Articles published in refereed journals
Muhonen, K., Grund, E., Peachey, N., and Hemminger, T. L., “Alternative Method for Electrostatic Discharge Stress Testing of Individual System Components,” IET Science, Measurement, and Technology, vol. 4, iss. 4, pp.220-228, 2010. [Co-author]
Wang, W., and Hemminger, T. L., "A moving average non-homogeneous Poisson process reliability growth model to account for software with repair and system structures," IEEE Transactions on Reliability, vol. 56, no. 3, pp. 411-421, 2007.
Wang, W., and Hemminger, T. L., “A user-oriented reliability modeling approach for Web systems,” International Journal of Web Engineering and Technology, vol. 3, no. 3, pp. 288-306, 2007.
Wang, W., and Hemminger, T. L., “A moving average modeling approach for computing component-based software reliability growth trends,” INFOCOMP Journal of Computer Science, vol. 5, no. 3, pp. 9-18, 2006.
Hemminger, T. L., “Antenna impedance matching with neural networks,” International Journal of Neural Systems, vol.15, no. 5, pp. 1-5, 2005.
Nelatury, S. R., Hemminger, T. L., and Sadiku, M. N. O., “An equivalent circuit model of a plasma core inductor,” IEEE Transactions on Plasma Science, vol. 33, no. 3, pp. 1100-1105, 2005.
Hemminger, T. L., Coulston, C., and Pomalaza-Raez, C., “Routing strategies for multicast packet radio networks,” International Journal of Smart Engineering System Design, vol. 4, no. 3, pp. 215-223, 2002.
Hemminger, T. L. [invited paper], “Using neural networks and computerized tomography to measure wall thickness of industrial plastics,” International Journal of Smart Engineering System Design, vol. 8, no. 4, pp. 273-282, 2000.
Hemminger, T. L., and Farrell, R. E., “High resolution measurement of translucent plastic wall thicknesses by computerized tomography and neural networks,” International Journal of Neural Systems, vol. 8, no. 3, pp. 317-324, 1997.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Determination of dependent and independent communication paths using neural networks,” International Journal of Neural Systems, vol. 7, no. 3, pp. 247-255, 1996.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Using neural networks to solve the multicast routing problem in packet radio networks,” International Journal of Neural Systems, vol. 7, no. 5, pp. 617-626, 1996.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Rotation and scale independent pattern recognition through optimization,” Pattern Recognition Journal, vol. 29, no. 3, pp. 487-495, 1996.
Hemminger, T. L., and Pao, Y-H., “Detection and classification of underwater acoustic transients using neural networks,” Institute of Electrical and Electronic Engineers Transactions on Neural Networks, vol. 5, no. 5, pp. 712-718, 1994.
Hemminger, T. L., “An illustration of convolution through animation,” Computers in Education Journal, vol. 3, no. 3, pp. 65-69, 1993.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Polygonal Representation: A maximum likelihood approach,” Computer Vision, Graphics, and Image Processing, vol. 52, pp. 239-247, 1990.
Articles published in refereed proceedings
Hemminger, T. L., Loker, D. R., and He, S., “A microcontroller-based neural network for DTMF decoding,” Artificial Neural Networks in Engineering (ANNIE), vol. 17, pp. 555-560, November 2007.
Loker, D., and Hemminger, T. L., “Simulation of neural network DTMF decoder”, IASTED International Conference on Modelling and Simulation, Montreal, Canada, May 2007.
Loker, D. R., and Hemminger, T. L., “A neural network based DTMF decoder,” Proceedings of the Artificial Neural Network in Engineering Conference (ANNIE 2006), vol. 16, pp. 335-340, November 2006.
Hemminger, T. L., Loker, D. R., and Pomalaza-Raez, C. A., “A neural method for identifying transmission source locations,” Proceedings of the 17th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communication (PIMRC’06), Session TA4-4, (published on CD, DOI: 10.1109/PIMRC.2006. 254049), 5 pp., 2006.
Hemminger, T. L., “Understanding transmission line impedance matching with neural networks and PowerPoint,” Frontiers in Education, Indianapolis, IN, November 2005.
Hemminger, T. L. and Wang, W., “Reliability modeling of software using history dependent Markov models,” Artificial Neural Networks in Engineering, St. Louis, MO, November 2005.
Wang, W., and Hemminger, T. L., “Event driven reliability modeling for distributed systems,” Artificial Neural Networks in Engineering, St. Louis, MO, November 2005.
Hemminger, T. L., Loker, D. L., and Pomalaza-Raez, C.A., “A new method to determine transmitter localization using neural networks,” Artificial Neural Networks in Engineering, St. Louis, MO, November 2005.
Coulston, C., Hemminger, T. L., Scharf, S., Vitolo, T. M., “Modeling the local bending reflex of the leech,” Artificial Neural Networks in Engineering (ANNIE), pp. 803-808, 2004.
Gray, R., and Hemminger, T. L., “A hands-on navigation technology workshop to support the Math Options for girls program,” 60th Annual Institute of Navigation Conference, Dayton, OH, 7 pp., 2004.
Hemminger, T. L., “A neural control method for impedance matching of antenna systems,” Artificial Neural Networks in Engineering (ANNIE), pp. 553-558, 2003.
Hemminger, T. L., and Ford, R. M., “Digital signal processing in the undergraduate curriculum,” American Society for Engineering Education Annual Conference and Exposition, 14 pp., 2002.
Hemminger, T. L., and Gray, R., “A neural-based method of determining aircraft landing paths from DTED,” Artificial Neural Networks in Engineering (ANNIE), pp. 995-1000, 2002.
Hemminger, T. L., “Transmission line impedance matching with neural networks,” Artificial Neural Networks in Engineering (ANNIE), pp. 877-882, 2002.
Pomalaza-Raez, C. A., and Hemminger, T. L., “A unified approach to dynamic TDMA slot assignment and to distributed routing for multi-hop packet radio networks,” Artificial Neural Networks in Engineering (ANNIE), pp. 975-980, 2002.
Gray, R., and Hemminger, T. L., “Validating digital terrain elevation with neural networks,” Artificial Neural Networks in Engineering (ANNIE), pp. 673-678, 2001.
Hemminger, T. L., and Lasher, W. C., “Introduction of design concepts in the freshman year,” ASEE 1999 North Central Section Conference, Erie, PA, 1999.
Hemminger, T. L., “Enhanced Dimensional Analysis of Semi-Liquid Plastics Using Neural Networks,” Artificial Neural Networks in Engineering, St. Louis, MO, pp. 791-796, 1998.
Hemminger, T. L., “Signal estimation with neural networks for multipath mobile communications,” IEEE International Conference on Neural Networks, Houston, TX, pp. 138-141, 1997.
Hemminger, T. L., and Farrell, R. E., “Improving Blow Molding Machine Performance With Neural Networks,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, pp. 861-866, 1997.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Two novel approaches for determining the minimum number of transmissions in multicast packet radio networks,” IEEE Fourth International Symposium on Spread Spectrum Techniques & Applications, Mainz, Germany, vol. 8, no. 3, pp. 317-324, 1996. [Invited paper]
Hemminger, T. L., and Pomalaza-Raez, C.A., “A neural network solution to the multicast packet radio transmission problem,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, pp. 965-970, 1996.
Hemminger, T. L., Pomalaza-Raez, C. A., and Whitehill, E., “Algorithms for routing in multicast packet radio networks,” Tactical Communications Conference, Fort Wayne, IN, pp. 243-249, 1996.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Determining the minimum number of transmissions in multicast packet radio networks,” IEEE International Conference on Neural Networks, Washington, D.C., vol. 1, pp. 571-576, 1996.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Determining the number of dependent and independent paths through packet radio networks using a Hopfield net,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, vol. 5, pp. 989-994, 1995.
Hemminger, T. L., Holliday-Darr, K., Young, J., Lasher, W., Evans, E., Beaumont, J., Ford, R., and Khalilollahi, A., “An innovative approach to incorporating design into the freshman year,” 1995 Annual ASEE Conference Proceedings, Anaheim, CA, pp. 2055-2059, 1995.
Hemminger, T. L., and Pomalaza-Raez, C. A., “Using a Hopfield network for rotation and scale independent pattern recognition,” Institute of Electrical and Electronic Engineers World Congress on Computational Intelligence, Orlando, FL, vol. 5, pp. 3003-3008, 1994.
Hemminger, T. L., “Acoustic transient identification using neural networks,” Artificial Neural Networks in Engineering (ANNIE), St. Louis, MO, pp. 769-774, 1993.
Pao, Y-H., and Hemminger, T. L., “Determination of source position in multipath environments using neural networks,” 1992 International Conference on Communications Technology, Tsinghua Campus, Beijing, China, pp. 142-147, 1992.
Hemminger, T. L., and Pao, Y-H., “A real-time neural-net computing approach to the detection and classification of underwater acoustic transients,” The Fifth Conference on Neural Networks and Parallel Distributed Processing, Indiana University/Purdue University, Fort Wayne, IN, pp. 193-200, 1992.
Articles published in non-refereed proceedings
Adams, D. J., Clary, S., Pao, Y-H., Hemminger, T. L., and Yip, P. C., “An efficient hierarchical neural network architecture for discriminating time-varying underwater signals,” Proceedings of the Government Neural Network Applications Workshop, pp. 7-11, 1992. (export-controlled paper)
Pao, Y-H., and Hemminger, T. L., “Trains of transients: What to expect and how to measure similarity,” 14th International Congress on Acoustics at the Invited Structured Session on Underwater Sound Signal Processing, Beijing, China, pp. 83-86, 1992.