be nearby that POI location, and then using such predefined POI-specific nearby geographical regions when responding to a later received search query that specifies multiple search criteria using a sequence of multiple free-form natural language terms that indicate such a POI location, such as in combination with other search criteria.

Abstract: Disclosed herein is a system and method for assigning a unique identifier for an asset. The method disclosed herein relates to assigning a stable unique identifier for a final data record corresponding to an asset wherein the unique identifier encompasses changes in underlying data that make up the final data record. The method ensures that the unique identifier is not frequently updated based on changes in underlying data. The method further comprises mapping, based on a voting algorithm, a current final identifier to a new sourcework record received on account of changes to source data. The new identifier is updated in a mapping repository along with the previous final identifier and history of changes.

Abstract: Disclosed herein is a system and a computer implemented method for deduplication of information pertaining to an asset listed in one or more auction houses or auction aggregator platform. The method disclosed herein relates to identifying data records that relate to a single asset and therefore should be stored as a single entry rather than multiple entries pertaining to same asset. The method compares data records for bibliographic similarity, price similarity and image similarity to identify mergeable data records. Based on the comparison, mergeable data records are merged into a single config file pertaining to an asset. Furthermore, the config file is updated based on receipt of new information or information available from a higher trusted source.

Abstract: The present disclosure provides a system and methods for time of flight imaging, comprising: (a) an imaging sensor configured to receive a plurality of light signals reflected from a surgical scene, wherein the imaging module comprises a first imaging unit configured for time of flight (TOF) imaging; a second imaging unit configured for at least one of laser speckle imaging and fluorescence imaging; and an optical element configured to (i) direct a first set of light signals to the first imaging unit and (ii) direct a second set of light signals to the second imaging unit; and (b) an image processing module operatively coupled to the first imaging unit and the second imaging unit, wherein the image processing module is configured to generate one or more images of the surgical scene based on the first set of light signals and the second set of light signals.

Abstract: A system and method for optimizing trial design for clinical trials. The system includes a computer system and a processor communicably coupled to a memory. The processor processes and structures raw trial data to a format suitable for input to train a machine learning model. The processor further identifies plurality of independent features of the raw trial data and screens actionable features. Further, the processor computes cut off range values for each of the actionable features and form a plurality of sub-groups of patients. The processor simulates patient response of each of the plurality of sub-groups of patients and identifies a sub-group of patients based upon population percentage and delta response that shows optimal clinical trial results in the simulated patient response.

Abstract: Disclosed is system and method for determining treatment effect in a clinical trial, the system comprising a server arrangement communicably coupled to a database arrangement. The server arrangement is configured to receive a plurality of datasets corresponding to a plurality of subjects from the database arrangement, wherein the plurality of subjects comprises a first set of subjects undergoing treatment and a second set of subjects receiving placebo, and wherein the plurality of datasets comprises of plurality independent variables and at least one dependent variables for the plurality of subjects. The system is configured to impute one or more values in the plurality of datasets to generate an imputed dataset of the plurality of subjects, wherein the imputed dataset comprises of imputed and non-imputed values corresponding to the plurality of independent variables and the at least one dependent variable.