Dr. Paul A. Elmore Profile

Dr. Paul A. Elmore

at US Naval Research Lab

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Author

Publications (4)

Proceedings Article | 22 April 2020 Presentation + Paper

Neuro-fuzzy logic for parts-based reasoning about complex scenes in remotely sensed data

Blake Ruprecht, Charlie Veal, Al Cannaday, Derek Anderson, Fred Petry, James Keller, Grant Scott, Curt Davis, Charles Norsworthy, Paul Elmore, Kristen Nock, Elizabeth Gilmour

Proceedings Volume 11423, 114230H (2020) https://doi.org/10.1117/12.2558094

KEYWORDS: Logic, Fuzzy systems, Fuzzy logic, Sensors, Remote sensing, Artificial intelligence, Data modeling, Satellite imaging, Earth observing sensors, Satellites

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Proceedings Article | 7 May 2019 Presentation + Paper

Deep learning on hyperspectral data to obtain water properties and bottom depths

Kristen Nock, Elizabeth Gilmour, Paul Elmore, Eric Leadbetter, Nina Sweeney, Frederick Petry

Proceedings Volume 11018, 110180Y (2019) https://doi.org/10.1117/12.2519881

KEYWORDS: Machine learning, Water, Data modeling, Optical properties, Hyperspectral imaging, Ocean optics, Convolutional neural networks

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Proceedings Article | 5 May 2017 Presentation + Paper

Autonomous UAV search planning with possibilistic inputs

Emily Grayson, Paul Elmore, Don Sofge, Fred Petry

Proceedings Volume 10195, 1019508 (2017) https://doi.org/10.1117/12.2261112

KEYWORDS: Computer simulations, Detection and tracking algorithms, Analytical research, Filtering (signal processing), Bayesian inference, Unmanned aerial vehicles, Sensors, Target detection, Data processing, Probability theory

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Proceedings Article | 3 May 2017 Paper

An approach to explainable deep learning using fuzzy inference

David Bonanno, Kristen Nock, Leslie Smith, Paul Elmore, Fred Petry

Proceedings Volume 10207, 102070D (2017) https://doi.org/10.1117/12.2268001

KEYWORDS: Fuzzy logic, Neurons, Machine learning, Classification systems, Telecommunications, Sensors, Neural networks, Artificial intelligence, Sensor fusion, Image classification, Embedded systems, Fuzzy systems, Rule based systems

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