Lance E. Besaw

发表

Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool

Keith C. Pelletier, Donna M. Rizzo, Leslie A. Morrissey, 2009 .

Estimating oil layer thickness: a vibrational spectroscopic approach

Lance E. Besaw, Gregory F. S. Hewitt, John W. Haas, 2013, Defense, Security, and Sensing.

Deep learning algorithms for detecting explosive hazards in ground penetrating radar data

Lance E. Besaw, Philip J. Stimac, L. Besaw, 2014, Defense + Security Symposium.

Parameter Estimation Using a Counter Propagation Artificial Neural Network with Multiple Types of Data

Donna M. Rizzo, Lance E. Besaw, 2006 .

Deep convolutional neural networks for classifying GPR B-scans

Lance E. Besaw, Philip J. Stimac, L. Besaw, 2015, Defense + Security Symposium.

Stochastic Conditional Simulation of Berea Sandstone Geophysical Properties with a Counterpropagation Neural Network

Donna M. Rizzo, Lance E. Besaw, 2008 .

Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone

Donna M. Rizzo, Lance E. Besaw, D. Rizzo, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Upscaling Agent-Based Discrete-Choice Transportation Models Using Artificial Neural Networks

Margaret J. Eppstein, Donna M. Rizzo, Lance E. Besaw, 2010 .

Application of an Artificial Neural Network for Analysis of Subsurface Contamination at the Schuyler Falls Landfill, NY

Donna M. Rizzo, Lance E. Besaw, Paula J. Mouser, 2006 .

Parameter Estimation Using an Artificial Neural Network to Incorporate Multiple Types of Data

Donna M. Rizzo, Lance E. Besaw, Paula J. Mouser, 2006 .

Sensor fusion approaches for EMI and GPR-based subsurface threat identification

Kenneth D. Morton, Peter A. Torrione, Lance E. Besaw, 2011, Defense + Commercial Sensing.

Stochastic simulation and spatial estimation with multiple data types using artificial neural networks

Donna M. Rizzo, Lance E. Besaw, D. Rizzo, 2007 .

Detecting buried explosive hazards with handheld GPR and deep learning

Lance E. Besaw, L. Besaw, 2016, SPIE Defense + Security.

Adaptive Gaussian mixture models for pre-screening in GPR data

Kenneth D. Morton, Peter A. Torrione, Lance E. Besaw, 2011, Defense + Commercial Sensing.

Counterpropagation Neural Network for Stochastic Conditional Simulation: An Application with Berea Sandstone

Donna M. Rizzo, Lance E. Besaw, 2007 .

Advances in ungauged streamflow prediction using artificial neural networks

Donna M. Rizzo, Lance E. Besaw, Paul R. Bierman, 2010 .

An Agent-Based Model for Estimating Consumer Adoption of PHEV Technology

Margaret J. Eppstein, Donna M. Rizzo, Lance E. Besaw, 2010 .