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R. Venkatesan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- R. Venkatesan 0001 — Velammal Engineering College, Electronic System Design Laboratory, Chennai, India
- R. Venkatesan 0002 — SASTRA Deemed University, School of Computing, Thanjavur, India
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2020 – today
- 2025
- [j25]S. Markkandeyan, A. Dennis Ananth, M. Rajakumaran, R. G. Gokila, R. Venkatesan, B. Lakshmi:
Novel hybrid deep learning based cyber security threat detection model with optimization algorithm. Cyber Secur. Appl. 3: 100075 (2025) - 2024
- [j24]R. Venkatesan, G. N. Balaji:
Balancing composite motion optimization using R-ERNN with plant disease. Appl. Soft Comput. 154: 111288 (2024) - [j23]G. N. Balaji, R. Venkatesan:
Optimized Pyramidal Convolution Shuffle attention neural network based fetal cardiac cycle detection from echocardiograms. Biomed. Signal Process. Control. 98: 106701 (2024) - [j22]Visvam Devadoss Ambeth Kumar, Sowmya Surapaneni, D. Pavitra, R. Venkatesan, Marwan Omar, Ali Kashif Bashir:
An Internet of Medical Things-Based Mental Disorder Prediction System Using EEG Sensor and Big Data Mining. J. Circuits Syst. Comput. 33(11): 2450197:1-2450197:26 (2024) - [j21]R. Golden Nancy, R. Venkatesan, Naveen Sundar G., T. Jemima Jebaseeli:
A Framework of Digital Twins for Improving Respiratory Health and Healthcare Measures. Scalable Comput. Pract. Exp. 25(4): 3214-3223 (2024) - 2023
- [j20]R. Venkatesan, A. Sabari:
Deepsentimodels: A Novel Hybrid Deep Learning Model for an Effective Analysis of Ensembled Sentiments in E-Commerce and S-Commerce Platforms. Cybern. Syst. 54(4): 526-549 (2023) - [j19]S. Arul Jothi, R. Venkatesan, V. Santhi:
Rule-Based Outlier Detection with a Modified Variational AutoEncoder for Enhancing Data Accuracy in Wireless Sensor Networks. Int. J. Fuzzy Syst. 25(6): 2187-2202 (2023) - [j18]M. Mythily, Beaulah David, R. Venkatesan, S. Iwin Thanakumar Joseph:
Model transformation and code generation using a secure business process model. J. Intell. Fuzzy Syst. 45(4): 6691-6705 (2023) - [c6]A. Pandiaraj, N. Ramshankar, R. Venkatesan:
Unlocking the Power of Long Short-Term Memory Networks: A Text Classification Approach. ICCCNT 2023: 1-6 - 2021
- [j17]Varalakshmi Perumal, SureshKumar Murugaiyan, Pavithran Ravichandran, R. Venkatesan, R. Sundar:
Real time identification of anomalous events in coastal regions using deep learning techniques. Concurr. Comput. Pract. Exp. 33(21) (2021) - 2020
- [j16]R. Venkatesan, Sevugan Prabu:
Spectral and spatial features-based HSI classification using multiple neuron-based learning approach. Int. J. Cloud Comput. 9(2/3): 163-177 (2020) - [j15]Visvam Devadoss Ambeth Kumar, S. Malathi, R. Venkatesan, K. Ramalakshmi, K. Vengatesan, Weiping Ding, Abhishek Kumar:
Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition. J. Intell. Fuzzy Syst. 38(2): 2181-2196 (2020)
2010 – 2019
- 2019
- [j14]I. S. Akila, R. Venkatesan:
An energy balanced geo-cluster head set based multi-hop routing for wireless sensor networks. Clust. Comput. 22(Supplement): 9865-9874 (2019) - [j13]R. Venkatesan, Sevugan Prabu:
Hyperspectral Image Features Classification Using Deep Learning Recurrent Neural Networks. J. Medical Syst. 43(7): 216:1-216:10 (2019) - [j12]R. Venkatesan, Sevugan Prabu:
Hyper spectral dimensionality reduction using hybrid discriminative local metric learning. Microprocess. Microsystems 71 (2019) - 2018
- [j11]S. Lovelyn Rose, R. Venkatesan, Girish Pasupathy, P. Swaradh:
A lexicon-based term weighting scheme for emotion identification of tweets. Int. J. Data Anal. Tech. Strateg. 10(4): 369-380 (2018) - [j10]R. Venkatesan, Ganesh Ananthanarayanan:
Deep recurrent neural networks based binaural speech segregation for the selection of closest target of interest. Multim. Tools Appl. 77(15): 20129-20156 (2018) - [c5]R. Venkatesan, Sevugan Prabu:
Feature Extraction from Hyperspectral Image Using Decision Boundary Feature Extraction Technique. SocProS (2) 2018: 927-940 - 2017
- [j9]Anuraj Mohan, R. Venkatesan, K. V. Pramod:
A scalable method for link prediction in large real world networks. J. Parallel Distributed Comput. 109: 89-101 (2017) - [c4]S. Rajalakshmi, R. Venkatesan:
Exploring Cepstral Coefficient Based Sleep Stage Scoring Method for Single-Channel EEG Signal Using Machine Learning Technique. SIRS 2017: 24-37 - 2016
- [j8]I. S. Akila, R. Venkatesan:
A Fuzzy Based Energy-aware Clustering Architecture for Cooperative Communication in WSN. Comput. J. 59(10): 1551-1562 (2016) - [j7]T. Sivakumar, R. Venkatesan:
A New Image Encryption Method Based on Knight's Travel Path and True Random Number. J. Inf. Sci. Eng. 32(1): 133-152 (2016) - [j6]I. S. Akila, R. Venkatesan:
A Cognitive Multi-hop Clustering Approach for Wireless Sensor Networks. Wirel. Pers. Commun. 90(2): 729-747 (2016) - 2015
- [j5]S. Sivakumar, R. Venkatesan:
Meta-heuristic approaches for minimizing error in localization of wireless sensor networks. Appl. Soft Comput. 36: 506-518 (2015) - [j4]S. Sivakumar, R. Venkatesan, M. Karthiga:
Evolutionary approaches for minimising error in localisation of wireless sensor networks. Int. J. Sens. Networks 17(1): 17-26 (2015) - [j3]T. Sivakumar, R. Venkatesan:
A Novel Image Encryption Using Calligraphy Based Scan Method and Random Number. KSII Trans. Internet Inf. Syst. 9(6): 2317-2337 (2015) - 2010
- [j2]P. Venketesh, R. Venkatesan, L. Arunprakash:
Semantic Web Prefetching Scheme using Naïve Bayes Classifier. Int. J. Comput. Sci. Appl. 7(1): 66-78 (2010)
2000 – 2009
- 2007
- [c3]Mahendra Pratap Singh, R. Venkatesan:
Correction of Distortion for Images of Printed Materials. IMECS 2007: 578-582 - 2000
- [c2]Savithri Sundareswaran, R. Venkatesan, S. Bhaskar:
An Assertion Based Technique for Transistor Level Dynamic Power Estimation. VLSI Design 2000: 34-37
1990 – 1999
- 1999
- [j1]R. Venkatesan, Yaser El-Sayed, Rajagopalan Thuppal, H. Sivakumar:
Performance Analysis of Pipelined Multistage Interconnection Networks. Informatica (Slovenia) 23(3) (1999) - 1992
- [c1]R. Venkatesan, Raghu Sastry, N. Ranganathan:
A VLSI architecture for hierarchical scene matching. ICPR (4) 1992: 214-217
Coauthor Index
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