This dissertation addresses the development of new 2-D and 3-D layout
algorithms for statistical visualization purposes. These layouts serve tasks that include
placing near neighbors close together, showing group or ...
The primary goal of this research is to create 3d maps of George Mason Fairfax roads.
These maps will be used in the 3d driving simulator. Towards this goal I have decided to
use Google Cartographer, which uses Lidar and ...
Coronal cavities are large scale structures in the solar corona that are closely related to the long-term evolution of the magnetic field in the photosphere as well as associated with energetic solar activity such as ...
Bacterial resistance to antibiotics continues to be a serious concern worldwide. This has motivated a strong research focus on naturally-occurring antimicrobial peptides (AMPs) as templates for new drug development. To ...
Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive disease of unknown etiology that is characterized by the histopathological pattern of usual interstitial pneumonia. The pathogenic mechanisms that regulate the ...
Discovering all drug and vaccine side effects during the development process is impos-sible. This dissertation aims to propose a framework in exploring spatiotemporal adverse event surveillance models by identifying adverse ...
This research presents an innovative process of text-based Volunteered Geographic Information (VGI) validation by programmatically constructing geoparsed geospatial footprints. Place names are collected in a detailed, ...
The climatological community relies increasingly on computing intensive models and applications to study atmospheric chemistry, aerosols, carbon cycle and other tracer gases. These models and applications are becoming ...
All biological problems, including cancer, mental disorders, rare diseases, and immunological disorders, are complex multisystem pathophysiological shifts facilitated by functional changes. Multiple points of origin and ...
Whole-cell computational models are very beneficial to understand and predict the underlying cellular and ionic mechanism in the heart. We developed a stochastic ventricular myocyte model of Guinea pig with 20000 stochastically ...
Global Climate Models (GCMs) are essential tools to simulate future climate indicators and are widely used in global climate change studies. The outputs of GCMs are one of the largest sources of multidimensional gridded ...
The variability of the X-ray emission from black holes is often characterized in terms of the time lags observed between the soft and hard energy bands in the detector. The time lags are usually computed using the complex ...
NURBS stands for a "Non-Uniform Rational B-Spline" type of surface. Ship hull forms are represented by NURBS in most of the modern Computer Aided Ship Design (CASD) environments. Computational fluid dynamics (CFD) based ...
With an overall lifetime risk of about 4.3% and 4.0%, in men and women respectively, colorectal cancer remains the third leading cause of cancer-related deaths in the United States. In persons aged 55 and below, its rate ...
Agricultural studies and food security have become critical research topics due to continuous growth in human population and simultaneous shrinkage in agricultural land. In spite of modern technological advancements to ...
Extracellular vesicles (EVs) released from healthy and diseased tissue interstitial fluid (IF) into the lymphatic drainage are poorly understood aspects of EV biology. EVs circulating in the lymph constitute an information ...
Most Earth observation hyperspectral imagery (HSI) detection and identification algorithms depend critically upon a robust atmospheric compensation capability to correct for the effects of the atmosphere on the radiance ...
Soil color patterns are essential to understand hydrologic regime and biogeochemical processes in wetland ecosystems. The Munsell Soil Color Chart (MSCC) has been traditionally and predominantly used to identify and quantify ...