| Accurate whole human genome sequencing using reversible terminator chemistry DR Bentley, S Balasubramanian, HP Swerdlow, GP Smith, J Milton, ... nature 456 (7218), 53-59, 2008 | 5185 | 2008 |
| Analysis of algorithms for velocity estimation from discrete position versus time data RH Brown, SC Schneider, MG Mulligan IEEE Transactions on industrial electronics 39 (1), 11-19, 1992 | 339 | 1992 |
| L., Durbin J., Evans, M.,(1975),“Techniques for testing the Constancy of Regression Relationships over Time” R Brown Journal of the Royal statistical Society, B 37, 149-192, 0 | 164 | |
| Diagnostics of eccentricities and bar/end-ring connector breakages in polyphase induction motors through a combination of time-series data mining and time-stepping coupled FE … JF Bangura, RJ Povinelli, NAO Demerdash, RH Brown IEEE Transactions on Industry Applications 39 (4), 1005-1013, 2003 | 111 | 2003 |
| Short-term load forecasting of natural gas with deep neural network regression GD Merkel, RJ Povinelli, RH Brown Energies 11 (8), 2008, 2018 | 103 | 2018 |
| 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 … RJ Povinelli, JF Bangura, NAO Demerdash, RH Brown IEEE Transactions on energy Conversion 17 (1), 39-46, 2002 | 91 | 2002 |
| Membrane surface charge: discrete and uniform modelling RH Brown Jr Progress in Biophysics and Molecular Biology 28, 341-370, 1974 | 83 | 1974 |
| Development of artificial neural network models to predict daily gas consumption RH Brown, I Matin Proceedings of IECON'95-21st Annual Conference on IEEE Industrial …, 1995 | 82 | 1995 |
| Tests of serial independence based on the cumulated periodogram J Durbin, R Brown Bulletin of the International Statistical Institute 42, 1039-1048, 1967 | 79 | 1967 |
| Mathematical models for natural gas forecasting S Vitullo, RH Brown, GF Corliss, BM Marx Canadian applied mathematics quarterly, 2009 | 71 | 2009 |
| Visual sensitivity to differences in velocity. RH Brown Psychological Bulletin 58 (2), 89, 1961 | 62 | 1961 |
| On algorithms for velocity estimation using discrete position encoders PS Carpenter, RH Brown, JA Heinen, SC Schneider Proceedings of IECON'95-21st Annual Conference on IEEE Industrial …, 1995 | 53 | 1995 |
| Displacement of activator thresholds in cardiac muscle by protons and calcium ions. RH Brown Jr, D Noble The Journal of Physiology 282 (1), 333-343, 1978 | 53 | 1978 |
| The interactions of protons, calcium and potassium ions on cardiac Purkinje fibres. RH Brown Jr, I Cohen, D Noble The Journal of Physiology 282 (1), 345-352, 1978 | 47 | 1978 |
| Development of feed-forward network models to predict gas consumption RH Brown, P Kharouf, X Feng, LP Piessens, D Nestor Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN …, 1994 | 42 | 1994 |
| Velocity observations from discrete position encoders RH Brown, SC Schneider Signal Acquisition and Processing 858, 1111-1118, 1987 | 40 | 1987 |
| MONAI: an open-source framework for deep learning in healthcare (2022) MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2023 | 34 | 2023 |
| Robust stability of singularly perturbed state feedback systems using unified approach H Singh, RH Brown, DS Naidu, JA Heinen IEE Proceedings-Control Theory and Applications 148 (5), 391-396, 2001 | 33 | 2001 |
| Detrending daily natural gas consumption series to improve short-term forecasts RH Brown, SR Vitullo, GF Corliss, M Adya, PE Kaefer, RJ Povinelli 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 30 | 2015 |
| MONAI: An open-source framework for deep learning in healthcare. arXiv 2022 MJ Cardoso, W Li, R Brown, N Ma, E Kerfoot, Y Wang, B Murrey, ... arXiv preprint arXiv:2211.02701, 2023 | 28 | 2023 |
