Identifications and classifications of human locomotion using Rayleigh enhanced distributed fiber acoustic sensors with deep neural networks
Peng. Z., Jian, J., Wen, H., Gribok, A., Wang, M., Liu, H., [...]
Spatially resolved fibre cavity ring down spectroscopy
Chen, R., Peng, Z., Wang, M., Yan, A., Li ,S., Huang, S., [...]
An Analysis of Abandoned Oil Well Characteristics Affecting Methane Emissions Estimates in the Cherokee Platform in Eastern Oklahoma
Saint Vincent, P.M., Reeder, M., Sams, J., & Pekney, N. (2020). An [...]
Distributed Fiber Sensor and Machine Learning Data Analytics for Pipeline Protection against Extrinsic Intrusions and Intrinsic Corrosions
Peng, Z., Jian, J., Wen, H., Gribok, A., Wang, M., Liu, H., [...]
Metal-organic framework functionalized polymer coating for fiber optical methane sensors
Cao, R., Ding, H., Kim, K.J., Peng, Z., Wu, J., Culp, J.T., [...]
Geochemistry and Microbiology Predict Environmental Niches with Conditions Favoring Potential Microbial Activity in the Bakken Shale
Tinker, K., Gardiner, J., Lipus, D., Sarkar, P., Stuckman, M., & Gulliver, [...]
Corrosion protection of steel pipelines with metal-polymer composite barrier liners
Hsieh, P., Ali, M.M., & Magee, J.C. (2020). Corrosion protection of steel [...]
Identifying Abandoned Well Sites Using Database Records and Aeromagnetic Surveys
Saint Vincent, P.M., Sams, J., Hammack, R., Veloski, G., & Pekney, N. [...]
Measurement of Fatigue and Static Crack Growth Rate of X65 Line Pipe Steel in 3.5% NaCl containing CO2 under Cathodic Polarization
Tylczak, J. (2020). Measurement of Fatigue and Static Crack Growth Rate of [...]
Machine-learning enabled evaluation of probability of piping degradation in secondary systems of nuclear power plants
Wang, Q., A. V. Gribok, & Chen, K.P. (2020). Machine-learning enabled evaluation [...]