Abstract: Automated detection of pipeline ruptures using machine learning techniques. A plurality of independent rupture detection techniques each generate a status determination indicative of whether the pipeline is ruptured. A combiner utilizing a neural network algorithm analyzes the status determinations to generate a single, high-confidence status determination indicative of whether the pipeline is ruptured.

Abstract: A system and method processes data and implements geographic based queries to allow users to visualize 3-D representations or massings of a building considering various zoning parameters for a real estate parcel. The user can choose to output the resulting information in digital and/or print format and perform 3-D massing for any lot or combination of lots on a city block. Using stored and/or input data, the system calculates the viability of the property as a real estate development investment by calculating a discounted cash flow (DCF) and/or an internal rate of return (IRR) and/or other investment metric values.

Abstract: A system and method processes data and implements geographic based queries to allow users to visualize 3-D representations or massings of a building considering various zoning parameters for a real estate parcel. The user can choose to output the resulting information in digital and/or print format and perform 3-D massing for any lot or combination of lots on a city block. Using stored and/or input data, the system calculates the viability of the property as a real estate development investment by calculating a discounted cash flow (DCF) and/or an internal rate of return (IRR) and/or other investment metric values.