S. Venkatesh - researchr alias

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Viewing Publication 1 - 34 from 34

2025

A systematic study of intercropping agricultural system using fuzzy and inverse fuzzy hypersoft hypergraphR. Keerthana, S. Venkatesh. jamc, 71(3):4067-4094, June 2025. [doi]

2023

E-Core Implementation in Intel 4 with PowerVia (Backside Power) TechnologyM. Shamanna, E. Abuayob, G. Aenuganti, C. Alvares, J. Antony, A. Bahudhanam, A. Chandran, P. Chew, A. Chatterjee, B. Chauhan, N. Dandeti, J. Desai, M. Doyle, T. Dmukauskas, P. Farache, E. Fetzer, K. Fischer, P. Hack, Y. Greenzweig, J. Giacobbe, Walid M. Hafez, E. Haralson, A. Hegde, A. Illa, M. Islam, S. Jain, M. Jang, J. Nguyen, T. Tong, L. Jiang, Eric Karl, P. Kalangi, G. Khoo, A. Krishnamoorthy, B. Kuns, W. Li, R. Livengood, T. Malik, R. Priyanka, H. Faraby, Y. Maymon, K. Mistry, K. Morgan, S. Natarajan, O. Nevo, M. Oh, P. Pardy, J. Park, P. Penmatsa, B. Phelps, C. Peterson, S. Rajappa, A. Raveh, A Rezaie, T. Ravishankar, R. Ramaswamy, S. Reddy, R. Saha, S. Sen, R. Sanchez, R. Sanaga, B. Simkhovich, Bernhard Sell, M. Senger, B. Schnarch, M. Seshadri, O. Sidorov, S. Subramanian, K. Subramanian, B. Truong, S. Bangalore, J. Hicks, S. Venkatesh, D. Christensen, K. Bhargav, M. Von Haartman, P. Joshi, S. Zickel, C. H. Lin, J. Huening, T. H. Wu, N. Bakken, A. Afzal, A. Raman, Sj. Rao, V. Kawar, J. Neirynck, D. Bradley, M. Duwe, S. Wu, V. Patil, M. Bayoumy. vlsit 2023: 1-2 [doi]

Artificial fish swarm algorithm-based multilayer perceptron model for customer churn prediction in IoT with cloud environmentS. Venkatesh, M. Jeyakarthic. ijbis, 44(3):442-465, 2023. [doi]

2022

2020

Adagrad Optimizer with Elephant Herding Optimization based Hyper Parameter Tuned Bidirectional LSTM for Customer Churn Prediction in IoT Enabled Cloud EnvironmentS. Venkatesh, M. Jeyakarthic. webology, 17(2):631-651, 2020. [doi]

2019

Enhanced analysis of border surveillance using intruders' crossing strategiesN. Bhalaji 0001, S. Venkatesh. soco, 23(21):10623-10634, 2019. [doi]

2018

Personalised recommendation system for ranking in question-answering websites with splay tree by avoiding tumbleweed badgeRangareddy Jayashree, A. Christy, S. Venkatesh. ijtmcc, 4(2):172-191, 2018. [doi]

Implementing Efficient Audio and Image Watermarking Using Multi-resolution Dual Wavelet and Fireflies Approach in Wireless NetworkS. Venkatesh, M. A. Dorai Rangaswamy. wpc, 102(4):2389-2401, 2018. [doi]

2014

Computing k-Regret Minimizing SetsSean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides. pvldb, 7(5):389-400, 2014. [doi]

Three-way joins on MapReduce: An experimental studyBen Kimmett, Alex Thomo, S. Venkatesh. iisa 2014: 227-232 [doi]

2013

2012

Anonymizing Subsets of Social Networks with Degree Constrained SubgraphsSean Chester, Jared Gaertner, Ulrike Stege, S. Venkatesh. asunam 2012: 418-422 [doi]

Effectiveness of Partition and Graph Theoretic Clustering Algorithms for Multiple Source Partial Discharge Pattern Classification Using Probabilistic Neural Network and Its Adaptive Version: A Critique Based on Experimental StudiesS. Venkatesh, S. Gopal Srinivasan, Kannan Krithivasan. jece, 2012, 2012. [doi]

2011

Characterizing problems for realizing policies in self-adaptive and self-managing systemsSowmya Balasubramanian, Ron Desmarais, Hausi A. Müller, Ulrike Stege, S. Venkatesh. ICSE 2011: 70-79 [doi]

k-Anonymization of Social Networks by Vertex AdditionSean Chester, Bruce M. Kapron, Ganesh Ramesh, Gautam Srivastava, Alex Thomo, S. Venkatesh. adbis 2011: 107-116 [doi]

Social Network Anonymization via Edge AdditionBruce M. Kapron, Gautam Srivastava, S. Venkatesh. asunam 2011: 155-162 [doi]

Rewriting of visibly pushdown languages for XML data integrationA. Thomo, S. Venkatesh. TCS, 412(39):5285-5297, 2011. [doi]

Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition - Significance of outliers on classification capabilityS. Venkatesh, S. Gopal. eswa, 38(9):11501-11514, 2011. [doi]

Orthogonal least square center selection technique - A robust scheme for multiple source Partial Discharge pattern recognition using Radial Basis Probabilistic Neural NetworkS. Venkatesh, S. Gopal. eswa, 38(7):8978-8989, 2011. [doi]

2009

Removal of abdominal wall for 3D visualization and segmentation of organs in CT volumeFeng Ding, Wee Kheng Leow, S. Venkatesh. icip 2009: 3377-3380 [doi]

Decomposition Of Complete Graphs And Complete Bipartite Graphs Into α-Labelled TreesG. Sethuraman, S. Venkatesh. arscom, 93, 2009.

2008

Partial discharge pattern classification using composite versions of probabilistic neural network inference engineB. Karthikeyan, S. Gopal, S. Venkatesh. eswa, 34(3):1938-1947, 2008. [doi]

Simulation blocks for TOSSIM-T2Tamma V. Prabhakar, S. Venkatesh, M. S. Sujay, J. Kuri, K. Praveen. comsware 2008: 17-23 [doi]

2006

ART 2 - an unsupervised neural network for PD pattern recognition and classificationB. Karthikeyan, S. Gopal, S. Venkatesh. eswa, 31(2):345-350, 2006. [doi]

2005

Probabilistic Neural Network and its Adaptive Version - a Stochastic Approach to PD Pattern Classification TaskB. Karthikeyan, S. Gopal, S. Venkatesh. ijia, 2(4):333-344, 2005. [doi]

2003

A systems approach to channel equalizationS. Venkatesh, Petros G. Voulgaris, Christoforos N. Hadjicostis. cdc 2003: 3155-3160 [doi]

1999

Information access and QoS issues in a mobile computing environmentM. Kumar, S. Venkatesh, K. Y. Lim, H. Santoso. jnca, 22(2):91-118, 1999. [doi]

1997

Efficient Graph Matching for Video IndexingKim Shearer, Horst Bunke, S. Venkatesh, Dorota H. Kieronska. gbrpr 1998: 53-62 [doi]

1995

Detection of curved edges at sub-pixel accuracy using deformable modelsS. Venkatesh, M. Kisworo, G.A. West. In Proc. of IEEE Conf. Vis. Im. Sig. Proc. 1995: 304-312

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