| Weighted dynamic time warping for time series classification YS Jeong, MK Jeong, OA Omitaomu Pattern recognition 44 (9), 2231-2240, 2011 | 475 | 2011 |
| Real-time simulation of power grid disruption SJ Fernandez, M Shankar, JJ Nutaro, Y Liu, AD Dimitrovski, ... US Patent App. 13/747,779, 2013 | 139 | 2013 |
| Methodology for estimating solar potential on multiple building rooftops for photovoltaic systems JB Kodysh, OA Omitaomu, BL Bhaduri, BS Neish Sustainable Cities and Society 8, 31-41, 2013 | 96 | 2013 |
| Adapting a GIS-based multicriteria decision analysis approach for evaluating new power generating sites OA Omitaomu, BR Blevins, WC Jochem, GT Mays, R Belles, SW Hadley, ... Applied Energy 96, 292-301, 2012 | 90 | 2012 |
| Empirical mode decomposition technique with conditional mutual information for denoising operational sensor data OA Omitaomu, VA Protopopescu, AR Ganguly IEEE sensors journal 11 (10), 2565-2575, 2011 | 62 | 2011 |
| Anomaly detection in transportation corridors using manifold embedding A Agovic, A Banerjee, AR Ganguly, V Protopopescu Knowledge Discovery from Sensor Data, 81-105, 2008 | 52 | 2008 |
| Knowledge discovery from sensor data AR Ganguly, J Gama, OA Omitaomu, M Gaber, RR Vatsavai CRC Press, 2008 | 46 | 2008 |
| Adaptive support vector regression analysis of closed-loop inspection accuracy Y Kwon, MK Jeong, OA Omitaomu International Journal of Machine Tools and Manufacture 46 (6), 603-610, 2006 | 38 | 2006 |
| Fuzzy present value analysis model for evaluating information system projects OA Omitaomu, A Badiru The Engineering Economist 52 (2), 157-178, 2007 | 36 | 2007 |
| Online support vector regression approach for the monitoring of motor shaft misalignment and feedwater flow rate OA Omitaomu, MK Jeong, AB Badiru, JW Hines IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2007 | 34 | 2007 |
| Application of spatial data modeling and geographical information systems (GIS) for identification of potential siting options for various electrical generation sources GT Mays, RJ Belles, BR Blevins, SW Hadley, TJ Harrison, WC Jochem, ... ORNL/TM-2011/157 1, 2012 | 33 | 2012 |
| A distributed decision framework for building clusters with different heterogeneity settings R Jafari-Marandi, M Hu, OFA Omitaomu Applied Energy 165, 393-404, 2016 | 28 | 2016 |
| Computational economic analysis for engineering and industry AB Badiru, OA Omitaomu CRC Press, 2007 | 28 | 2007 |
| Online support vector regression with varying parameters for time-dependent data OA Omitaomu, MK Jeong, AB Badiru IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2010 | 27 | 2010 |
| The impact of an urban growth boundary on land development in Knox County, Tennessee: a comparison of two-stage probit least squares and multilayer neural network models SH Cho, OA Omitaomu, NC Poudyal, DB Eastwood Journal of Agricultural and Applied Economics 39 (1379-2016-112648), 701-717, 2007 | 26 | 2007 |
| On-line prediction of motor shaft misalignment using fast fourier transform generated spectra data and support vector regression OA Omitaomu, MK Jeong, AB Badiru, JW Hines | 22 | 2006 |
| Data mining approaches for modeling complex electronic circuit design activities Y Kwon, OA Omitaomu, GN Wang Computers & Industrial Engineering 54 (2), 229-241, 2008 | 20 | 2008 |
| Visualization and classification of power system frequency data streams JN Bank, OA Omitaomu, SJ Fernandez, Y Liu 2009 IEEE International Conference on Data Mining Workshops, 650-655, 2009 | 19 | 2009 |
| Large-scale solar panel mapping from aerial images using deep convolutional networks J Yuan, HHL Yang, OA Omitaomu, BL Bhaduri 2016 IEEE International Conference on Big Data (Big Data), 2703-2708, 2016 | 18 | 2016 |
| Knowledge discovery from data streams J Gama, A Ganguly, O Omitaomu, R Vatsavai, M Gaber Intelligent Data Analysis 13 (3), 403-404, 2009 | 17 | 2009 |
Auroop GangulyProfessor, Northeastern University, Boston, MAVerified email at neu.edu
