| A cost-sensitive convolution neural network learning for control chart pattern recognition D Fuqua, T Razzaghi Expert Systems with Applications 150, 113275, 2020 | 80 | 2020 |
| Commodity demand forecasting using modulated rank reduction for humanitarian logistics planning D Fuqua, S Hespeler Expert Systems with Applications 206, 117753, 2022 | 8 | 2022 |
| Spectrum-No Belts Required: The Advantages and Limitations of Statistical Quality Control DO Fuqua Army Logistician 41 (4), 54, 2009 | 5 | 2009 |
| Online rnn model for soc prediction in next generation hybrid car batteries S Hespeler, D Fuqua IIE Annual Conference. Proceedings, 97-102, 2020 | 3 | 2020 |
| Understanding the Role of Chaos Theory in Military Decision Making DO Fuqua, ... Monograph, School of Advanced Military Studies, Fort Leavenworth, KS: US …, 2009 | 2 | 2009 |
| Radio Frequency Micro-Electromechanical System (RF-MEMS) Enabled Joint In-Transit Visibility (JTAV) and Logistics Optimization MDO Fuqua Research Report. Maxwell AFB, AL: Air Command and Staff College, 2008 | 2 | 2008 |
| Online State of Charge Prediction in Next Generation Vehicle Batteries Using Deep Recurrent Neural Networks and Continuous Model Size Control S Hespeler, D Fuqua Journal of Energy and Power Technology 3 (1), 1-24, 2021 | 1 | 2021 |
| Case Study: The Strategy, Implementation, and Financial Performance of the Bank of North Dakota MU Farooq, F Arslan, D Fuqua, V Pimentel Mountain Plains Journal of Business and Technology 25 (1), 41, 2024 | | 2024 |
| Correcting misinterpretations on the distribution of feasible solution lengths in the traveling salesman problem JL Shaw, D Fuqua, H Sohn, MIR Borbón, V Pimentel DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia …, 2024 | | 2024 |
| Shelf-life Assessment on European Cucumber Based on Accelerated Temperature–Humidity Stresses MI Rodriguez Borbon, H Sohn, E Delgado, DO Fuqua, ... Applied Sciences 13 (4), 2663, 2023 | | 2023 |
| 2019's supply chain'black swan': resilience model under a low-frequency, high-impact and global disruption S Rudsari, D Fuqua, V Pimentel, B Brewer, PW Witt International Journal of Logistics Economics and Globalisation 10 (3), 237-258, 2023 | | 2023 |
| 2019'S Supply Chain 'Black Swan': Resilience Model under a Low-Frequency, High-Impact and Global Disruption F Rudsari, Saba, Donovan, V Pimentel, B Brewer, P Witt International Journal of Logistics Economics and Globalization 10 (3), 2023 | | 2023 |
| Introduction of an arc rank order statistic for analysis of optimal solutions in traveling salesman problems Shaw, Jerry, D Fuqua, H Sohn, MI Borbon Rodriguez International Journal of Mathematics in Operational Research, 2023 | | 2023 |
| Resilience and Recovery: Understanding the Underlying Drivers of Long-term Instability in Food Supply Chains S Rudsari, D Fuqua, V Pimentel, B Brewer Journal of Food Distribution Research 54 (2), 76-104, 2023 | | 2023 |
| Online State of Charge Prediction in Next Generation Hybrid Vehicle Batteries Using Deep Recurrent Neural Networks and Continuous Model Size Control SC Hespeler New Mexico State University, 2020 | | 2020 |
| Supervised Deep Neural Networks with Applications in Humanitarian Supply Chain Management and Manufacturing DO Fuqua New Mexico State University, 2019 | | 2019 |
| Army Logistician. Volume 41, Issue 4, July-August 2009 ARMY LOGISTICS MANAGEMENT COLL FORT LEE VA | | 2009 |
Steven HespelerPostdoctoral Research AssociateVerified email at ornl.gov
