Year |
Citation |
Score |
2019 |
Gani MO, Fayezeen T, Povinelli RJ, Smith RO, Arif M, Kattan AJ, Ahamed SI. A light weight smartphone based human activity recognition system with high accuracy Journal of Network and Computer Applications. 141: 59-72. DOI: 10.1016/J.Jnca.2019.05.001 |
0.366 |
|
2018 |
Merkel G, Povinelli RJ, Brown RH. Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression Energies. 11: 2008. DOI: 10.3390/En11082008 |
0.312 |
|
2017 |
Akouemo HN, Povinelli RJ. Data Improving in Time Series Using ARX and ANN Models Ieee Transactions On Power Systems. 32: 3352-3359. DOI: 10.1109/Tpwrs.2017.2656939 |
0.358 |
|
2016 |
Pradeep P, Povinelli RJ, White S, Merrill SJ. An ensemble model of QSAR tools for regulatory risk assessment. Journal of Cheminformatics. 8: 48. PMID 28316646 DOI: 10.1186/S13321-016-0164-0 |
0.335 |
|
2016 |
Akouemo HN, Povinelli RJ. Probabilistic anomaly detection in natural gas time series data International Journal of Forecasting. 32: 948-956. DOI: 10.1016/J.Ijforecast.2015.06.001 |
0.323 |
|
2015 |
Pradeep P, Povinelli RJ, Merrill SJ, Bozdag S, Sem DS. Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity Prediction. Molecular Informatics. 34: 236-45. PMID 27490169 DOI: 10.1002/Minf.201400168 |
0.324 |
|
2013 |
Da Silva AM, Povinelli RJ, Demerdash NAO. Rotor bar fault monitoring method based on analysis of air-gap torques of induction motors Ieee Transactions On Industrial Informatics. 9: 2274-2283. DOI: 10.1109/Tii.2013.2242084 |
0.307 |
|
2008 |
da Silva AM, Povinelli RJ, Demerdash NAO. Induction machine broken bar and stator short-circuit fault diagnostics based on three-phase stator current envelopes Ieee Transactions On Industrial Electronics. 55: 1310-1318. DOI: 10.1109/Tie.2007.909060 |
0.325 |
|
2008 |
Indrebo KM, Povinelli RJ, Johnson MT. Minimum mean-squared error estimation of mel-frequency cepstral coefficients using a novel distortion model Ieee Transactions On Audio, Speech and Language Processing. 16: 1654-1661. DOI: 10.1109/Tasl.2008.2002083 |
0.321 |
|
2006 |
Povinelli RJ, Johnson MT, Lindgren AC, Roberts FM, Ye J. Statistical models of reconstructed phase spaces for signal classification Ieee Transactions On Signal Processing. 54: 2178-2186. DOI: 10.1109/Tsp.2006.873479 |
0.38 |
|
2006 |
Mirafzal B, Povinelli RJ, Demerdash NAO. Interturn fault diagnosis in induction motors using the pendulous oscillation phenomenon Ieee Transactions On Energy Conversion. 21: 871-882. DOI: 10.1109/Tec.2005.853767 |
0.313 |
|
2006 |
Indrebo KM, Povinelli RJ, Johnson MT. Sub-banded reconstructed phase spaces for speech recognition Speech Communication. 48: 760-774. DOI: 10.1016/J.Specom.2004.12.002 |
0.35 |
|
2005 |
Johnson MT, Povinelli RJ, Lindgren AC, Ye J, Liu X, Indrebo KM. Time-domain isolated phoneme classification using reconstructed phase spaces Ieee Transactions On Speech and Audio Processing. 13: 458-465. DOI: 10.1109/Tsa.2005.848885 |
0.39 |
|
2005 |
Johnson MT, Povinelli RJ. Generalized phase space projection for nonlinear noise reduction Physica D: Nonlinear Phenomena. 201: 306-317. DOI: 10.1016/J.Physd.2005.01.011 |
0.309 |
|
2004 |
Povinelli RJ, Johnson MT, Lindgren AC, Ye J. Time series classification using Gaussian mixture models of reconstructed phase spaces Ieee Transactions On Knowledge and Data Engineering. 16: 779-783. DOI: 10.1109/Tkde.2004.17 |
0.411 |
|
2003 |
Povinelli RJ, Feng X. A new temporal pattern identification method for characterization and prediction of complex time series events Ieee Transactions On Knowledge and Data Engineering. 15: 339-352. DOI: 10.1109/Tkde.2003.1185838 |
0.333 |
|
2002 |
Povinelli RJ, Bangura JF, Demerdash NAO, Brown RH. Diagnostics of bar and end-ring connector breakage faults in polyphase induction motors through a novel dual track of time-series data mining and time-stepping coupled FE-state space modeling Ieee Transactions On Energy Conversion. 17: 39-46. DOI: 10.1109/Mper.2002.4311988 |
0.323 |
|
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