Rajgopal Kannan

Hivatkozott rá

	Összes	2020 óta
Hivatkozások	7734	4591
h-index	38	25
i10-index	132	77

1300

650

325

975

2003200420052006200720082009201020112012201320142015201620172018201920202021202220232024202537 58 108 134 148 149 163 180 191 167 188 168 221 271 247 270 288 431 641 910 1135 1252 218

Nyilvános hozzáférés

Összes megtekintése

101 cikk

15 cikk

elérhető

nem érhető el

Finanszírozási megbízások alapján

Társszerzők

Viktor K. PrasannaUniversity of Southern CaliforniaE-mail megerősítve itt: usc.edu
Ajitesh SrivastavaResearch Assistant Professor, University of Southern CaliforniaE-mail megerősítve itt: usc.edu
Sundararaja Sitharama IyengarProfessor of Computer Science, Florida International UniversityE-mail megerősítve itt: cis.fiu.edu
Sanmukh KuppannagariCase Western Reserve UniversityE-mail megerősítve itt: case.edu
Hanqing ZengMeta; Ph.D. in computer engineeringE-mail megerősítve itt: meta.com
Arjan DurresiProfessor of Computer Science, Indiana University IndianapolisE-mail megerősítve itt: iu.edu
Distinguished Prof. Athanasios Vasilak...UiA,Norway, IAU,sa, Member of the European Academy of Sciences and ArtsE-mail megerősítve itt: uia.no
Shuangqing WeiSchool of EECS, Louisiana State UniversityE-mail megerősítve itt: lsu.edu
Kartik LakhotiaIntel LabsE-mail megerősítve itt: intel.com
Costas BuschProfessor and Chair, Department of Computer Science, Augusta UniversityE-mail megerősítve itt: augusta.edu
Vamsi ParuchuriProfessor, Department of Computer Science, University of Central ArkansasE-mail megerősítve itt: uca.edu
Sudipta SarangiVirginia TechE-mail megerősítve itt: vt.edu
Shijie ZhouUniversity of Southern CaliforniaE-mail megerősítve itt: usc.edu
Charalampos ChelmisAssociate Professor, University at Albany - State University of New YorkE-mail megerősítve itt: albany.edu
Zhiqiang WuBrage Golding Distinguished Professor of Electrical Engineering, Wright State UniversityE-mail megerősítve itt: wright.edu
Radim BartosProfessor of Computer Science, University of New HampshireE-mail megerősítve itt: cs.unh.edu
Shreyas Girish SingapuraUniversity of Southern CaliforniaE-mail megerősítve itt: usc.edu
Naixue Xiong, Neal Xiong, Neal N. Xio...Colorado Technical University, Northeastern State UniversityE-mail megerősítve itt: nsuok.edu
Yi PanShenzhen University of Advanced Technology, ChinaE-mail megerősítve itt: cs.gsu.edu
Fred GarberProfessor of Electrical Engineering, Wright State UniversityE-mail megerősítve itt: wright.edu

Követés

Rajgopal Kannan

MIS Division, Army Research Office; Electrical Engg, USC

E-mail megerősítve itt: usc.edu

Graph Learning and Analytics Acceleration Optimization CPS


Cím Rendezés hivatkozások szerint Rendezés év szerint Rendezés cím szerint	Hivatkozott rá Hivatkozott rá	Év
Graphsaint: Graph sampling based inductive learning method H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna arXiv preprint arXiv:1907.04931, 2019	1331	2019
Generative adversarial network for synthetic time series data generation in smart grids C Zhang, SR Kuppannagari, R Kannan, VK Prasanna 2018 IEEE international conference on communications, control, and computing …, 2018	214	2018
Decoupling the depth and scope of graph neural networks H Zeng, M Zhang, Y Xia, A Srivastava, A Malevich, R Kannan, V Prasanna, ... Advances in Neural Information Processing Systems 34, 19665-19679, 2021	207	2021
Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems N Xiong, AV Vasilakos, LT Yang, L Song, Y Pan, R Kannan, Y Li IEEE Journal on Selected Areas in Communications 27 (4), 495-509, 2009	201	2009
Novel overlay/underlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency-part I: theoretical framework and analysis in AWGN channel V Chakravarthy, X Li, Z Wu, MA Temple, F Garber, R Kannan, A Vasilakos IEEE Transactions on Communications 57 (12), 3794-3804, 2009	194	2009
Random asynchronous wakeup protocol for sensor networks V Paruchuri, S Basavaraju, A Durresi, R Kannan, SS Iyengar First International Conference on Broadband Networks, 710-717, 2004	157	2004
Machine learning algorithms with ROC curve for predicting and diagnosing the heart disease NB Muppalaneni, M Ma, S Gurumoorthy, R Kannan, V Vasanthi Soft computing and medical bioinformatics, 63-72, 2019	156	2019
Approximating congestion+ dilation in networks via" Quality of Routing” Games C Busch, R Kannan, AV Vasilakos IEEE Transactions on Computers 61 (9), 1270-1283, 2011	155	2011
Game-theoretic models for reliable path-length and energy-constrained routing with data aggregation in wireless sensor networks R Kannan, SS Iyengar IEEE Journal on Selected Areas in Communications 22 (6), 1141-1150, 2004	154	2004
Simulating wireless sensor networks with omnet++ C Mallanda, A Suri, V Kunchakarra, SS Iyengar, R Kannan, A Durresi, ... submitted to IEEE Computer, 2005	141	2005
Building HVAC scheduling using reinforcement learning via neural network based model approximation C Zhang, SR Kuppannagari, R Kannan, VK Prasanna Proceedings of the 6th ACM international conference on systems for energy …, 2019	134	2019
Heme-artemisinin adducts are crucial mediators of the ability of artemisinin to inhibit heme polymerization R Kannan, D Sahal, VS Chauhan Chemistry & biology 9 (3), 321-332, 2002	134	2002
Isolation of salt tolerant endophytic and rhizospheric bacteria by natural selection and screening for promising plant growth-promoting rhizobacteria (PGPR) and growth vigour … T Damodaran, V Sah, RB Rai, DK Sharma, VK Mishra, SK Jha, R Kannan Afr. J. Microbiol. Res 7 (44), 5082-5089, 2013	131	2013
Optimized broadcast protocol for sensor networks A Durresi, VK Paruchuri, SS Iyengar, R Kannan IEEE transactions on Computers 54 (8), 1013-1024, 2005	130	2005
Energy and rate based MAC protocol for wireless sensor networks R Kannan, R Kalidindi, SS Iyengar, V Kumar ACM Sigmod Record 32 (4), 60-65, 2003	126	2003
Hitgraph: High-throughput graph processing framework on fpga S Zhou, R Kannan, VK Prasanna, G Seetharaman, Q Wu IEEE Transactions on Parallel and Distributed Systems 30 (10), 2249-2264, 2019	105	2019
Learning sparse feature representations using probabilistic quadtrees and deep belief nets S Basu, M Karki, S Ganguly, R DiBiano, S Mukhopadhyay, S Gayaka, ... Neural Processing Letters 45, 855-867, 2017	100	2017
Distributed Energy Aware MAC Layer Protocol for Wireless Sensor Networks. R Kalidindi, R Kannan, SS Iyengar, L Ray International conference on wireless networks, 282-286, 2003	100	2003
Accurate, efficient and scalable graph embedding H Zeng, H Zhou, A Srivastava, R Kannan, V Prasanna 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2019	93	2019
A novel self-tuning feedback controller for active queue management supporting TCP flows N Xiong, AV Vasilakos, LT Yang, CX Wang, R Kannan, CC Chang, Y Pan Information Sciences 180 (11), 2249-2263, 2010	92	2010

A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.

Cikkek 1–20

Hivatkozások évente

Ismétlődő hivatkozások

Összevont hivatkozások

Társszerzők hozzáadásaTársszerzők

Követés

Hivatkozott rá

Társszerzők