| Machine learning applications in power system fault diagnosis: Research advancements and perspectives R Vaish, UD Dwivedi, S Tewari, SM Tripathi Engineering Applications of Artificial Intelligence 106, 104504, 2021 | 132 | 2021 |
| Enhanced detection of power-quality events using intra and interscale dependencies of wavelet coefficients UD Dwivedi, SN Singh IEEE Transactions on Power Delivery 25 (1), 358-366, 2009 | 84 | 2009 |
| Denoising techniques with change-point approach for wavelet-based power-quality monitoring UD Dwivedi, SN Singh IEEE transactions on power delivery 24 (3), 1719-1727, 2009 | 84 | 2009 |
| Ensemble-based big data analytics of lithofacies for automatic development of petroleum reservoirs S Tewari, UD Dwivedi Computers & Industrial Engineering 128, 937-947, 2019 | 78 | 2019 |
| A comparative study of heterogeneous ensemble methods for the identification of geological lithofacies S Tewari, UD Dwivedi Journal of Petroleum Exploration and Production Technology 10 (5), 1849-1868, 2020 | 63 | 2020 |
| A wavelet based approach for classification and location of faults in distribution systems UD Dwivedi, SN Singh, SC Srivastava 2008 Annual IEEE India Conference 2, 488-493, 2008 | 56 | 2008 |
| Wavelet based islanding detection of DC-AC inverter interfaced DG systems M Hanif, UD Dwivedi, M Basu, K Gaughan 45th International Universities Power Engineering Conference UPEC2010, 1-5, 2010 | 51 | 2010 |
| A wavelet-based denoising technique for improved monitoring and characterization of power quality disturbances UD Dwivedi, SN Singh Electric Power Components and Systems 37 (7), 753-769, 2009 | 30 | 2009 |
| Recent advancements in AI-enabled smart electronics packaging for structural health monitoring VB Sharma, S Tewari, S Biswas, B Lohani, UD Dwivedi, D Dwivedi, ... Metals 11 (10), 1537, 2021 | 28 | 2021 |
| Intelligent drilling of oil and gas wells using response surface methodology and artificial bee colony S Tewari, UD Dwivedi, S Biswas Sustainability 13 (4), 1664, 2021 | 23 | 2021 |
| A Novel Application of Ensemble Methods with Data Resampling Techniques for Drill Bit Selection in the Oil and Gas Industry S Tewari, U D Dwivedi, S Biswas Energies 14 (2), 432, 2021 | 21 | 2021 |
| Assessment of Big Data analytics based ensemble estimator module for the real-time prediction of reservoir recovery factor S Tewari, UD Dwivedi, M Shiblee SPE Middle East Oil and Gas Show and Conference, D041S038R003, 2019 | 21 | 2019 |
| Power quality monitoring and analysis: an overview and key issues UD Dwivedi, D Shakya, SN Singh International Journal of Systems Signal Control and Engineering Application …, 2008 | 21 | 2008 |
| A robust energy features estimation for detection and classification of power quality disturbances UD Dwivedi, SN Singh 2006 IEEE Power India Conference, 7 pp., 2006 | 21 | 2006 |
| Analysis of transient disturbances in distribution systems: A hybrid approach UD Dwivedi, SN Singh, SC Srivastava 2007 IEEE Power Engineering Society General Meeting, 1-8, 2007 | 16 | 2007 |
| A novel automatic detection and diagnosis module for quantitative lithofacies modeling S Tewari, UD Dwivedi Abu Dhabi International Petroleum Exhibition and Conference, D012S122R001, 2018 | 14 | 2018 |
| A Real-World Investigation of TwinSVM for the Classification of Petroleum Drilling Data S Tewari, UD Dwivedi 2019 IEEE Region 10 Symposium (TENSYMP), 90-95, 2019 | 8 | 2019 |
| An adaptive window-based denoising scheme to enhance power quality monitoring systems UD Dwivedi, SN Singh IET Digital Library, 2006 | 7 | 2006 |
| Power quality assessment using polynomial approximation technique UD Dwivedi, SN Singh International Conference on Power Systems Kathmandu, Nepal, 348-353, 2004 | 7 | 2004 |
| A Novel Neural Network Framework For The Prediction Of Drilling Rate Of Penetration UDD Saurabh Tewari APCEC 17 International Conference on Advances in Petroleum , Chemical …, 2017 | 6* | 2017 |
Dr. Saurabh TewariAIML Program Coordinator, G L A Universityبريد إلكتروني تم التحقق منه على gla.ac.in