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Dr S Murali Krishna
Dr S Murali Krishna
Professor & HOD IT,SVCE
Verified email at svcolleges.edu.in
Title
Cited by
Cited by
Year
Privacy preservation techniques in big data analytics: a survey
SMKAPSK P. Ram Mohan Rao
Journal of Big Data, 1-12, 2018
1072018
Review of current development of pneumatic artificial muscle
S Krishna, T Nagarajan, AMA Rani
Journal of Applied Sciences 11 (10), 1749-1755, 2011
482011
An efficient approach for text clustering based on frequent itemsets
SM Krishna, SD Bhavani
European Journal of Scientific Research 42 (3), 385-396, 2010
482010
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
442022
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
212020
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
122020
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
112022
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
112020
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
112009
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
102006
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
82021
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
82021
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
72021
‘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
72016
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
62022
An Overview of Bio-Inspired Computing
K Lakshmaiah, SM Krishna, BE Reddy
Emerging Research in Computing, Information, Communication and Applications …, 2017
52017
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
52017
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
42021
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
42016
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
32020
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Articles 1–20