Analysis of Bio-material using Neural Computing Methodology (2008)
Hamid S. Kohen, Gregory H. Bearman, Nikzad Toomarian
molecular assessments, multi-spectral images, and liquid crystal tunable filters. This paper describes a novel learning methodology used to analyze bio-materials. The premise of this research is to...
Partial Differential Equations on the Intel Touchstone Delta Supercomputer (2008)
Nikzad Toomarian, Amir Fijany, Jacob Barhen, Nikzad Toomarian, Amir Fijany, Jacob Barhen
Evolutionary partial differential actuations are usually solved by discretization in time and space, and by applying a marching in time procedure to data and algorithms potentially parallelized in...
Cancer detection using neural computing methodology (2007)
Toomarian, Nikzad, Kohen, Hamid S., Bearman, Gregory H., Seligson, David B.
This paper describes a novel learning methodology used to analyze bio-materials. The premise of this research is to help pathologists quickly identify anomalous cells in a cost efficient method....
(abstract) Application of Neural Networks to Hyperspectral Unmixing (2004)
Barhen, Jacob, Toomarian, Nikzad
The emergence, in recent years, of hyperspectral sensors provides a tremendous opportunity for advancing the process of detailed and direct remote detection and identification from space of targets...
Toomarian, Nikzad, Fijany, Amir, Barhen, Jacob
This paper presents the implementation of a new class of massively parallel algorithms for solving certain time-dependent partial differential equations (PDEs) on massively parallel-supercomputers.
Morphable Computer Architectures for Highly Energy Aware Systems (1998)
Kogge, Peter, Freeh, Vincent, Brockman, Jay, Ghose, Kanao, Toomarian, Nikzad
To achieve a revolutionary reduction in overall power consumption, computing systems must be constructed out of both inherently low-power structures and power-aware or energy-aware hardware and...