Satish Bukkapatnam

Affiliations: 
Industrial Engineering & Management Oklahoma State University, Stillwater, OK, United States 
Area:
Industrial Engineering, Management Business Administration, Mechanical Engineering
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"Satish Bukkapatnam"
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Publications

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Le TQ, Chandra V, Afrin K, et al. (2020) A Dynamic Systems Approach for Detecting and Localizing of Infarct-Related Artery in Acute Myocardial Infarction Using Compressed Paper-Based Electrocardiogram (ECG). Sensors (Basel, Switzerland). 20
Jin S, Iquebal A, Bukkapatnam S, et al. (2020) A Gaussian Process Model-Guided Surface Polishing Process in Additive Manufacturing Journal of Manufacturing Science and Engineering-Transactions of the Asme. 142
Iquebal AS, Pandagare S, Bukkapatnam S. (2020) Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization Tribology International. 143: 106074
Iquebal AS, Botcha B, Bukkapatnam S. (2020) Towards rapid, in situ characterization for materials-on-demand manufacturing Manufacturing Letters. 23: 29-33
McAtee PD, Bukkapatnam STS, Lakhtakia A. (2019) Artificial neural network to estimate the refractive index of a liquid infiltrating a chiral sculptured thin film Journal of Nanophotonics. 13: 1
Le TQ, Bukkapatnam STS. (2017) Correction: Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets. Plos One. 12: e0183422
Liu JP, Beyca OF, Rao PK, et al. (2017) Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization Ieee Transactions On Automation Science and Engineering. 14: 208-221
Iquebal AS, Amri SE, Shrestha S, et al. (2017) Longitudinal Milling and Fine Abrasive Finishing Operations to Improve Surface Integrity of Metal AM Components Procedia Manufacturing. 10: 990-996
Le TQ, Bukkapatnam ST. (2016) Nonlinear Dynamics Forecasting of Obstructive Sleep Apnea Onsets. Plos One. 11: e0164406
Beyca OF, Rao PK, Kong Z, et al. (2016) Heterogeneous Sensor Data Fusion Approach for Real-time Monitoring in Ultraprecision Machining (UPM) Process Using Non-Parametric Bayesian Clustering and Evidence Theory Ieee Transactions On Automation Science and Engineering. 13: 1033-1044
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