M.J. Jafri
Old Dominion University
16 Papers
101 Citations
M.J. Jafri is an academic researcher from Old Dominion University. The author has contributed to research in topics: Electromagnetic interference & Path loss. The author has an hindex of 6, co-authored 16 publications. Previous affiliations of M.J. Jafri include Lockheed Martin Corporation.
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Papers
A method for functional network connectivity among spatially independent resting-state components in schizophrenia.
TL;DR: A novel approach for quantifying functional connectivity among brain networks identified with spatial ICA is presented and applied to functional magnetic resonance imaging (fMRI) data collected from persons with schizophrenia and healthy controls.
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Functional Classification of Schizophrenia Using Feed Forward Neural Networks
M.J. Jafri,Vince D. Calhoun +1 more
- 01 Jan 2006
TL;DR: This research is an attempt to determine a biological marker for schizophrenia through the use of functional magnetic resonance imaging (fMRI), using a neural network approach and functional brain 'modes' estimated from resting state data using independent component analysis.
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Graphical and statistical analysis of airplane passenger cabin RF coupling paths to avionics
M.J. Jafri,Jay J. Ely,Linda Vahala +2 more
- 01 Jan 2003
TL;DR: This paper provides a graphical and statistical analysis of IPL data measured onboard two Boeing 737 airplanes, revealing valuable insight into EMI field propagation characteristics, measurement repeatability, selection of test equipment, and interpretation of measurement data related to IPL.
Graphical analysis of B-737 airplane pathloss data for GPS and evaluation of coupling mitigation techniques
M.J. Jafri,Jay J. Ely,Linda Vahala +2 more
- 01 Nov 2004
TL;DR: The paper first focuses on IPL measurements for GPS, taken on an out-of-service United Airlines B-737-200, and the shielding benefit of applying electrically conductive film to aircraft windows is evaluated for GPS and TCAS systems.
8
Near real-time skin deformation mapping
TL;DR: A novel in vivo approach is described that provides large area mapping of the mechanical properties of the skin in human patients and demonstrates its ability to accurately measure the skin deformation through a described nulling interpolation process.
6