| Course | Days | Time | Bldg/Room |
| CS3223/02-Computer Architecture | T-R | 1:30PM-2:45PM | J-151 |
| CS3223/01-Computer Architecture | T-R | 7:30PM-8:45PM | J-151 |
| CS2223-Digital Design | M-W | 3:00PM-4:15PM | J-131 |
2.
A. Faruque, Raj Bahadur and
Gregory A. Carter, “Application of Artificial Neural Networks for the
Classification of Remote Sensing
Spectral Reflectance Data of Fungal Infected Soybean Leaf”, in Proceedings
of the 65th. Annual Conference of
3. A. Faruque, H. Mayfield & B.K. Lavine, “FIP: A Pattern Recognition Software Tool Developed using Matlab for the Classification of Gas Chromatographic Data”, in Proceedings of the 64th. Annual Conference of Mississippi Academy of Sciences, February 2000.
4. B.K. Lavine, J. Ritter, A. J. Moores, M. Wilson, A. Faruque and H. T. Mayfield, "Source Identification of Underground Fuel Spills by Solid-Phase Microextraction/High-Resolustion Gas Chromatography/Genetic Algorithms", in Analytical Chemistry, vol. 72, No. 2 , pp 423-431, January, 2000.
5. B.K. Lavine, A. J. Moores, H. T. Mayfield and A. Faruque, "Genetic Algorithms Applied to Pattern Recognition Analysis of High-Speed Gas Chromatograms of Aviation Turbine Fuels Using an Integrated Jet-A/JP-8 Databases", in Microchemical Journal, vol. 61, No. 1, ISSN: 0026-265X , pp 69-78, January, 1999.
6. B.K. Lavine, A. J. Moores, H. T. Mayfield and A. Faruque, "Fuel Spill Identification by Gas Chromatography - Genetic Algorithms/Pattern Recognition Techniques", in Analytical Letters, vol. 31, No. 15 , pp 2805-2822, 1998.
7. M. Sayeed Hasan, A. Faruque & David B. Burr, “Application of Artificial Neural Network for Micro-Crack and Damage evaluation of Bone”, in Biomedical Sciences Instrumentation, vol. 33, edited by Hamed A. Benghuzzi and Praphulla K. Bajpai, ISBN: 1-55617-623-6, ISA, pp 382-387, 1997.
8. M. S. Hasan and A. Faruque, “Neural Network Application on Fracture Mechanics Analysis of an Orthotropic Elastic Media with Three Cracks Under Biaxial Loading”, in Proceedings of the Third International Conference on Composite Engineering, pp 263-265, July 1996.
9. A. Faruque, H.T. Mayfield, B.K. Lavine, Paul Edward, “Application of Neural Networks to the Classification of Chromatographic Data”, in Proceeding of 1995 PITCON Conference, March 1995.
10. B.K. Lavine, H. Mayfield, P. Kromann, and A. Faruque, "Source Identification of Underground Fuel Spills by Pattern Recognition Analysis of High Speed Gas Chromatograms", in Analytical Chemistry, vol. 67, No. 21, pp 3846-3852, November, 1995.
11. A. Faruque, Y.S. Fong, D.W. Bray, "Parallel processing architecture for the efficient use of memory in image processing applications", in Optical Engineering, Vol.30(7), special issue on Visual Communication and Image Processing III, pp 994?1004, July 1991.
12. B.K. Lavine, R. Patel, A. Faruque, J.M. Nedeljkovic, S. Mohan, "Digital Filtering Applied to Diode Array Fluorescence Spectroscopy", in Analytical Chemistry, vol. 63, No. 7, pp 708?712, 1991.
13. A. Faruque and Y.S. Fong, "Performance analysis through memory of a proposed parallel architecture for the efficient use of memory in image processing applications", in SPIE Proceedings, Vol. 1606, Visual Communications and Image Processing, pp 865-877, 1991.
14. A. Faruque and Y.S. Fong, "Performance analysis of a proposed parallel architecture for image processing applications", in SPIE Proceedings, Vol. 1246, Parallel Architectures for Image Processing, pp 177-189, 1990.
15. Y.S. Fong and A. Faruque, "Parallel architecture for efficient use of memory subsystems in image processing", in SPIE,vol 845,Visual Communication and Image Processing II, pp 373-376, 1987.
16. Y.S. Fong and A. Faruque, "A Parallel computer architecture for the efficient use of memory subsystem in image processing application", in 30th. Midwest symposium on circuits and system, Syracuse University, New York, pp 329, August 1987.
17. A. Faruque, B.K. Lavine, and H. Mayfield, "FIP: A Pattern Recognition Program for Fuel Spill Identification Developed using the MATLAB Programming Environment", in Journal of Chemical Information & Computer Science, (in preparation).
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