Dr. Nicholas V. Scott Profile

Dr. Nicholas V. Scott

Physical Oceanographer and Spectral Scientist at Riverside Research

SPIE Involvement:

Author

Area of Expertise:

physical oceanography , ocean surface wave dynamics , image processing , signal processing , pattern recognition

Publications (7)

Proceedings Article | 22 April 2020 Paper

Spatio-temporal multicomponent optimal learning state estimation of direct numerically simulated turbulent features: a smart sensing approach

Nicholas Scott, Robert Handler, Zhen Cheng, Tian-Jian Hsu

Proceedings Volume 11420, 114200T (2020) https://doi.org/10.1117/12.2559818

KEYWORDS: Statistical analysis, Computer simulations, Data acquisition, Remote sensing, Environmental sensing, Signal processing, Surveillance, Machine learning, Numerical simulations, Environmental monitoring

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Proceedings Article | 22 April 2020 Presentation + Paper

Statistical data characterization of in-situ nitrate level time series in the Mississippi watershed

Nicholas Scott, Jack McCarthy, Ted Kratschmer, Miles Corcoran, Dietrick Lawrence, John Ploschnitznig

Proceedings Volume 11420, 114200G (2020) https://doi.org/10.1117/12.2559817

KEYWORDS: Data modeling, Matrices, Statistical analysis, Statistical modeling, In situ metrology, Data acquisition, Sensors, Machine learning, Data processing, Systems modeling

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Proceedings Article | 10 May 2019 Paper

Structural field analysis of a large eddy turbulent flow simulation using probabilistic graphical modeling

Nicholas Scott, Zhen Cheng

Proceedings Volume 11014, 110140S (2019) https://doi.org/10.1117/12.2517112

KEYWORDS: Fluid dynamics, Systems modeling, Principal component analysis, Independent component analysis, Remote sensing, 3D modeling, Particles, Statistical analysis, Wavelet transforms, Bayesian inference

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Proceedings Article | 25 May 2018 Paper

Nonnegative matrix factorization based feature selection analysis for hyperspectral imagery of sediment-laden riverine flow

Nicholas Scott, Ian Moore

Proceedings Volume 10631, 1063114 (2018) https://doi.org/10.1117/12.2301273

KEYWORDS: Hyperspectral imaging, Principal component analysis, Satellites, Sensors, Cameras, Feature selection, Pollution, Remote sensing, Chemical elements, Image analysis

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Proceedings Article | 25 May 2018 Paper

Phase based statistics from direct numerically simulated imagery of sediment-laden oscillatory flow for Bayesian belief network analysis

Nicholas Scott, Tian-Jian Hsu

Proceedings Volume 10631, 1063115 (2018) https://doi.org/10.1117/12.2303961

KEYWORDS: Independent component analysis, Statistical analysis, Wavelets, Turbulence, Computer simulations, Wavelet transforms, Signal processing, Systems modeling

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Proceedings Article | 30 April 2018 Paper

Bayesian belief network modeling of direct numerically simulated imagery variables for sub-surface structure diagnostics

Nicholas Scott, Tian-Jian Hsu

Proceedings Volume 10649, 1064912 (2018) https://doi.org/10.1117/12.2301255

KEYWORDS: Diagnostics, Statistical modeling, Systems modeling, Computer simulations, Coastal modeling, Statistical analysis, Statistical inference

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Proceedings Article | 17 May 2016 Paper

Structural characterization of wind-sheared turbulent flow using self-organized mapping

Nicholas Scott, Robert Handler

Proceedings Volume 9827, 98270X (2016) https://doi.org/10.1117/12.2220596

KEYWORDS: Numerical simulations, Turbulence, Analytical research, Hyperspectral imaging, Associative arrays, Signal processing, Interfaces, Visualization, Data processing, Motion models, Principal component analysis, Infrared technology

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Showing 5 of 7 publications

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