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ORCIDV. N. Muralidhara
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2020 – today
- 2024
[c17]Bindu G. Gowda, Prashanth H. C., V. N. Muralidhara, Madhav Rao:
Efficient Radix-4 Approximated Modified Booth Multiplier for Signal Processing and Computer Vision: A Probabilistic Design Approach. ISQED 2024: 1-8- 2023
- [c16]Kumar Murugesan, Srihari Sriram, Kavin Kumar Thangadorai, V. N. Muralidhara:
Closed WiFi Hotspot - Truly Hidden Network. ICCE 2023: 1-6 - 2021
- [c15]Kumar Murugesan, Kavin Kumar Thangadorai, V. N. Muralidhara:
PoEx: Proof of Existence for Evil Twin Attack Prevention in Wi-Fi Personal Networks. FiCloud 2021: 92-98
2010 – 2019
- 2019
- [c14]Vinay A. Jawgal, V. N. Muralidhara, P. S. Srinivasan:
Online Travelling Salesman Problem on a Circle. TAMC 2019: 325-336 - 2018
- [j2]Sashank Dara, Saman Taghavi Zargar, V. N. Muralidhara:
Towards privacy preserving threat intelligence. J. Inf. Secur. Appl. 38: 28-39 (2018) - [c13]Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan
, V. N. Muralidhara:
Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network. ICONIP (7) 2018: 222-234 - 2017
- [c12]Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Policy Gradient Reinforcement Learning for I/O Reordering on Storage Servers. ICONIP (1) 2017: 849-859 - [c11]Kumar Dheenadayalan, Gopalakrishnan Srinivasaraghavan, V. N. Muralidhara:
Self-tuning Filers - Overload Prediction and Preventive Tuning Using Pruned Random Forest. PAKDD (2) 2017: 495-507 - [c10]Sashank Dara, V. N. Muralidhara:
Similarity Based Interactive Private Information Retrieval. SPACE 2017: 151-169 - 2016
- [c9]Kumar Dheenadayalan, V. N. Muralidhara, Gopalakrishnan Srinivasaraghavan:
Storage Load Control Through Meta-Scheduler Using Predictive Analytics. ICDCIT 2016: 75-86 - [c8]Saurabh Deshpande, Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara:
Filer Response Time Prediction Using Adaptively-Learned Forecasting Models Based on Counter Time Series Data. ICMLA 2016: 13-18 - [c7]Kumar Dheenadayalan, G. Srinivasaraghavan, V. N. Muralidhara:
Pruning a Random Forest by Learning a Learning Algorithm. MLDM 2016: 516-529 - [c6]Kumar Dheenadayalan, V. N. Muralidhara, G. Srinivasaraghavan:
Simulator Prototyping Through Graphical Dependency Modeling. MLDM 2016: 584-598 - [i3]Sashank Dara, V. N. Muralidhara:
Privacy Preserving Architectures for Collaborative Intrusion Detection. CoRR abs/1602.02452 (2016) - 2015
- [i2]Prakruti C, Sashank Dara, V. N. Muralidhara:
Efficient Format Preserving Encrypted Databases. IACR Cryptol. ePrint Arch. 2015: 219 (2015) - 2014
- [c5]Kumar Dheenadayalan, V. N. Muralidhara, Pushpa Datla, G. Srinivasaraghavan, Maulik Shah:
Premonition of storage response class using Skyline ranked Ensemble method. HiPC 2014: 1-10 - 2012
- [i1]Sandeep Sen, V. N. Muralidhara:
The covert set-cover problem with application to Network Discovery. CoRR abs/1202.1090 (2012) - 2010
- [c4]Sandeep Sen, V. N. Muralidhara:
The Covert Set-Cover Problem with Application to Network Discovery. WALCOM 2010: 228-239
2000 – 2009
- 2009
- [j1]V. N. Muralidhara, Sandeep Sen:
Improvements on the Johnson bound for Reed-Solomon codes. Discret. Appl. Math. 157(4): 812-818 (2009) - [c3]Jivitej S. Chadha, Naveen Garg, Amit Kumar, V. N. Muralidhara:
A competitive algorithm for minimizing weighted flow time on unrelatedmachines with speed augmentation. STOC 2009: 679-684 - 2008
- [c2]Naveen Garg, Amit Kumar, V. N. Muralidhara:
Minimizing Total Flow-Time: The Unrelated Case. ISAAC 2008: 424-435 - 2007
- [c1]V. N. Muralidhara, Sandeep Sen:
A Result on the Distribution of Quadratic Residues with Applications to Elliptic Curve Cryptography. INDOCRYPT 2007: 48-57
Coauthor Index
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