Monica Nogueira

Greis, N. P., Nogueira, M. L., Bhattacharya, S., Spooner, C., & Schmitz, T. (2022). Stability modeling for chatter avoidance in self-aware machining: an application of physics-guided machine learning. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-022-01999-w

Greis, N. P., Nogueira, M. L., & Rohde, W. (2021). Digital Twin Framework for Machine Learning-Enabled Integrated Production and Logistics Processes. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, APMS 2021, PT I, Vol. 630, pp. 218–227. https://doi.org/10.1007/978-3-030-85874-2_23

Sizemore, N. E., Nogueira, M. L., Greis, N. P., & Davies, M. A. (2020). Application of Machine Learning to the Prediction of Surface Roughness in Diamond Machining. Procedia Manufacturing, 48, 1029–1040. https://doi.org/10.1016/j.promfg.2020.05.142

Greis, N. P., Nogueira, M. L., Bhattacharya, S., & Schmitz, T. (2020). Physics-Guided Machine Learning for Self-Aware Machining. 2020 AAAI Spring Symposium Series on Artificial Intelligence in Manufacturing. Retrieved from https://aiinmanufacturing.wixsite.com/symposium/physics-guided-machine-learning-for

Greis, N. P., Nogueira, M. L., Schmitz, T., & Dillon, M. (2019). MANUFACTURING-UBER: Intelligent Operator Assignment in a Connected Factory. IFAC PAPERSONLINE, Vol. 52, pp. 2734–2739. https://doi.org/10.1016/j.ifacol.2019.11.621

Sizemore, N. E., Nogueira, M. L., Greis, N. P., Schmitz, T. L., & Davies, M. A. (2019). Machine Learning Model for Surface Finish in Ultra-Precision Diamond Turning. In T. D. Hedberg & M. G. Carlisle (Eds.), Proceedings of the 10th model-based enterprise summit (MBE 2019) (pp. 131–139). https://doi.org/10.6028/nist.ams.100-24

Greis, N. P., & Nogueira, M. L. (2017). A Data-Driven Approach to Food Safety Surveillance and Response. In S. Kennedy (Ed.), Food Protection and Security (pp. 75–99). https://doi.org/10.1016/b978-1-78242-251-8.00005-9

Nogueira, M. L., & Greis, N. P. (2013). An Answer Set Programming Solution for Supply Chain Traceability. In A. Fred, J. L. G. Dietz, K. Liu, & J. Filipe (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management (pp. 211–227). https://doi.org/10.1007/978-3-642-54105-6_14

Nogueira, M. L., & Greis, N. P. (2013). Supply Chain Tracing of Multiple Products under Uncertainty and Incomplete Information - An Application of Answer Set Programming. Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 399–406. https://doi.org/10.5220/0004627603990406

Nogueira, M. L., & Greis, N. P. (2012). Recall-driven Product Tracing and Supply Chain Tracking using Answer Set Programming. Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 125–133. https://doi.org/10.5220/0004146201250133

Nogueira, M. L., & Greis, N. P. (2011). Application of Answer Set Programming for Public Health Data Integration and Analysis. In A. M. Tjoa, G. Quirchmayr, I. You, & L. Xu (Eds.), Availability, Reliability and Security for Business, Enterprise and Health Information Systems (pp. 118–134). https://doi.org/10.1007/978-3-642-23300-5_10

Nogueira, M. L., & Greis, N. P. (2011). Rule-Based Complex Event Processing for Food Safety and Public Health. In N. Bassiliades, G. Governatori, & A. Paschke (Eds.), Rule-Based Reasoning, Programming, and Applications (pp. 376–383). https://doi.org/10.1007/978-3-642-22546-8_31

Greis, N. P., & Nogueira, M. L. (2010). Food Safety—Emerging Public-Private Approaches: A Perspective for Local, State, and Federal Government Leaders. In IBM Center for The Business of Government (pp. 6–43). Retrieved from http://www.businessofgovernment.org/sites/default/files/Food%20Safety.pdf

Balduccini, M., Gelfond, M., & Nogueira, M. (2006). Answer set based design of knowledge systems. Annals of Mathematics and Artificial Intelligence, 47(1), 183–219. https://doi.org/10.1007/s10472-006-9026-1

Nogueira, M., Balduccini, M., Gelfond, M., Watson, R., & Barry, M. (2001). An A-Prolog Decision Support System for the Space Shuttle. In Practical Aspects of Declarative Languages (pp. 169–183). https://doi.org/10.1007/3-540-45241-9_12

Balduccini, M., Gelfond, M., Watson, R., & Nogueira, M. (2001). The USA-Advisor: A Case Study in Answer Set Planning. In Logic Programming and Nonmotonic Reasoning (pp. 439–442). https://doi.org/10.1007/3-540-45402-0_39

Nogueira, M., & Nandigam, A. (1998). Why Intervals? Because If We Allow Other Sets, Tractable Problems Become Intractable. Reliable Computing, 4(4), 389–394. https://doi.org/10.1023/a:1024475901686