Frederick Livingston

Livingston, F., & Grant, E. (2022). A Design and Modeling Software Tool for Prototyping for Ultrasonic Transceivers. 2022 IEEE Sensors, 2022-October. https://doi.org/10.1109/sensors52175.2022.9967042

Aldridge, H., & Livingston, F. (2022). Rapid Development of Secure Robotic Platforms. Future Force Capabilities Conference and Exhibition. Presented at the Future Force Capabilities Conference and Exhibition, Austin, Texas.

Aldridge, H., & Livingston, F. (2021). Secure Rapid Prototyping for Unmanned Systems. NDIA Ground Vehicle Systems Engineering and Technology Symposium. Presented at the NDIA Ground Vehicle Systems Engineering and Technology Symposium, Novi, Michigan.

Grant, E., Livingston, F. J., Craver, M. D., Hegarty-Craver, M. S., Reid, L. G., & others. (2019, December). Binary encoding of sensors in textile structures.

Grant, E., Livingston, F., Craver, M., Hegarty-Craver, M., & McMaster, S. (2015). Characterizing conductive yarns for pressure sensors applications. 2015 IEEE SENSORS - Proceedings, 108–111. https://doi.org/10.1109/ICSENS.2015.7370189

Livingston, F. J. (2014). Technology for Improving the Quality of Life for Patients Suffering from Vascular Insufficiency (Doctor of Philosophy). North Carolina State University, Raleigh, NC.

Livingston, F., Grant, E., & Lee, G. (2010). Comparison of Learning on the Design of a KANSEI Robot Testbed for Understanding Human-Machine Interaction. International Conference on KANSEI Engineering and Emotion Research.

Livingston, F., Grant, E., & Lee, G. (2010). On the Design of a KANSEI Robot Testbed for Understanding Human Machine Interaction. International Conference on KANSEI Engineering and Emotion Research. Presented at the International Conference on KANSEI Engineering and Emotion Research, Paris, France.

Reid Jr, L. G., Grant, E., Hegarty, M. S., & Livingston, F. (2009, September). Compression Adjustable Fabric and Garments.

Reid Jr, L. G., Grant, E., Hegarty, M. S., & Livingston, F. (2009, September). Health Monitoring and Management System.

Livingston, F. J. (2006). Development of an Internet Addressable Pneumatically Controlled Instrument for Applying Stain the Cells In-Vitro (Dissertation). North Carolina State University, Raleigh, NC.

Livingston, F. J. (2006). Development of an Internet Addressable Pneumatically Controlled Instrument for Applying Strain to Cells In-Vitro.

Palmer, J. A., Jokiel, B., Nordquist, C. D., Kast, B. A., Atwood, C. J., Grant, E., … Wicker, R. B. (2006). Mesoscale RF relay enabled by integrated rapid manufacturing. RAPID PROTOTYPING JOURNAL, 12(3), 148–155. https://doi.org/10.1108/13552540610670726

Jeng, L., & Livingston, F. (2005). Bone Tissue Scaffold in PCL. Bone.

Livingston, F. (2005). Implementation of Breiman's Random Forest Machine Learning Algorithm ECE591Q Machine Learning Journal Paper. Retrieved Fall2005.

Livingston, F. (2005). Implementation of Breiman’s random forest machine learning algorithm. ECE591Q Machine Learning Journal Paper, 1–13.

Livingston, F. (2005). Implementing Breiman’s random forest algorithm into Weka. ECE591Q machine learning conference papers, 27, 1–5.

Palmer, J. A., Jokiel, B., Nordquist, C. D., Kast, B. A., Atwood, C. J., Wicker, R. B., … Livingston, F. J. (2004). Miniature RF components enabled by mesoscale rapid manufacturing. Sandia National Lab.(SNL-NM), Albuquerque, NM (United States).

Hegarty, M., Grant, E., Livingston, F., & Reid Jr, L. A Wearable Monitoring System for Continuously Assessing the Health of the Peripheral Vasculature.