Abstract: Systems and methods of enhancing the resolution of digital terrain models (DTM) for location-based applications and analyses. The DTM enhancement process takes the signature of the input image (e.g., via the input image and a noise surface file with similar characteristics as the sensor used to capture the input image) and applies it to the DTM without including large features such as buildings. The disclosed methods include utilize a process similar to that used for enhancing a DSM based on mapping the changing intensity from the image file to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensors and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic and can be applied on any type of image collected by any type of sensor.

Abstract: Systems and methods of enhancing the resolution of digital terrain models (DTM) for location-based applications and analyses. The DTM enhancement process takes the signature of the input image (e.g., via the input image and a noise surface file with similar characteristics as the sensor used to capture the input image) and applies it to the DTM without including large features such as buildings. The disclosed methods include utilize a process similar to that used for enhancing a DSM based on mapping the changing intensity from the image file to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensors and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic and can be applied on any type of image collected by any type of sensor.

Abstract: A method for classifying a prospective traveler based on statistical inference is described herein. The method comprises receiving an input associated with the prospective traveler. Encoded representation of preferences and goals may be extracted from the input and levels and may be assigned to the preferences and goals. Based on the levels assigned to the preferences and goals, the prospective traveler may be classified according to one or more traveler profiles. Based on the classification, one or more consumer choices may be offered to the prospective traveler.

Abstract: Provided is a system for automated medical decision-making. The system may include a first parser configured to parse text associated with medical information sources to obtain medical information and a second parser configured to parse patient data to obtain processed patient data. A processor, in communication with the first parser and the second parser, is configured to structure the medical information to form structured medical metadata in an intelligent medical database. Based on the structured medical metadata, the processor creates a causal network and receives the patient data from patient data sources. When the patient data is parsed by the second parser and the processed patient data is obtained, the processor maps the processed patient data against the causal network and generates the medical decision for the patient based on the mapping.

Abstract: Systems and methods of enhancing the resolution of digital terrain models (DTM) for location-based applications and analyses. The DTM enhancement process takes the signature of the input image (e.g., via the input image and a noise surface file with similar characteristics as the sensor used to capture the input image) and applies it to the DTM without including large features such as buildings. The disclosed methods include utilize a process similar to that used for enhancing a DSM based on mapping the changing intensity from the image file to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensors and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic and can be applied on any type of image collected by any type of sensor.

Abstract: A method for translating user requests into itinerary solutions is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with parsing the itinerary request to create an itinerary network associated with the itinerary request. The itinerary network may include at least two or more nodes and dependencies between two or more nodes. Upon the parsing, a topology of the itinerary network may be created. The method may include processing the itinerary network using the topology to create a plurality of tuples. The plurality of tuples may be analyzed. The method may continue with determining feasible itinerary solutions based on the analysis. The feasible itinerary solutions may be ranked. The method may further include presenting, to the one or more passengers, at least one itinerary solution selected from the feasible itinerary solutions based on the ranking.

Abstract: A method for classifying a prospective traveler based on statistical inference is described herein. The method comprises receiving an input associated with the prospective traveler. Encoded representation of preferences and goals may be extracted from the input and levels and may be assigned to the preferences and goals. Based on the levels assigned to the preferences and goals, the prospective traveler may be classified according to one or more traveler profiles. Based on the classification, one or more consumer choices may be offered to the prospective traveler.

Abstract: Systems and methods that process natural language travel requests are described herein. According to some embodiments, methods for processing natural language travel requests may include: (a) decoding itinerary components from a natural language travel request, (b) determining a node type for each of the itinerary components, (c) ascertaining dependencies between each of the itinerary components based upon respective node types, (d) generating an unconstrained schedule using the itinerary components and respective dependencies therebetween, and (d) allocating available inventory to each of the itinerary components according to the unconstrained schedule to fulfill the natural language travel request.

Abstract: Systems and methods of enhancing the resolution of digital terrain models (DTM) for location-based applications and analyses. The DTM enhancement process takes the signature of the input image (e.g., via the input image and a noise surface file with similar characteristics as the sensor used to capture the input image) and applies it to the DTM without including large features such as buildings. The disclosed methods include utilize a process similar to that used for enhancing a DSM based on mapping the changing intensity from the image file to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensors and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic and can be applied on any type of image collected by any type of sensor.

Abstract: Systems and methods for optimization-based travel itinerary planning are described herein. An example method may commence with receiving a travel-related query from a user and deriving, from the travel-related query, at least one attribute and at least one constraint related to the travel-related query. The method may continue with ranking the at least one attribute based on preferences data of the user. The method may further include assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. The method may continue with associating cost data with the at least one weighted attribute. Feasible travel itineraries may be scored based on the at least one weighted attribute and the cost data associated with the at least one weighted attribute. The method may further include selecting, from the feasible travel itineraries, an optimal travel itinerary based on the at least one constraint.

Abstract: A method for translating user requests into itinerary solutions is disclosed. The method may commence with receiving an itinerary request associated with one or more passengers. The method may continue with parsing the itinerary request to create an itinerary network associated with the itinerary request. The itinerary network may include at least two or more nodes and dependencies between two or more nodes. Upon the parsing, a topology of the itinerary network may be created. The method may include processing the itinerary network using the topology to create a plurality of tuples. The plurality of tuples may be analyzed. The method may continue with determining feasible itinerary solutions based on the analysis. The feasible itinerary solutions may be ranked. The method may further include presenting, to the one or more passengers, at least one itinerary solution selected from the feasible itinerary solutions based on the ranking.

Abstract: Systems and methods of enhancing the resolution or restoring details associated with high resolution images into a filtered digital surface model (DSM) for location-based applications and analyses. The disclosed methods include mapping the changing gray scale values (intensity) from the images to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensor illumination geometry, and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic. That is, the disclosed methods can be applied on any type of images collected by any type of sensor.

Abstract: Systems and methods of enhancing the resolution or restoring details associated with high resolution images into a filtered digital surface model (DSM) for location-based applications and analyses. The disclosed methods include mapping the changing gray scale values (intensity) from the images to changes in elevation in the DSM using a regression over a local neighborhood of pixels. Further, the disclosed methods do not rely on information about the sensor illumination geometry, and are extendable to be able to utilize any types of images. Additionally, the disclosed embodiments are sensor agnostic. That is, the disclosed methods can be applied on any type of images collected by any type of sensor.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: A method for improved management of an airline inventory during a service disruption is described. The method comprises receiving, at a mirror of a legacy inventory system, one or more updates from a re-accommodation system. The mirror is populated with the one or more updates. The method proceeds with communicating the one or more updates to the legacy inventory system at a controlled rate. The one or more updates communicated to the legacy inventory system are flagged as pending update. A confirmation that the one or more records are updated in the legacy inventory system is received. The confirmation indicates synchronization of the mirror and legacy inventory system. In response to the confirmation, the one or more updates are unflagged in the mirror. Statistical evaluation of the inventory is provided based on the one or more updates in the mirror.

Abstract: A method for facilitating travel reservations is described. The method may commence with receiving a travel-related query from a user and parsing the travel-related query to derive at least one attribute of the travel-related query. One or more further users may be selected based on comparing the at least one attribute of the user with attributes of the one or more further users. The at least one attribute of the user may be ranked based on preference data of the one or more further users. The method may continue with assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. Feasible travel itineraries may be searched based on the at least one attribute. The feasible travel itineraries may be scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.

Abstract: This disclosure is generally directed to a method and system for business travel and expense management. An example method comprises receiving a travel-related query from a user associated with a business entity. The travel-related query is parsed to derive at least one attribute, such as travel arrangement details or preferences. Furthermore, a normalized allowable budget for the user is determined based at least in part on the at least one attribute related to the travel-related query. The normalized allowable budget is dynamically determined by applying business entity rules or artificial intelligence against historical travel data associated with one or more users. Furthermore, feasible travel itineraries for the user are selected based on the normalized allowable budget and the travel-related query and presented to the user via a user interface.

Abstract: An exchange that fulfills natural language travel requests is described herein. According to some embodiments, systems for managing an exchange that fulfills natural language travel requests may include a publishing module that receives a plurality of inventory records from a plurality of suppliers, each of the plurality of inventory records pertaining to an available offering, the offering being defined by a set of metadata attributes, and a pattern recognition artificial intelligence engine that generates equivalent phrases for the set of metadata attributes from each inventory record by applying pattern recognition artificial intelligence to the set of metadata attributes, the equivalent phrases representing possible natural language queries to which an inventory record may correspond.

Abstract: A method for improved management of an airline inventory during a service disruption is described. The method comprises receiving, at a mirror of a legacy inventory system, one or more updates from a re-accommodation system. The mirror is populated with the one or more updates. The method proceeds with communicating the one or more updates to the legacy inventory system at a controlled rate. The one or more updates communicated to the legacy inventory system are flagged as pending update. A confirmation that the one or more records are updated in the legacy inventory system is received. The confirmation indicates synchronization of the mirror and legacy inventory system. In response to the confirmation, the one or more updates are unflagged in the mirror. Statistical evaluation of the inventory is provided based on the one or more updates in the mirror.

Abstract: A method for facilitating travel reservations is described. The method may commence with receiving a travel-related query from a user and parsing the travel-related query to derive at least one attribute of the travel-related query. One or more further users may be selected based on comparing the at least one attribute of the user with attributes of the one or more further users. The at least one attribute of the user may be ranked based on preference data of the one or more further users. The method may continue with assigning weights to the at least one attribute based on the ranking to create at least one weighted attribute. Feasible travel itineraries may be searched based on the at least one attribute. The feasible travel itineraries may be scored based on the at least one weighted attribute and travel itineraries selected based on the scoring may be presented.