Chua, Yang Kang, Coble, Daniel, Razmarashooli, Arman, Paul, Steve, Martinez, Daniel_A Salazar, Hu, Chao, Downey, Austin RJ, and Laflamme, Simon. Probabilistic machine learning pipeline using topological descriptors for real-time state estimation of high-rate dynamic systems. Retrieved from https://par.nsf.gov/biblio/10568290. Mechanical Systems and Signal Processing 227.C Web. doi:10.1016/j.ymssp.2025.112319.

Chua, Yang Kang, Coble, Daniel, Razmarashooli, Arman, Paul, Steve, Martinez, Daniel_A Salazar, Hu, Chao, Downey, Austin RJ, & Laflamme, Simon. Probabilistic machine learning pipeline using topological descriptors for real-time state estimation of high-rate dynamic systems. Mechanical Systems and Signal Processing, 227 (C). Retrieved from https://par.nsf.gov/biblio/10568290. https://doi.org/10.1016/j.ymssp.2025.112319

Chua, Yang Kang, Coble, Daniel, Razmarashooli, Arman, Paul, Steve, Martinez, Daniel_A Salazar, Hu, Chao, Downey, Austin RJ, and Laflamme, Simon. "Probabilistic machine learning pipeline using topological descriptors for real-time state estimation of high-rate dynamic systems". Mechanical Systems and Signal Processing 227 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.ymssp.2025.112319. https://par.nsf.gov/biblio/10568290.

@article{osti_10568290,
place = {Country unknown/Code not available}, title = {Probabilistic machine learning pipeline using topological descriptors for real-time state estimation of high-rate dynamic systems}, url = {https://par.nsf.gov/biblio/10568290}, DOI = {10.1016/j.ymssp.2025.112319}, abstractNote = {}, journal = {Mechanical Systems and Signal Processing}, volume = {227}, number = {C}, publisher = {Elsevier}, author = {Chua, Yang Kang and Coble, Daniel and Razmarashooli, Arman and Paul, Steve and Martinez, Daniel_A Salazar and Hu, Chao and Downey, Austin RJ and Laflamme, Simon}, }