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C. Raghavendra Rao 0001
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- affiliation: University of Hyderabad, School of Computer and Information Sciences, India
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Journal Articles
- 2023
- [j20]Sreenivasu Mirampalli, Satish Narayana Srirama, Rajeev Wankar, Chillarige Raghavendra Rao:
Hierarchical fuzzy-based Quality of Experience (QoE)-aware application placement in fog nodes. Softw. Pract. Exp. 53(2): 263-282 (2023) - 2022
- [j19]Tilottama Goswami, Arun Agarwal, Chillarige Raghavendra Rao:
A Unified Approach for Representing Outdoor Scenes. IEEE Access 10: 80379-80393 (2022) - 2021
- [j18]Tilottama Goswami, Arun Agarwal, Chillarige Raghavendra Rao:
Multi-Faceted Hierarchical Image Segmentation Taxonomy (MFHIST). IEEE Access 9: 33543-33556 (2021) - 2020
- [j17]Hemantha Kumar Kalluri, Munaga V. N. K. Prasad, Arun Agarwal, Chillarige Raghavendra Rao:
Two-phase palmprint identification. Int. J. Biom. 12(4): 446-467 (2020) - 2017
- [j16]Vijaya Lakshmi V. Nadimpalli, Rajeev Wankar, C. Raghavendra Rao:
Innovative Genetic Algorithmic Approach to Select Potential Patches Enclosing Real and Complex Zeros of Nonlinear Equation. Int. J. Nat. Comput. Res. 6(2): 18-37 (2017) - [j15]Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Chillarige Raghavendra Rao, Rajkumar Buyya:
XHAMI - extended HDFS and MapReduce interface for Big Data image processing applications in cloud computing environments. Softw. Pract. Exp. 47(3): 455-472 (2017) - 2016
- [j14]Mulagala Sandhya, Munaga V. N. K. Prasad, Chillarige Raghavendra Rao:
Generating cancellable fingerprint templates based on Delaunay triangle feature set construction. IET Biom. 5(2): 131-139 (2016) - [j13]Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, C. Raghavendra Rao, Rajkumar Buyya:
The anatomy of big data computing. Softw. Pract. Exp. 46(1): 79-105 (2016) - 2014
- [j12]P. S. V. S. Sai Prasad, C. Raghavendra Rao:
Non-persistent stratified sampling based IQRA_IG for scalable reduct generation. Int. J. Granul. Comput. Rough Sets Intell. Syst. 3(3): 234-255 (2014) - [j11]Munaga V. N. K. Prasad, P. Swathi, C. Raghavendra Rao, B. L. Deekshatulu:
Minimum Spanning Tree (MST) Based Techniques for Generation of Cancelable Fingerprint Templates. Int. J. Pattern Recognit. Artif. Intell. 28(6) (2014) - [j10]P. S. V. S. Sai Prasad, C. Raghavendra Rao:
An Efficient Approach for Fuzzy Decision Reduct Computation. Trans. Rough Sets 17: 82-108 (2014) - 2013
- [j9]Rafah M. Almuttairi, Rajeev Wankar, Atul Negi, C. Raghavendra Rao, Arun Agarwal, Rajkumar Buyya:
A two phased service oriented Broker for replica selection in data grids. Future Gener. Comput. Syst. 29(4): 953-972 (2013) - [j8]Mustafa Kaiiali, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal, Rajkumar Buyya:
Grid Authorization Graph. Future Gener. Comput. Syst. 29(8): 1909-1918 (2013) - 2012
- [j7]Manish R. Joshi, Pawan Lingras, C. Raghavendra Rao:
Correlating Fuzzy and Rough Clustering. Fundam. Informaticae 115(2-3): 233-246 (2012) - [j6]Paramjeet, Vadlamani Ravi, Nekuri Naveen, Chillarige Raghavendra Rao:
Privacy preserving data mining using particle swarm optimisation trained auto-associative neural network: an application to bankruptcy prediction in banks. Int. J. Data Min. Model. Manag. 4(1): 39-56 (2012) - 2010
- [j5]Nekuri Naveen, Vadlamani Ravi, C. Raghavendra Rao, Nikunj Chauhan:
Differential evolution trained radial basis function network: application to bankruptcy prediction in banks. Int. J. Bio Inspired Comput. 2(3/4): 222-232 (2010) - [j4]Yarlagadda Padmasai, Kakarla Subba Rao, C. Raghavendra Rao, S. Sita Jayalakshmi:
Gamma frequency range based EEG analysis for epilepsy detection. Int. J. Medical Eng. Informatics 2(1): 15-25 (2010) - 2007
- [j3]J. Umakant, K. Sudhakar, P. M. Mujumdar, C. Raghavendra Rao:
Uncertainty Modeling for Expensive Functions: A Rank Transformation Approach. Eng. Lett. 14(1): 154-166 (2007) - [j2]Bhadra Mani, C. Raghavendra Rao, P. Anantha Lakshmi, Asima Pradhan, Prasanta K. Panigrahi:
Wavelet Based Classification for Cancer Diagnosis. Eng. Lett. 14(2): 27-35 (2007) - [j1]G. Ganesan, D. Latha, C. Raghavendra Rao:
Reduct Generation in Information Systems. Eng. Lett. 14(2): 36-41 (2007)
Conference and Workshop Papers
- 2019
- [c58]Bheekya Dharamsotu, K. Swarupa Rani, Salman Abdul Moiz, C. Raghavendra Rao:
k-NN Sampling for Visualization of Dynamic Data Using LION-tSNE. HiPC 2019: 63-72 - [c57]Parwat Singh Anjana, Priyanka Badiwal, Rajeev Wankar, Swaroop Kallakuri, C. Raghavendra Rao:
Cloud Service Provider Evaluation System Using Fuzzy Rough Set Technique. SOSE 2019 - 2017
- [c56]Parwat Singh Anjana, Rajeev Wankar, C. Raghavendra Rao:
Design of a Cloud Brokerage Architecture Using Fuzzy Rough Set Technique. MIWAI 2017: 54-68 - [c55]Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao:
Third Order Backward Elimination Approach for Fuzzy-Rough Set Based Feature Selection. PReMI 2017: 254-262 - 2016
- [c54]Soumen Ghosh, P. S. V. S. Sai Prasad, C. Raghavendra Rao:
An Efficient Gaussian Kernel Based Fuzzy-Rough Set Approach for Feature Selection. MIWAI 2016: 38-49 - [c53]Kirti, C. Raghavendra Rao, Rajeev Wankar, Arun Agarwal:
A Hierarchical Learning Approach for Finding Multiple Vehicle Number Plate Under Cluttered Background. MIWAI 2016: 87-98 - [c52]Morusupalli Raghava, Arun Agarwal, C. Raghavendra Rao:
A Scalable Spatial Anisotropic Interpolation Approach for Object Removal from Images Using Elastic Net Regularization. MIWAI 2016: 126-140 - 2014
- [c51]Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Chillarige Raghavendra Rao, Rajkumar Buyya:
Genetic Algorithm Based Data-Aware Group Scheduling for Big Data Clouds. BDC 2014: 96-104 - [c50]Vijaya Lakshmi V. Nadimpalli, Rajeev Wankar, Chillarige Raghavendra Rao:
A Novel Genetic Algorithmic Approach for Computing Real Roots of a Nonlinear Equation. EvoApplications 2014: 579-590 - [c49]Tilottama Goswami, Arun Agarwal, C. Raghavendra Rao:
Statistical Learning for Texture Characterization. ICVGIP 2014: 11:1-11:8 - [c48]Vijaya Lakshmi V. Nadimpalli, Rajeev Wankar, Chillarige Raghavendra Rao:
"Potential Interval of Root" of Nonlinear Equation: Labeling Algorithm. MIWAI 2014: 1-12 - [c47]Mousumi Roy, Apparao Allam, Arun Agarwal, Rajeev Wankar, Chillarige Raghavendra Rao:
Image Processing Tool for FAE Cloud Dynamics. MIWAI 2014: 69-80 - [c46]Raveen S., P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao:
A New Preprocessor to Fuzzy c-Means Algorithm. MIWAI 2014: 124-135 - 2013
- [c45]Tarun Dhariwal, Arun Agarwal, C. Raghavendra Rao:
A soft approach for feature selection and recognition of outdoor natural images. FUZZ-IEEE 2013: 1-8 - [c44]P. S. V. S. Sai Prasad, C. Raghavendra Rao:
Seed based fuzzy decision reduct for hybrid decision systems. FUZZ-IEEE 2013: 1-8 - [c43]B. Vikranth, Rajeev Wankar, C. Raghavendra Rao:
Topology Aware Task stealing for on-Chip NUMA Multi-Core Processors. ICCS 2013: 379-388 - [c42]Morusupalli Raghava, Arun Agarwal, C. Raghavendra Rao:
Spatial Anisotropic Interpolation Approach for Text Removal from an Image. MIWAI 2013: 153-164 - [c41]Vinay Kumar Verma, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal:
Hand Gesture Segmentation from Complex Color-Texture Background Image. MIWAI 2013: 281-292 - 2012
- [c40]Sitaramaiah Ramisetti, Rajeev Wankar, C. Raghavendra Rao:
Design of n-Gram Based Dynamic Pre-fetching for DSM. ICA3PP (2) 2012: 217-224 - [c39]Mustafa Kaiiali, Chillarige Raghavendra Rao, Rajeev Wankar, Arun Agarwal:
Concurrent HCM for Authorizing Grid Resources. ICDCIT 2012: 255-256 - [c38]Snehal Masne, Rajeev Wankar, Chillarige Raghavendra Rao, Arun Agarwal:
Seamless Provision of Cloud Services Using Peer-to-Peer (P2P) Architecture. ICDCIT 2012: 257-258 - [c37]Chitti Kokil Kumar, Arun Agarwal, Chillarige Raghavendra Rao:
Color and Texture Image Segmentation. MIWAI 2012: 69-80 - [c36]P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao:
Novel Granular Framework for Attribute Reduction in Incomplete Decision Systems. MIWAI 2012: 188-201 - [c35]N. A. B. Sankar Chebolu, Rajeev Wankar, Chillarige Raghavendra Rao:
Tuning the Optimization Parameter Set for Code Size. MIWAI 2012: 214-223 - [c34]Rusydi Umar, Arun Agarwal, C. Raghavendra Rao:
Advance Planning and Reservation in a Grid System. NDT (1) 2012: 161-173 - [c33]P. S. V. S. Sai Prasad, C. Raghavendra Rao:
Scalable Improved Quick Reduct: Sample Based. RSKT 2012: 34-39 - [c32]K. Swarupa Rani, V. Kamakshi Prasad, C. Raghavendra Rao:
Extracting Incidental and Global Knowledge through Compact Pattern Trees in Distributed Environment. RSKT 2012: 242-247 - [c31]Nekuri Naveen, Vadlamani Ravi, Chillarige Raghavendra Rao:
Rule Extraction from DEWNN to Solve Classification and Regression Problems. SEMCCO 2012: 206-214 - [c30]K. Hima Bindu, C. Raghavendra Rao:
Search Result Clustering Through Expectation Maximization Based Pruning of Terms. SocProS 2012: 1285-1292 - 2011
- [c29]Gutha Jaya Krishna, C. Raghavendra Rao, Rajeev Wankar:
Finding minimal resource allocation in grid with reliability and trust computations using 2-way split backward search. ICCCS 2011: 188-193 - [c28]Hima Bindu Kommanti, Chillarige Raghavendra Rao:
Association Rule Centric Clustering of Web Search Results. MIWAI 2011: 159-168 - [c27]Umadevi Maramreddy, Arun Agarwal, Chillarige Raghavendra Rao:
Printed Text Characterization for Identifying Print Technology Using Expectation Maximization Algorithm. MIWAI 2011: 201-212 - [c26]Nekuri Naveen, Vadlamani Ravi, Chillarige Raghavendra Rao:
Forecasting Using Rules Extracted from Privacy Preservation Neural Network. MIWAI 2011: 248-260 - [c25]Rafah M. Almuttairi, Rajeev Wankar, Atul Negi, Chillarige Raghavendra Rao:
Enhanced Data Replication Broker. MIWAI 2011: 286-297 - [c24]P. S. V. S. Sai Prasad, Chillarige Raghavendra Rao:
Extensions to IQuickReduct. MIWAI 2011: 351-362 - [c23]K. Swarupa Rani, Chillarige Raghavendra Rao:
Distributed Methodology of CanTree Construction. MIWAI 2011: 363-372 - [c22]P. S. V. S. Sai Prasad, K. Hima Bindu, C. Raghavendra Rao:
Incremental Learning in AttributeNets with Dynamic Reduct and IQuickReduct. RSKT 2011: 195-200 - [c21]Praveen Ganghishetti, Rajeev Wankar, Rafah M. Almuttairi, C. Raghavendra Rao:
Rough Set Based Quality of Service Design for Service Provisioning in Clouds. RSKT 2011: 268-273 - [c20]Umadevi Maramreddy, Arun Agarwal, C. Raghavendra Rao:
Identification of Print Technology Based on Homogeneous Regions of Image. RSKT 2011: 360-365 - 2010
- [c19]K. Hima Bindu, P. S. V. S. Sai Prasad, C. Raghavendra Rao:
Hybrid decision tree based on inferred attribute. A2CWiC 2010: 1:1-1:7 - [c18]Rafah M. Almuttairi, Rajeev Wankar, Atul Negi, C. Raghavendra Rao:
Intelligent Replica Selection Strategy for Data Grid. GCA 2010: 95-101 - [c17]Mustafa Kaiiali, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal:
Enhancing the Hierarchical Clustering Mechanism of Storing Resources' Security Policies in a Grid Authorization System. ICDCIT 2010: 134-139 - [c16]Mustafa Kaiiali, Rajeev Wankar, C. Raghavendra Rao, Arun Agarwal:
A Rough Set based PCM for authorizing grid resources. ISDA 2010: 391-396 - [c15]Rafah M. Almuttairi, Rajeev Wankar, Atul Negi, Chillarige Raghavendra Rao:
Rough set clustering approach to replica selection in data grids (RSCDG). ISDA 2010: 1195-1200 - [c14]Nekuri Naveen, Vadlamani Ravi, C. Raghavendra Rao:
Data Mining via Rules Extracted from GMDH: An Application to Predict Churn in Bank Credit Cards. KES (1) 2010: 80-89 - [c13]Manish R. Joshi, Pawan Lingras, C. Raghavendra Rao:
Analysis of Rough and Fuzzy Clustering. RSKT 2010: 679-686 - 2009
- [c12]Omar Al Jadaan, C. Raghavendra Rao, Lakshmi Rajamani:
Solving Constrained Multi-objective Optimization Problems Using Non-dominated Ranked Genetic Algorithm. Asia International Conference on Modelling and Simulation 2009: 113-118 - [c11]B. Sandhya, Arun Agarwal, C. Raghavendra Rao, Rajeev Wankar:
Automatic Gap Identification towards Efficient Contour Line Reconstruction in Topographic Maps. Asia International Conference on Modelling and Simulation 2009: 309-314 - [c10]M. Uma Devi, Arun Agarwal, C. Raghavendra Rao:
Gaussian Variogram Model for Printing Technology Identification. Asia International Conference on Modelling and Simulation 2009: 320-325 - [c9]Nekuri Naveen, Vadlamani Ravi, C. Raghavendra Rao:
Rule extraction from differential evolution trained radial basis function network using genetic algorithms. CASE 2009: 152-157 - [c8]Wael Abdulal, Omar Al Jadaan, Ahmad Jabas, Ramachandram Sirandas, Mustafa Kaiiali, C. Raghavendra Rao:
Rank-Based Genetic Algorithm with Limited Iteration for Grid Scheduling. CICSyN 2009: 29-34 - [c7]Omar Al Jadaan, Ahmad Jabas, Wael Abdulal, Lakshmi Rajamani, Essa Zaiton, C. Raghavendra Rao:
Engineering Case Studies Using Parameterless Penalty Non-dominated Ranked Genetic Algorithm. CICSyN 2009: 51-56 - [c6]Omar Al Jadaan, Lakshmi Rajamani, C. Raghavendra Rao:
Parameterless penalty function for solving constrained evolutionary optimization. HIMA 2009: 56-63 - [c5]P. S. V. S. Sai Prasad, C. Raghavendra Rao:
IQuickReduct: An Improvement to Quick Reduct Algorithm. RSFDGrC 2009: 152-159 - 2007
- [c4]Yarlagadda Padmasai, Kakarla Subba Rao, C. Raghavendra Rao, S. Sita Jayalakshmi:
Analysis of EEG Using Principal Component Approach. ICECS 2007: 134-137 - [c3]A. Nagaraju, Ramachandram Sirandas, C. Raghavendra Rao:
Highly Dynamic Multi Critriea Agent Based Routing for Mobile Ad-Hoc Networks. IICAI 2007: 1343-1353 - [c2]A. Nagaraju, Ramachandram Sirandas, C. Raghavendra Rao:
Applying Heuristic Technique to ad-hoc on demand Distance Vector Routing to Reduce Broadcast. World Congress on Engineering 2007: 1530-1533 - 2005
- [c1]G. Ganesan, C. Raghavendra Rao:
Fuzzy Rough Bags. IICAI 2005: 2373-2379
Editorship
- 2014
- [e1]M. Narasimha Murty, Xiangjian He, Chillarige Raghavendra Rao, Paul Weng:
Multi-disciplinary Trends in Artificial Intelligence - 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014. Proceedings. Lecture Notes in Computer Science 8875, Springer 2014, ISBN 978-3-319-13364-5 [contents]
Informal and Other Publications
- 2018
- [i2]Parwat Singh Anjana, Priyanka Badiwal, Rajeev Wankar, C. Raghavendra Rao:
Cloud Service Provider Evaluation System using Fuzzy Rough Set Technique. CoRR abs/1810.07423 (2018) - 2015
- [i1]Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Chillarige Raghavendra Rao, Rajkumar Buyya:
The Anatomy of Big Data Computing. CoRR abs/1509.01331 (2015)
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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