We present a methodology for creating a simulated foam microstructure for use in forward simulations of wave equations to quantitatively analyze the expected scattering phenomenon primarily responsible for the attenuation of interrogating signals in Sprayed-On Foam Insulation (SOFI). Our approach builds off of the popular use of Voronoi Tessalations for...
Support Vector Machines (SVM) and Random Forests (RF) have
consistently outperformed other machine learning algorithms on a variety of
problems. SVM can be used for classification and regression on many types of
data (e.g. nonlinear, high dimensional), but cannot handle missing or mixed data.
This research implements a permutation-based variable...
Support Vector Machines (SVM) and Random Forests (RF) have
consistently outperformed other machine learning algorithms on a variety of
problems. SVM can be used for classification and regression on many types of
data (e.g. nonlinear, high dimensional), but cannot handle missing or mixed data.
This research implements a permutation-based variable...
The decision to enter or exit a fishery can be expected to depend on the anticipated profitability of operating in
this fishery, as a function of observed vessel performances in previous years. For a vessel exiting a fishery,
there may be several reasons including decommissioning, selling or operating elsewhere. Entry...
Fisher behavior can be divided into choices made in the short term (i.e. tactics) and choices made in the long-mid term (i.e. strategies). Random utility modeling (RUM) is well suited for the empirical analysis of these issues. In this paper, RUM is applied to a number of EU fisheries in...
The National Marine Fisheries Service (NMFS) is mandated by law to analyze the benefits, costs, and economic impacts of the recreational fisheries policies it promulgates. NMFS has developed single species models that predict welfare and effort changes stemming from changes in various recreational regulations. Little is known, however, about angler...
