| Characterizing and quantifying noise in PMU data M Brown, M Biswal, S Brahma, SJ Ranade, H Cao 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 282 | 2016 |
| Detection and characterization of multiple power quality disturbances with a fast S-transform and decision tree based classifier M Biswal, PK Dash Digital Signal Processing 23 (4), 1071-1083, 2013 | 185 | 2013 |
| Measurement and Classification of Simultaneous Power Signal Patterns With an S-Transform Variant and Fuzzy Decision Tree M Biswal, PK Dash IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 9 (4), 1819-1827, 2013 | 164 | 2013 |
| Automatic classification of power quality events using balanced neural tree B Biswal, M Biswal, S Mishra, R Jalaja IEEE transactions on industrial electronics 61 (1), 521-530, 2013 | 162 | 2013 |
| Supervisory protection and automated event diagnosis using PMU data M Biswal, SM Brahma, H Cao IEEE Transactions on power delivery 31 (4), 1855-1863, 2016 | 154 | 2016 |
| Efficient compression of PMU data in WAMS PH Gadde, M Biswal, S Brahma, H Cao IEEE Transactions on Smart Grid 7 (5), 2406-2413, 2016 | 104 | 2016 |
| Signal features for classification of power system disturbances using PMU data M Biswal, Y Hao, P Chen, S Brahma, H Cao, P De Leon 2016 Power Systems Computation Conference (PSCC), 1-7, 2016 | 60 | 2016 |
| Power quality event characterization using support vector machine and optimization using advanced immune algorithm B Biswal, MK Biswal, PK Dash, S Mishra Neurocomputing 103, 75-86, 2013 | 51 | 2013 |
| Estimation of time-varying power quality indices with an adaptive window-based fast generalised S-transform M Biswal, PK Dash IET Science, Measurement & Technology 6 (4), 189-197, 2012 | 51 | 2012 |
| Nonstationary power signal time series data classification using LVQ classifier B Biswal, M Biswal, S Hasan, PK Dash Applied Soft Computing 18, 158-166, 2014 | 40 | 2014 |
| Estimation of time varying signal parameters using an improved Adaline learning algorithm S Nanda, M Biswal, PK Dash AEU-International Journal of Electronics and Communications 68 (2), 115-129, 2014 | 25 | 2014 |
| icens: An information-centric smart grid network architecture R Tourani, S Misra, T Mick, S Brahma, M Biswal, D Ameme 2016 IEEE International Conference on Smart Grid Communications …, 2016 | 24 | 2016 |
| Time–frequency decomposition of click evoked otoacoustic emissions in children SK Mishra, M Biswal Hearing Research 335, 161-178, 2016 | 16 | 2016 |
| Evaluation of culinary banana genotypes. MK Biswal, PC Lenka, DK Dash | 15 | 2004 |
| Comparison of time-frequency methods for analyzing stimulus frequency otoacoustic emissions M Biswal, SK Mishra The Journal of the Acoustical Society of America 143 (2), 626-639, 2018 | 14 | 2018 |
| Detection of fault using local measurements at inverter interfaced distributed energy resources T Alexopoulos, M Biswal, SM Brahma, M El Khatib 2017 IEEE Manchester PowerTech, 1-6, 2017 | 12 | 2017 |
| Protection of Renewable-dominated Microgrids: Challenges and Potential Solutions. M Elkhatib, A Ellis, M Biswal, S Brahma, S Ranade Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2016 | 12 | 2016 |
| Time frequency analysis and FPGA implementation of modified S-transform for de-noising B Biswal, PK Dash, M Biswal Int. J. Signal Process. Image Process. Pattern Recognit 4 (2), 119-135, 2011 | 9 | 2011 |
| Ami-fml: A privacy-preserving federated machine learning framework for ami M Biswal, ASM Tayeen, S Misra arXiv preprint arXiv:2109.05666, 2021 | 8 | 2021 |
| Proof of X: Experimental insights on blockchain consensus algorithms in energy markets T Machacek, M Biswal, S Misra 2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021 | 8 | 2021 |
Prof. PK DashSiksha O Anusandhan University在 soauniversity.ac.in 的电子邮件经过验证
