Ward, T., Jenab, K., Ortega-Moody, J., "Adaptive imputation of irregular truncated signals with machine learning," Applied Sciences, 14:15, 6828, 2024.
Jenab, K., Ward, T., Isaza, C., Ortega-Moody, J., Anaya, K., "Ensemble machine learning for intelligent condition monitoring," International Journal of System Assurance Engineering and Management, 2024.
McKnight, T., Ward, T., Jenab, K., "Data-driven quality improvement for sustainability in automotive packaging," Applied Sciences, 14:13, 5723, 2024.
Ward, T., Jenab, K., Ortega-Moody, J., Staub, S., "A comprehensive review of machine learning techniques for condition-based maintenance," International Journal of Prognostics and Health Management, 15:2, 2024.
Ward, T., Jenab, K., Ortega-Moody, J., "Machine learning models for condition-based maintenance with regular truncated signals," Decision Science Letters, 13:1, 197-210, 2024.
Ward, T., Vanderpool, I., Jenab, K., Ortega-Moody, J., "Optimizing grasp quality of a robotic hand using machine learning," 2024 ATMAE Annual Conference, Las Vegas, NV, USA, pp. 49-60, 2024.
Ward, T., "Gender-based detection and tracking of child pedestrians using machine learning," 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET), Sydney, Australia, pp. 1-6, 2024.
Ward, T., "Areas of improvement for autonomous vehicles: A machine learning analysis of disengagement reports," 2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC), Chicago, IL, USA, pp. 1-6, 2024.
Jenab, K., Ward, T., Isaza, C., Ortega-Moody, J., Anaya, K., "Intelligence based condition monitoring model," 7th International Congress and Workshop on Industrial AI and eMaintenance 2023 (IAI2023), Luleå, Sweden, 2023.
Ward, T., Rashad, S., Elgazzar, H., "Machine learning based detection and tracking for autonomous vehicles," 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA, pp. 1294-129, 2023.
Taylor, A., Ward, T., Jenab, K., & Ortega-Moody, J. (2024) Spare Parts Analysis from Scrambled Data using Machine Learning. 2024 ATMAE Annual Conference, Las Vegas, NV, USA, 2024. [Accepted. Conference date: October 28-31, 2024].
Ward, T., Rashad, S., & Elgazzar, H. (2023). Machine learning based detection and tracking systems for autonomous vehicles. In 17th Annual Celebration of Student Scholarship. Morehead State University, Morehead, KY. [Received an Exceptional Merit Award for Oral Presentation]
Ward, T. & Jenab, K. (2023). Virtual reality STEM and workforce training platforms. In 2nd Annual Elmer Smith College of Business and Technology Research Seminar. Morehead State University, Morehead, KY. [Received a Certificate of Achievement]
Vanderpool, I., Gross, G., Uusikartano, O., Ward, T., Jenab, K., & Ortega-Moody, J., “Detecting the Level of Scrap Metal Discard from CNC Machines using Capacitive Sensors,” 19th Annual Celebration of Student Scholarship, Morehead State University, Morehead, KY, 2024.
Gross, G., Uusikartano, O., Vanderpool, I., Ward, T., Ortega-Moody, J., & Jenab, K. (2024) Development of Remote Monitoring Software for CNC Machines. 19th Annual Celebration of Student Scholarship, Morehead State University, Morehead, KY, 2024.
Uusikartano, O., Ward, T., Ortega-Moody, J., & Jenab, K. (2024) Implementation of a Flexible Simulated Manufacturing System. 19th Annual Celebration of Student Scholarship, Morehead State University, Morehead, KY, 2024.
Fitch, L., Ward, T., Jenab, K., & Ortega-Moody, J. (2024) Enabling Smart Agriculture with Computer Vision. 19th Annual Celebration of Student Scholarship, Morehead State University, Morehead, KY, 2024.
Fitch, L., Ward, T., Jenab, K., & Ortega-Moody, J. (2024) Enabling Smart Agriculture with Computer Vision. In 2024 - Posters-at-the-Capitol. Frankfort, KY. [Selected for Lighting Talk]
Ward, T., Jenab, K., & Ortega-Moody, J. (2024) Machine learning models for condition-based maintenance with regular truncated signals. In SuperCollider 2024. Lexington, KY. [Received Mark of Distinction]
Ward, T., Jenab, K., & Ortega-Moody, J. (2024) Intelligence based condition monitoring model. In SuperCollider 2024. Lexington, KY.
Ward, T., "Development of detection and tracking systems for autonomous vehicles using machine learning," Master’s Thesis, Morehead State University, Morehead, KY, USA, 2023.
T. Ward, K. Jenab, J. Ortega-Moody, & A. Ahmadi, “Machine Learning Models for Condition-Based Maintenance with Irregular Truncated Signals”, 2024. [In preparation].
K. Jenab, T. Ward, C. Isaza, J. Ortega-Moody, & K. Anaya, “Ensemble Machine Learning for Intelligent Condition Monitoring”, 2024. [Under review at the International Journal of System Assurance Engineering and Management].
T. Ward, M. Wheatley, K. Jenab, & J. Ortega-Moody, “Virtual Reality Platforms for K-12 STEM Education”, 2024. [Under review at Educational Technology Research and Development].