Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression von Merkel, Gregory, Povinelli, Richard, Brown, Ronald

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Data Improving in Time Series Using ARX and ANN Models von Akouemo, Hermine N., Povinelli, Richard J.

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Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks von Milali, Masabho P, Sikulu-Lord, Maggy T, Kiware, Samson S, Dowell, Floyd E, Corliss, George F, Povinelli, Richard J

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Probabilistic anomaly detection in natural gas time series data von Akouemo, Hermine N., Povinelli, Richard J.

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Image-Based Multi-Target Tracking through Multi-Bernoulli Filtering with Interactive Likelihoods von Hoak, Anthony, Medeiros, Henry, Povinelli, Richard J

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Cross-Temporal Hierarchical Forecast Reconciliation of Natural Gas Demand von Quinn, Colin O., Corliss, George F., Povinelli, Richard J.

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An autoencoder and artificial neural network-based method to estimate parity status of wild mosquitoes from near-infrared spectra von Milali, Masabho P, Kiware, Samson S, Govella, Nicodem J, Okumu, Fredros, Bansal, Naveen, Bozdag, Serdar, Charlwood, Jacques D, Maia, Marta F, Ogoma, Sheila B, Dowell, Floyd E, Corliss, George F, Sikulu-Lord, Maggy T, Povinelli, Richard J, Zhang, Jie

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Do NIR spectra collected from laboratory-reared mosquitoes differ from those collected from wild mosquitoes? von Milali, Masabho P, Sikulu-Lord, Maggy T, Kiware, Samson S, Dowell, Floyd E, Povinelli, Richard J, Corliss, George F

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Using Smart Meters to Learn Water Customer Behavior von Malinowski, Michele R. B., Povinelli, Richard J.

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Overview of BioCreative II gene mention recognition von Smith, Larry, Tanabe, Lorraine K, Ando, Rie Johnson nee, Kuo, Cheng-Ju, Chung, I-Fang, Hsu, Chun-Nan, Lin, Yu-Shi, Klinger, Roman, Friedrich, Christoph M, Ganchev, Kuzman, Torii, Manabu, Liu, Hongfang, Haddow, Barry, Struble, Craig A, Povinelli, Richard J, Vlachos, Andreas, Baumgartner, Jr, William A, Hunter, Lawrence, Carpenter, Bob, Tsai, Richard Tzong-Han, Dai, Hong-Jie, Liu, Feng, Chen, Yifei, Sun, Chengjie, Katrenko, Sophia, Adriaans, Pieter, Blaschke, Christian, Torres, Rafael, Neves, Mariana, Nakov, Preslav, Divoli, Anna, Maña-López, Manuel, Mata, Jacinto, Wilbur, W John

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An ensemble model of QSAR tools for regulatory risk assessment von Pradeep, Prachi, Povinelli, Richard J., White, Shannon, Merrill, Stephen J.

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A Surrogate Weather Generator for Estimating Natural Gas Design Day Conditions von Kaftan, David, Corliss, George F., Povinelli, Richard J., Brown, Ronald H.

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Statistical models of reconstructed phase spaces for signal classification von Povinelli, R.J., Johnson, M.T., Lindgren, A.C., Roberts, F.M., Jinjin Ye

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Novel Uses of In Vitro Data to Develop Quantitative Biological Activity Relationship Models for in Vivo Carcinogenicity Prediction von Pradeep, Prachi, Povinelli, Richard J., Merrill, Stephen J., Bozdag, Serdar, Sem, Daniel S.

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Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model von Indrebo, K.M., Povinelli, R.J., Johnson, M.T.

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Generalized phase space projection for nonlinear noise reduction von Johnson, Michael T., Povinelli, Richard J.

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Interturn Fault Diagnosis in Induction Motors Using the Pendulous Oscillation Phenomenon von Mirafzal, B., Povinelli, R.J., Demerdash, N.A.O.

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Synergistic Use of Compound Properties and Docking Scores in Neural Network Modeling of CYP2D6 Binding:  Predicting Affinity and Conformational Sampling von Bazeley, Peter S, Prithivi, Sridevi, Struble, Craig A, Povinelli, Richard J, Sem, Daniel S

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Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes von da Silva, A.M., Povinelli, R.J., Demerdash, N.A.O.

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A Dynamical Systems Approach to Predicting Patient Outcome After Cardiac Arrest von Povinelli, Richard J, Dupont, Mathew

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