Refereed Journal Articles

• Young, William A. II; Holland, William S.; and Weckman, Gary R. (2008) "Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network," Journal of Quantitative Analysis in Sports: Vol. 4 : Iss. 4, Article 4.
  
  
• William A. Young II and Gary R. Weckman, "Evaluating the effects of aging for professional football players in combine events using performance-aging curves", ISSN 1750-9823, International Journal of Sports Science and Engineering, Vol. 02 (2008) No. 03, pp. 131-143.
  
  
• William A. Young II, Gary R. Weckman, Michael D. Brown and Jim Thompson, Extracting Knowledge of Concrete Shear Strength from Artificial Neural Networks - International Journal of Industrial Engineering: Theory Applications and Practice, Vol. 15, No. 1, March 2008.
  
  
• Sriram Lakshminarayanan, Andy Snow, Jon H. Marvel, An Integrated Stock Market Forecasting Model Using Neural Networks - International Journal of Business Forecasting and Marketing Intelligence (IJBFMI), V 1, N 1, 2008.
  
  
• J. H Marvel, M. A Schaub, G. R Weckman, Assessing the Availability and Allocation of Production Capacity in a Fabrication Facility Through Simulation Modeling: A Case Study, International Journal of Industrial Engineering - Theory, Applications and Practice, Vol 15, No 2 (2008).
  
  
• Gary R. Weckman, Chandrasekhar V. Ganduri and David A. Koonce, A Neural Network Job-Shop Scheduler Based On Knowledge Extraction From A Genetic Algorithm, Journal of Intelligent Manufacturing, Vol. 19 (2), 191-201 (2008).
  
  
• Tushyati Maudgalya, Ash Genaidy, Gary Weckman, Richard Shell, Waldemar Karwowski, Scott Wallace, “A Critical Appraisal of Epidemiological Studies Investigating the Effects of Ultrafine Particles on Human Health”, Human Factors and Ergonomics in Manufacturing, Vol. 18 (3) 358–373 (2008).
  
  
• Reynold Sequeira, Ash Genaidy, Gary Weckman, Richard Shell, Waldemar Karwowski, Adriana Acosta-Leon, “Health Effects of Nanomaterials: A Critical Appraisal Approach and Research to Practice”, Human Factors and Ergonomics in Manufacturing, Vol. 18 (3) 293–341 (2008).
  
  
• Kubi Kara, Jinen Kothari, Ash Genaidy, Gary Weckman, R. Shell, W. Karwowski, “The Factors Affecting Healthcare Costs in Manufacturing”, Human Factors and Ergonomics in Manufacturing, Vol. 18 (2) 199–211 (2008).
  
  
• R. Sequeira, A. Genaidy, R. Shell, W. Karwowski, G. Weckman, S. Salem, “The Nano Enterprise: A Survey of Health and Safety Concerns, Considerations and Proposed Improvement Strategies to Reduce Potential Adverse Effects”, Human Factors and Ergonomics in Manufacturing, Vol 16, Issue 4, Fall 2006, p. 343-368.
  
  
• Weckman, G.R., J.H. Marvel, and R.L. Shell, “A Decision Support Approach to Fleet Maintenance Requirements in the Aviation Industry”, Journal of Aircraft, Vol 43, No. 5, September/October, 2006, pp. 1352-1360.
  
  
• Hernandez, S., S. Nesic, G. Weckman, V. Ghai, “Use of Artificial Neural Networks for Predicting Crude Oil Effect on CO2 Corrosion of Carbon Steels”, Corrosion Journal, Volume 62, No. 6, June 2006.
  
  
• David F. Millie, Gary R. Weckman, Ryan J. Pigg, Patricia A. Tester, Julianne Dyble, R. Wayne Litaker, Hunter J. Carrick, Gary L. Fahnenstiel, “Modeling Phytoplankton Abundance in Saginaw Bay, Lake Huron: Using Artificial Neural Networks to Discern Functional Influence of Environmental Variables and Relevance to a Great Lakes Observing System”, Journal of Phycology, Volume 42, No. 2, April 2006.
  
  
• Snow, A., Weckman G., and Chayanam, K., “Modeling Telecommunication Outages Due to Power Loss”, International Journal of Industrial Engineering: Theory Applications and Practice, Vol. 13, No. 1, March 2006.
  
  
• Millie, D. F., Weckman, G. R., Paerl, H. W., Pinckney, J. L., Bendis, B. J., Pigg, R. J., & Fahnenstiel, G. L.  Neural network modeling of estuarine indicators: hindcasting phytoplankton biomass and net ecosystem production in the Neuse (North Carolina) and Trout (Florida) Rivers.  Ecological Indicators.  6: 589-608, 2006.
  
  
• Weckman, G.R., R.L. Shell, and J.H. Marvel, “Modeling the Reliability of Repairable Systems in the Aviation Industry”, Computers in Industrial Engineering, v40, n1-2, June 2001, p 51-63.
  
  
• Marvel, J.H., R.L. Shell, and G.R. Weckman, “An Application of Heuristic Algorithms for Determining Inventory Location in a Distribution Warehouse” International Journal of Industrial Engineering: Theory Applications and Practice, v8, n1, March 2001, p 5-15.
  
  Refereed Journal Articles: Accepted Pending
  
  
• Tuncel, S., Weckman, G., Genaidy, A., Kara, K., Assessment Tool for Engineering Labs in a University Setting: Development and Application, Journal of Safety Research.  Refereed journal articles:  Submitted waiting peer review.
  
  Refereed Journal Articles: Submitted Waiting Peer Review
  
  
• Gary R. Weckman, Andrew P. Snow, and Preeti Rastogi, Evaluating Wireless Network Survivability Using Artificial Neural Networks, IEEE Transaction on Communications, submitted.
  
  
• Andrew Snow, Gary Weckman and Andrew Yachuan, Multi-Eposodic Dependability Metrics for Network Management, IEEE Transactions Dependable and Secure Computing, submitted.
  
  
• Weckman, G.R., Rangwala, M., Millie, D.F. (USF), Chandrasekhar V. Ganduri and W. Young II, Knowledge Extraction from the Black Box in Ecological Monitoring” submitted.
  
  
• William A Young II, Gary R. Weckman, Kaya "Learning Before Erring: The Influence Of Dielectric Materials To Pursue Moore's Law", submitted to International Journal of Industrial Engineering - Theory, Applications and Practice.
  
  
• William A Young II, Gary R. Weckman, "Extracting Knowledge From Carbon Dioxide Corrosion Inhibition With Artificial Neural Networks." submitted to International Journal of Industrial Engineering - Theory, Applications and Practice.
  
  Other Refereed Publications
  
  
• William A Young II, Gary R. Weckman, “Performance Aging Curves: Modeling the Effects of Aging through a Rating System”, Proceedings of IIE Annual Conference, 2008.
  
  
• William A Young II, Gary R. Weckman, “Treatment Methods for the Missing Value Problem: Benefits and Limitations”, Proceedings of IIE Annual Conference, 2008.
  
  
• G Weckman, A. Snow, Preeti Rastogi and M Rangwala, Assessing Wireless Network Dependability through Knowledge Extraction via Decision Trees, IARIA: ICONS 2008.
  
  
• William A Young II, Gary R. Weckman, Jon Marvel, “Generating Variable relationships by Optimization Techniques through Sensitivity Analysis from a Neural Network”, Proceedings of IIE Annual Conference, 2007.
  
  
• Jon Marvel, Mark A. Schaub and Gary Weckman, “Integrating Simulation into the Redesign of a Capacity Planning Process”, Proceedings of IIE Annual Conference, 2007.
  
  
• Maimuna Rangwala, Gary R. Weckman, Jon Marvel and William A Young II , “TREPAN-PLUS: An Extension of a Decision Tree Extraction Algorithm Utilizing Artificial Neural Networks”, Proceedings of the 2007 Artificial Neural Networks in Engineering Conference (ANNIE ’07), ASME, November 2007, St. Louis, Missouri.
  
  
• Andrew Snow and Gary Weckman, “What are the chances an availability SLA will be violated?” Proceedings of the Sixth International Conference on Networking (ICN’07), IEEE 10.11.09/ICN, April 2007, p.35-50.
  
  
• Snow, A.; Chatanyam, K.; Weckman, G.; Campbell, P “Power Related Network Outages: Impact, Triggering Events, And Root Causes”, 10th IEEE/IFIP Network Operations and Management Symposium (NOMS 2006), Vancouver CA, April 3-7, 2006, ISSN: 1542-1201.
  
  
• Akshata Bondal and Gary R. Weckman, “A Job Shop Scheduling Application Based on Artificial Immune Systems”, Proceedings of IIE Annual Conference 2006, May 20 – 24, 2006, Orlando, Florida.
  
  
• Maimuna Rangwala and Gary R. Weckman, “Extracting Rules from Artificial Neural Networks utilizing TREPAN”, Proceedings of IIE Annual Conference 2006, May 20 – 24, 2006, Orlando, Florida.
  
  
• Sriram Lakshminarayanan, Gary R. Weckman, Andy Snow, Jon Marvel, “Stock Market Hybrid Forecasting Model Using Neural Networks”, Proceedings of IIE Annual Conference 2006, May 20 – 24, 2006, Orlando, Florida.
  
  
• G.R. Weckman, D.F. Millie, V. Ghai and C. Ganduri, “A Comparison of Knowledge Extraction Techniques from an Artificial Neural Network in Ecological Monitoring”, Proceedings of the 2005 Artificial Neural Networks in Engineering Conference (ANNIE ’05), ASME, November 7-9, 2005, St. Louis, Missouri.
  
  
• Jon H. Marvel, Mark A. Schaub,Gary Weckman,"Validating The Capacity Planning Process And Flowline Product Sequencing Through Simulation Analysis", Proceedings of the 2005 Winter Simulation Conference, December 4-7, 2005, Orlando, FL.
  
  
• A. Snow, P. Rastogi, and G. Weckman, “Assessing dependability of wireless networks using neural networks”, IEEE Military Communication Conference MILCOM 2005, October 17-20, 2005, Atlantic City NJ, IEEE Catalog 05CH37719C.
  
  
• Weckman, Gary R., and Jon Marvel, “Forecasting Engine Removal Comparing Neural Network to a Hazard Model”, Proceedings of the IIE Annual Conference 2005, May 15-19, 2005, Atlanta, Georgia.
  
  
• G.R. Weckman, S. Lakshminarayanan, “Identifying effects of Low Sensitivity Indicators in a Stock Market Forecasting Model”, Proceedings of the 2004 Artificial Neural Networks in Engineering Conference (ANNIE ’04), ASME, November 8-10, 2004, St. Louis, Missouri.
  
  
• G.R. Weckman, C. Ganduri and D. Koonce, “Rule Driven Job-Shop Derived from Neural Networks”, Proceedings of the 2004 Artificial Neural Networks in Engineering Conference (ANNIE ’04), ASME, November 8-10, 2004, St. Louis, Missouri.
  
  
• Weckman, Gary R., and Sriram Lakshminarayanan, “Identifying Technical Indicators for Stock Market Prediction with Neural Networks”, Proceedings of the IIE Annual Conference 2004, May 15-19, 2004, Houston Texas.
  
  
• Whiting, Harry and Gary R. Weckman, “Reducing Cycle Time for a Restaurant Drive-Thru Simulation”, Proceedings of the IIE Annual Conference 2004, May 15-19, 2004, Houston Texas.
  
  
• William A Young II and Gary R. Weckman, “Output and Input Response Surfaces Generated From an Artificial Neural Network for an Empirical to Semi-Mechanistic Model: A Heuristic Approach”, Proceedings of the 2007 Artificial Neural Networks in Engineering Conference (ANNIE ’07), ASME, November 2007, St. Louis, Missouri.
  
  
• Gary R. Weckman, Sriram Lakshminarayanan, “Short-Term Stock Forecasting Based on a Neural Network Model Incorporating Fuzzy Logic and Fibonacci Ratios”, Proceedings of the 2003 Artificial Neural Networks in Engineering Conference (ANNIE ’03), ASME, November 3-5, 2003, St. Louis, Missouri.
  
  
• Weckman, Gary R., “A Conceptual Approach for Decision-Making in Reactive Scheduling”, Proceedings of the Group Technology/Cellular Manufacturing, World Symposium 2003, July 28-30, 2003, Columbus, Ohio.
  
  
• Weckman, Gary R., and Sriram Lakshminarayanan, “Predicting Stock Market Trends Utilizing a Wavelet Driven Artificial Neural Network”, Proceedings of the IIE Annual Conference 2003, May 17-21, 2003, Portland Oregon.
  
  
• Weckman, Gary R., and Ranjeet Agarwala, “Identifying Relative Contribution of Selected Technical Indicators in Stock Market Prediction”, Proceedings of the IIE Annual Conference 2003, May 17-21, 2003, Portland Oregon.
  
  
• Agarwala, Ranjeet, Gary R. Weckman and Robert McLauchlan, “Techniques to Optimize of Data Collection and Training Time for Forecasting Stock Market Trends Using Artificial Neural Network”, Proceedings of the 2002 Artificial Neural Networks in Engineering Conference (ANNIE ’02), ASME, November 2002, St. Louis, Missouri.
  
  
• Weckman, Gary R., Robert McLauchlan and Vinod Muniswamy, “Benchmarking Student Performance in Engineering:  A Potential Technique for Identifying Factors Affecting Student Enrollment and Retention In Engineering Programs“, ASEE GSW Conference, 2002.
  
  
• Weckman, Gary R. and Danish Siddiqui, “Selection of Engine Removal Data Using Sensitivity Analysis to predict Jet Engine Maintenance Removals with Neural Networks”, Proceedings of the 2001 Artificial Neural Networks in Engineering Conference (ANNIE ’01), ASME, November 2001, St. Louis, Missouri.
  
  
• Weckman, Gary R. and Robert McLauchlan, “Using Neural Networks to Predict Rainfall Patterns in South Texas”, Proceedings of the 2001 Artificial Neural Networks in Engineering Conference (ANNIE ’01), ASME, November 2001, St. Louis, Missouri.
  
  
• Weckman, Gary R., Robert McLauchlan and Jennifer Crosby, “An Assessment and Evaluation of an Integrated Engineering Curriculum”, Annual ASEE 2001 Conference, 24-27 June 2001, Albuquerque, New Mexico.
  
  
• Weckman, Gary R., Robert McLauchlan and Jennifer Crosby, “Web Page Design to Monitor Foundation Coalition and ABET2000 Outcomes”, 2001 ASEE GSW Conference, 28-31 March 2001, College Station, Texas.
  
  
• Weckman, Gary R., Robert A. McLauchlan and Vinod Muniswamy, “The Relevance of Assessment and Evaluation to Improving Student Retention in Engineering, 2000 Annual ASEE GSW Conference, June 2000, Albuquerque, New Mexico.
  
  
• Weckman, Gary R. and Robert A. McLauchlan, “Using Neural Networks to Forecast Jet Engine Removals for Restoration”, Proceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE ’99), ASME, v9, November 1999, St. Louis, Missouri, p 1189-1194.
  
  
• McLauchlan, Robert, Suresh Pallerla, Gary Weckman, and Vamsi Velagaleti, “Predicting Student Academic Success in the Engineering Curriculum at Texas A&M University–Kingsville Using Neural Networks”, ”, Proceedings of the 1999 Artificial Neural Networks in Engineering Conference (ANNIE ’99), ASME, v9, November 1999, St. Louis, Missouri, p 1183-1188. C.
  
  Non-Refereed Publications:
  
  
• Weckman, Gary R., “A Framework for Reactive Scheduling in a Cellular Manufacturing Environment”, Proceedings of the 2002 ICPR Americas ’02:  Production Research and Computational Intelligence for Designing and Operating Global Production Systems, November 2002, St. Louis, Missouri.
  
  
• Weckman, G.R., J.H. Marvel, and R.L. Shell, “Forecasting Maintenance Requirements in Aviation Utilizing a Time Series Approach”, Proceedings of the IIE Annual Conference 2001, May 20-23, 2001, Dallas, Texas.
  
  
• Marvel, Jon H. and Gary R. Weckman, “Utilizing Process Information to Dynamically Modify Kanban Sizes for Process Flow Control in a Manufacturing Assembly Cell”, 8th Annual International IERC (Industrial Engineering Research Conference) in May 1999.
  
  
• Weckman, Gary R., Richard L. Shell and Jon H. Marvel, “Modeling Jet Engine Life Distributions Based on Field Data”, 7th Annual International IERC (Industrial Engineering Research Conference) in May 1998.
  
  
• Marvel, Jon H., and Gary R. Weckman “Analyzing the Effects of Applying an Aggregate TAKT Time for Process Flow Control”, 7th Annual International IERC (Industrial Engineering Research Conference) in May 1998.
  
  
• "CFM56-3 Maintenance Cost" at the 1991 All Operator Conference in Paris, France with representatives from domestic and international airlines.  Represented General Electric Aircraft Engines.