Privacy preservation techniques in big data analytics: a survey SMKAPSK P. Ram Mohan Rao Journal of Big Data, 1-12, 2018 | 107 | 2018 |
Review of current development of pneumatic artificial muscle S Krishna, T Nagarajan, AMA Rani Journal of Applied Sciences 11 (10), 1749-1755, 2011 | 48 | 2011 |
An efficient approach for text clustering based on frequent itemsets SM Krishna, SD Bhavani European Journal of Scientific Research 42 (3), 385-396, 2010 | 48 | 2010 |
A comprehensive review of nanoparticles: Effect on water-based drilling fluids and wellbore stability AH Abdullah, S Ridha, DF Mohshim, M Yusuf, H Kamyab, S Krishna, ... Chemosphere 308, 136274, 2022 | 44 | 2022 |
Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review S Krishna, S Ridha, P Vasant, SU Ilyas, A Sophian Journal of Petroleum Science and Engineering 195, 107818, 2020 | 21 | 2020 |
Simplified predictive model for downhole pressure surges during tripping operations using power law drilling fluids S Krishna, S Ridha, P Vasant, SU Ilyas, TN Ofei Journal of Energy Resources Technology 142 (12), 123001, 2020 | 12 | 2020 |
Synthesis and application of cellulose acetate-acrylic acid-acrylamide composite for removal of toxic methylene blue dye from aqueous solution J Rana, G Goindi, N Kaur, S Krishna, A Kakati Journal of Water Process Engineering 49, 103102, 2022 | 11 | 2022 |
Explicit flow velocity modelling of yield power-law fluid in concentric annulus to predict surge and swab pressure gradient for petroleum drilling applications S Krishna, S Ridha, P Vasant, SU Ilyas, S Irawan, R Gholami Journal of Petroleum Science and Engineering 195, 107743, 2020 | 11 | 2020 |
Reduced near-surface thermal inversions in 2005–06 in the southeastern Arabian Sea (Lakshadweep Sea) K Nisha, SA Rao, VV Gopalakrishna, RR Rao, MS Girishkumar, ... Journal of physical oceanography 39 (5), 1184-1199, 2009 | 11 | 2009 |
On the warm pool dynamics in the southeastern Arabian Sea during April–May 2005 based on the satellite remote sensing and ARGO float data VSN Murty, SM Krishna, A Nagaraju, YK Somayajulu, VR Babu, ... Remote Sensing of the Marine Environment 6406, 282-293, 2006 | 10 | 2006 |
An Optimized K-means with Density and Distance-Based Clustering Algorithm for Multidimensional Spatial Databases. K Laskhmaiah, SM Krishna, BE Reddy International Journal of Computer Network & Information Security 13 (6), 2021 | 8 | 2021 |
Experimental evaluation of surge/swab pressure in varying annular eccentricities using non-Newtonian fluid under Couette-Poiseuille flow for drilling applications S Krishna, S Ridha, S Campbell, SU Ilyas, I Dzulkarnain, M Abdurrahman Journal of Petroleum Science and Engineering 206, 108982, 2021 | 8 | 2021 |
Prediction of Bottom-Hole Pressure Differential During Tripping Operations Using Artificial Neural Networks (ANN) S Krishna, S Ridha, P Vasant Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS …, 2021 | 7 | 2021 |
‘Emerging applications of nanotechnology in oil and gas industry RK Pandey, S Krishna, J Rana, NK Hazarika International Journal For Technological Research in Engineering 3, 2347-4718, 2016 | 7 | 2016 |
Performance investigation of a drag-based hydrokinetic turbine considering the effect of deflector, flow velocity, and blade shape NR Maldar, NC Yee, E Oguz, S Krishna Ocean Engineering 266, 112765, 2022 | 6 | 2022 |
An Overview of Bio-Inspired Computing K Lakshmaiah, SM Krishna, BE Reddy Emerging Research in Computing, Information, Communication and Applications …, 2017 | 5 | 2017 |
A Case Study on Privacy Threats and Research Challenges in Privacy Preserving Data Analytics PRM Rao, SM Krishna, APS Kumar International Conference on Electronics, Communication and Aerospace …, 2017 | 5 | 2017 |
Application of deep learning technique to predict downhole pressure differential in eccentric annulus of ultra-deep well S Krishna, S Ridha, SU Ilyas, S Campbell, U Bhan, M Bataee International Conference on Offshore Mechanics and Arctic Engineering 85208 …, 2021 | 4 | 2021 |
Application of Referential Ensemble Learning Techniques To Predict The Density of Rainfall K Lakshmaiah, SM Krishna, BE Reddy International Conference on Electrical, Electronics, Communication, Computer …, 2016 | 4 | 2016 |
New analytical approach for predicting surge/swab pressure gradient using mud clinging effect and frictional pressure losses: For yield power law fluid S Krishna, S Ridha, P Vasant, SU Ilyas Offshore Technology Conference Asia, D012S001R028, 2020 | 3 | 2020 |