Rahul Kumar Sevakula, Ph.D.
Rahul Kumar Sevakula, Ph.D.
Sr. Research Scientist, Whoop
Verified email at - Homepage
Cited by
Cited by
Intelligent condition based monitoring of rotating machines using sparse auto-encoders
NK Verma, VK Gupta, M Sharma, RK Sevakula
2013 IEEE Conference on prognostics and health management (PHM), 1-7, 2013
Generating feature sets for fault diagnosis using denoising stacked auto-encoder
R Thirukovalluru, S Dixit, RK Sevakula, NK Verma, A Salour
2016 IEEE International Conference on Prognostics and Health Management …, 2016
Intelligent condition based monitoring using acoustic signals for air compressors
NK Verma, RK Sevakula, S Dixit, A Salour
IEEE Transactions on Reliability 65 (1), 291-309, 2015
Transfer learning for molecular cancer classification using deep neural networks
RK Sevakula, V Singh, NK Verma, C Kumar, Y Cui
IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018
State‐of‐the‐art machine learning techniques aiming to improve patient outcomes pertaining to the cardiovascular system
RK Sevakula, WTM Au‐Yeung, JP Singh, EK Heist, EM Isselbacher, ...
Journal of the American Heart Association 9 (4), e013924, 2020
Compounding general purpose membership functions for fuzzy support vector machine under noisy environment
RK Sevakula, NK Verma
IEEE Transactions on Fuzzy Systems 25 (6), 1446-1459, 2017
Assessing generalization ability of majority vote point classifiers
RK Sevakula, NK Verma
IEEE Transactions on Neural Networks and Learning Systems 28 (12), 2985-2997, 2016
Object matching using speeded up robust features
NK Verma, A Goyal, AH Vardhan, RK Sevakula, A Salour
intelligent and evolutionary systems, 415-427, 2016
Smartphone application for fault recognition
NK Verma, S Singh, JK Gupta, RK Sevakula, S Dixit, A Salour
2012 Sixth International Conference on Sensing Technology (ICST), 1-6, 2012
Layerwise feature selection in Stacked Sparse Auto-Encoder for tumor type prediction
V Singh, N Baranwal, RK Sevakula, NK Verma, Y Cui
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
Template matching for inventory management using fuzzy color histogram and spatial filters
NK Verma, A Goyal, A Chaman, RK Sevakula, A Salour
2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA …, 2015
Pattern analysis framework with graphical indices for condition-based monitoring
NK Verma, RK Sevakula, R Thirukovalluru
IEEE Transactions on Reliability 66 (4), 1085-1100, 2017
Ranking of sensitive positions based on statistical parameters and cross correlation analysis
NK Verma, K Piyush, RK Sevakula, S Dixit, A Salour
2012 Sixth International Conference on Sensing Technology (ICST), 815-821, 2012
Unsupervised approach for object matching using speeded up robust features
AH Vardhan, NK Verma, RK Sevakula, A Salour
2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-8, 2015
Android app for intelligent CBM
NK Verma, S Sarkar, S Dixit, RK Sevakula, A Salour
2013 IEEE International Symposium on Industrial Electronics, 1-6, 2013
Support vector machine for large databases as classifier
RK Sevakula, NK Verma
International Conference on Swarm, Evolutionary, and Memetic Computing, 303-313, 2012
Signal transforms for feature extraction from vibration signal for air compressor monitoring
NK Verma, R Gupta, RK Sevakula, A Salour
TENCON 2014-2014 IEEE Region 10 Conference, 1-6, 2014
Wavelet transforms for fault detection using SVM in power systems
RK Sevakula, NK Verma
2012 IEEE international conference on power electronics, drives and energy …, 2012
Windows mobile and tablet app for acoustic signature based machine health monitoring
NK Verma, JV Singh, M Gupta, S Dixit, RK Sevakula, A Salour
2014 9th International Conference on Industrial and Information Systems …, 2014
Clustering based outlier detection in fuzzy SVM
RK Sevakula, NK Verma
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1172-1177, 2014
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