Rahul Kumar Sevakula, Ph.D.

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Nishchal K VermaIndian Institute of Technology KanpurAdresse e-mail validée de iitk.ac.in
Sonal DixitResearch Scholar, IIT KanpurAdresse e-mail validée de iitk.ac.in
Eric IsselbacherMassachusetts General HospitalAdresse e-mail validée de partners.org
Antonis ArmoundasMassachusetts General Hospital, Associate Professor of Medicine, Harvard Medical SchoolAdresse e-mail validée de mgh.harvard.edu
Wan-Tai Michael Au-YeungOregon Health & Science UniversityAdresse e-mail validée de ohsu.edu
Vikas Singh, PhDGwangju Institute of Science and Technology South KoreaAdresse e-mail validée de gist.ac.kr
Yan CuiProfessor of Genetics, Genomics and Informatics, UTHSCAdresse e-mail validée de uthsc.edu
Raghuveer ThirukovalluruDuke UniversityAdresse e-mail validée de duke.edu
Mohamad B. Kassab, MDMassachusetts General HospitalAdresse e-mail validée de mgh.harvard.edu
Jag SinghHarvard Medical SchoolAdresse e-mail validée de partners.org
Richard BoyerWeill Cornell MedicineAdresse e-mail validée de med.cornell.edu
Ankit GoyalNVIDIAAdresse e-mail validée de nvidia.com
Jayesh K. GuptaSilurianAdresse e-mail validée de cs.stanford.edu
Mayank sharmaApplied Scientist-II Amazon, Indian Institute of Technology, DelhiAdresse e-mail validée de iitd.ac.in
Anadi ChamanSenior AI research scientist, Cognex CorporationAdresse e-mail validée de cognex.com
Ashish SahaniDepartment of Biomedical Engineering, IIT RoparAdresse e-mail validée de iitrpr.ac.in
Anirudh AgrawalJuniper NetworksAdresse e-mail validée de juniper.net
NITIN SINGHCarnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
Abhi ShahStudent of Electronics and Communication Technology, IIT RoorkeeAdresse e-mail validée de iitr.ac.in
Vikas SinghUniversity of LouisvilleAdresse e-mail validée de louisville.edu

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Rahul Kumar Sevakula, Ph.D.

Staff Research Scientist, Whoop

Adresse e-mail validée de whoop.com - Page d'accueil

Machine Learning Signal Processing Precision Healthcare Deep learning Wearables


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	137	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	132	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	125	2020
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	120	2016
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	119	2013
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	48	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	36	2016
Object matching using speeded up robust features NK Verma, A Goyal, AH Vardhan, RK Sevakula, A Salour Intelligent and Evolutionary Systems: The 19th Asia Paciﬁc Symposium, IES …, 2016	33	2016
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	28	2016
Machine learning for failure event identification and prediction RK Sevakula, PS Mhatre US Patent US 2021/0027205 A1, 2021	26	2021
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	26	2017
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	26	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	23	2015
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	23	2015
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	23	2012
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	19	2013
Support vector machine for large databases as classifier RK Sevakula, NK Verma Swarm, Evolutionary, and Memetic Computing: Third International Conference …, 2012	19	2012
Real‐time arrhythmia detection using hybrid convolutional neural networks SC Bollepalli, RK Sevakula, WTM Au‐Yeung, MB Kassab, FM Merchant, ... Journal of the American Heart Association 10 (23), e023222, 2021	18	2021
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	18	2014
Vision based object counting using speeded up robust features for inventory control NK Verma, T Sharma, RK Sevakula, A Salour 2016 International Conference on Computational Science and Computational …, 2016	17	2016

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