| QCAPro-an error-power estimation tool for QCA circuit design S Srivastava, A Asthana, S Bhanja, S Sarkar 2011 IEEE international symposium of circuits and systems (ISCAS), 2377-2380, 2011 | 362 | 2011 |
| Analyzing stock market movements using twitter sentiment analysis T Rao, S Srivastava University of Lincoln, 2012 | 287 | 2012 |
| Estimation of upper bound of power dissipation in QCA circuits S Srivastava, S Sarkar, S Bhanja IEEE transactions on nanotechnology 8 (1), 116-127, 2008 | 244 | 2008 |
| Are QCA cryptographic circuits resistant to power analysis attack? W Liu, S Srivastava, L Lu, M O'Neill, EE Swartzlander IEEE transactions on nanotechnology 11 (6), 1239-1251, 2012 | 127 | 2012 |
| Twitter sentiment analysis: How to hedge your bets in the stock markets T Rao, S Srivastava State of the art applications of social network analysis, 227-247, 2014 | 98 | 2014 |
| Modeling movements in oil, gold, forex and market indices using search volume index and twitter sentiments T Rao, S Srivastava Proceedings of the 5th annual ACM Web science conference, 336-345, 2013 | 89 | 2013 |
| Hierarchical probabilistic macromodeling for QCA circuits S Srivastava, S Bhanja IEEE Transactions on Computers 56 (2), 174-190, 2007 | 60 | 2007 |
| Roller element bearing acoustic fault detection using smartphone and consumer microphones comparing with vibration techniques J Grebenik, Y Zhang, C Bingham, S Srivastava 2016 17th International Conference on Mechatronics-Mechatronika (ME), 1-7, 2016 | 53 | 2016 |
| An extensive review of laboratory scaled experimental setups for studying drill string vibrations and the way forward S Srivastava, C Teodoriu Journal of petroleum Science and Engineering 182, 106272, 2019 | 52 | 2019 |
| A review on geothermal energy and HPHT packers for geothermal applications K Abid, A Sharma, S Ahmed, S Srivastava, A Toledo Velazco, C Teodoriu Energies 15 (19), 7357, 2022 | 36 | 2022 |
| Localisation of drone controllers from RF signals using a deep learning approach D Shorten, A Williamson, S Srivastava, JC Murray Proceedings of the international conference on pattern recognition and …, 2018 | 34 | 2018 |
| Power dissipation bounds and models for quantum-dot cellular automata circuits S Srivastava, S Sarkar, S Bhanja 2006 sixth ieee conference on nanotechnology 1, 375-378, 2006 | 30 | 2006 |
| Experimental and machine learning study of thermal conductivity of cement composites for geothermal wells K Abid, S Srivastava, MLR Tellez, M Amani, C Teodoriu Geothermics 110, 102659, 2023 | 28 | 2023 |
| A review of torsional vibration mitigation techniques using active control and machine learning strategies A Sharma, K Abid, S Srivastava, AFB Velasquez, C Teodoriu Petroleum 10 (3), 411-426, 2024 | 27 | 2024 |
| A practical implementation of an agriculture field monitoring using wireless sensor networks and IoT enabled E Nurellari, S Srivastava 2018 IEEE International Symposium on Smart Electronic Systems (iSES …, 2018 | 26 | 2018 |
| Impact of data quality on supervised machine learning: Case study on drilling vibrations S Srivastava, RN Shah, C Teodoriu, A Sharma Journal of Petroleum Science and Engineering 219, 111058, 2022 | 23 | 2022 |
| Experimental design, instrumentation, and testing of a laboratory-scale test rig for torsional vibrations—The next generation A Sharma, S Srivastava, C Teodoriu Energies 13 (18), 4750, 2020 | 22 | 2020 |
| Sequential circuit design in quantum-dot cellular automata P Venkataramani, S Srivastava, S Bhanja 2008 8th IEEE Conference on Nanotechnology, 534-537, 2008 | 22 | 2008 |
| Comparative Analytic Study of Machine Learning Algorithms for PCOS Diagnosis and Outcome Prediction: An Empirical Analysis N Bisht, M Bajaj, P Rawat, S Vats, V Sharma, S Srivastava 2023 5th International Conference on Inventive Research in Computing …, 2023 | 21 | 2023 |
| Probabilistic modeling of quantum-dot cellular automata S Srivastava University of South Florida, 2008 | 18 | 2008 |
Sanjukta BhanjaUniversity of South FloridaVerified email at usf.edu
