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Fredric M. Ham
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2010 – 2019
- 2014
- [c16]Bereket Mathewos Hambebo, Marco M. Carvalho, Fredric M. Ham:
Performance evaluation of static frequency reuse techniques for OFDMA cellular networks. ICNSC 2014: 355-360 - [c15]Bereket Mathewos Hambebo, Marco M. Carvalho, Fredric M. Ham:
Strategies for Spectrum Allocation in OFDMA Cellular Networks. LION 2014: 378-382 - 2012
- [c14]Fredric M. Ham, Ishwarya Iyengar, Bereket M. Hambebo, Milton Garces, John E. Deaton, Anna Perttu, Brian Williams:
A Neurocomputing Approach for Monitoring Plinian Volcanic Eruptions Using Infrasound. INNS-WC 2012: 7-17 - 2011
- [c13]Bereket Mathewos Hambebo, Marco M. Carvalho, Fredric M. Ham:
Network traffic classification using a parallel neural network classifier architecture. CSIIRW 2011: 33 - [c12]Ajay S. Iyer, Fredric M. Ham, Milton Garces:
Neural classification of infrasonic signals associated with hazardous volcanic eruptions. IJCNN 2011: 336-341 - 2010
- [c11]Eyosias Yoseph Imana, Fredric M. Ham, William H. Allen, Richard Ford:
Proactive reputation-based defense for MANETs using radial basis function neural networks. IJCNN 2010: 1-6
2000 – 2009
- 2009
- [c10]Fredric M. Ham, Eyosias Yoseph Imana, Attila Ondi, Richard Ford, William H. Allen, Matthew Reedy:
Reputation Prediction in Mobile Ad Hoc Networks Using RBF Neural Networks. EANN 2009: 485-494 - 2008
- [c9]Kyu Y. Han, Brian Lail, Fredric M. Ham:
Low-profile twist reflector design using genetic algorithms. IEEE Congress on Evolutionary Computation 2008: 1702-1707 - 2007
- [c8]Fredric M. Ham, Ranjan Acharyya, Young-Chan Lee, Milton Garces, David Fee, Chelsea Whitten, Eric Rivera:
Classification of Infrasound Surf Events Using Parallel Neural Network Banks. IJCNN 2007: 720-725 - [c7]Ranjan Acharyya, Fredric M. Ham:
A New Approach for Blind Separation of Convolutive Mixtures. IJCNN 2007: 2075-2080 - 2006
- [c6]Fredric M. Ham, Ranjan Acharyya, Young-Chan Lee:
Speaker Verification using 3-D ROC Curves for Increasing Imposter Rejections. IJCNN 2006: 2561-2565 - 2005
- [j6]Danil V. Prokhorov, Daniel S. Levine, Fredric M. Ham, William Howell:
Welcome to the special issue. Neural Networks 18(5-6): 457- (2005) - [j5]Sungjin Park, Fredric M. Ham:
Secure Medial Image Transmission Using Independent Component Analysis of Digitally Modulated Mixtures. Neural Parallel Sci. Comput. 13(1): 37-50 (2005) - [j4]Heriberto Jose Delgado, Michael H. Thursby, Fredric M. Ham:
A novel neural network for the synthesis of antennas and microwave devices. IEEE Trans. Neural Networks 16(6): 1590-1600 (2005) - [c5]Soowhan Han, Kwangeui Lee, Jongkeuk Lee, Fredric M. Ham:
Fourth-Order Cumulants and Neural Network Approach for Robust Blind Channel Equalization. ICNC (1) 2005: 1100-1112
1990 – 1999
- 1999
- [j3]John D. Bard, Fredric M. Ham:
Time difference of arrival dilution of precision and applications. IEEE Trans. Signal Process. 47(2): 521-523 (1999) - [c4]Fredric M. Ham, Thomas A. Leeney, Heather M. Canady, Joseph C. Wheeler:
An infrasonic event neural network classifier. IJCNN 1999: 3768-3773 - 1998
- [j2]Fredric M. Ham, Ivica N. Kostanic:
A neural network architecture for partial least-squares regression (PLSNET) with supervised adaptive modular Hebbian learning. Neural Parallel Sci. Comput. 6(1): 35-72 (1998) - 1997
- [j1]Fredric M. Ham, Ivica N. Kostanic, Glenn M. Cohen, Brent R. Gooch:
Determination of glucose concentrations in an aqueous matrix from NIR spectra using optimal time-domain filtering and partial least-squares regression. IEEE Trans. Biomed. Eng. 44(6): 475-485 (1997) - 1996
- [c3]Fredric M. Ham, Emmanuel G. Collins Jr.:
A neurocomputing approach for solving the algebraic matrix Riccati equation. ICNN 1996: 617-622 - [c2]Ivica N. Kostanic, Fredric M. Ham:
Regulation of nonlinear plants using radial basis function neural networks. ICNN 1996: 2220-2225 - 1990
- [c1]Sinmo Sung, Fredric M. Ham, Wesley Shelton:
A new robust neural network method for coherent interference rejection in adaptive array systems. IJCNN 1990: 119-124
Coauthor Index
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