| Compressive sensing based machine learning strategy for characterizing the flow around a cylinder with limited pressure measurements I Bright, G Lin, JN Kutz Physics of Fluids 25 (12), 2013 | 166 | 2013 |
| Machine learning approaches for high-resolution urban land cover classification: a comparative study RR Vatsavai, E Bright, C Varun, B Budhendra, A Cheriyadat, J Grasser Proceedings of the 2nd international conference on computing for geospatial …, 2011 | 43 | 2011 |
| Evaluation of E. coli in sediment for assessing irrigation water quality using machine learning EG Tousi, JG Duan, PM Gundy, KR Bright, CP Gerba Science of the Total Environment 799, 149286, 2021 | 26 | 2021 |
| Applications of the Kalman filter to chemical sensors for downstream machine learning M Weiss, MS Wiederoder, RC Paffenroth, EC Nallon, CJ Bright, ... IEEE Sensors Journal 18 (13), 5455-5463, 2018 | 23 | 2018 |
| Machine learning-based prediction of MRI-induced power absorption in the tissue in patients with simplified deep brain stimulation lead models J Vu, BT Nguyen, B Bhusal, J Baraboo, J Rosenow, U Bagci, MG Bright, ... IEEE Transactions on Electromagnetic Compatibility 63 (5), 1757-1766, 2021 | 19 | 2021 |
