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R. Kavitha
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. 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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2020 – today
- 2025
[j11]Liza M. Kunjachen, R. Kavitha:
Advancing cardiovascular risk prediction: A fusion of SVM models with fuzzy logic and the Sugeno integral. Biomed. Signal Process. Control. 106: 107774 (2025)
[c10]D. L. Shivaprasad
, D. S. Guru
, R. Kavitha
:
Deployable Solution for Real-Time Children Face Emotion Prediction System. ICAA 2025: 204-224- 2024
[j10]P. Rajesh, R. Kavitha:
Deep learning method for human activity recognition using heaped LSTM and image pattern of activity. Int. J. Comput. Vis. Robotics 14(3): 264-283 (2024)
[c9]D. Saraswathi, R. Kavitha:
Spam Message Classification Using C4.5 and Steepest Ascent Hill Climbing and Genetic Algorithm for Feature Selection. ICCCNT 2024: 1-6
[c8]R. Kavitha
, D. S. Guru
:
Quantitative Structure-Activity Relationship Modeling for the Prediction of Fish Toxicity Lethal Concentration on Fathead Minnow. ICPR (10) 2024: 34-46- 2023
[j9]R. Kavitha
:
THD Minimization and Reliability Analysis of Cascaded Multilevel Inverter. J. Circuits Syst. Comput. 32(11): 2350181:1-2350181:17 (2023)
[j8]A. Abirami
, R. Kavitha
:
A novel automated komodo Mlipir optimization-based attention BiLSTM for early detection of diabetic retinopathy. Signal Image Video Process. 17(5): 1945-1953 (2023)
[j7]P. Saraswathi, J. V. Anchitaalagammai
, R. Kavitha:
A System Review on Fraudulent Website Detection Using Machine Learning Technique. SN Comput. Sci. 4(6): 702 (2023)- 2022
[j6]A. Abirami
, R. Kavitha
:
An efficient early detection of diabetic retinopathy using dwarf mongoose optimization based deep belief network. Concurr. Comput. Pract. Exp. 34(28) (2022)
[j5]R. Kavitha, N. Viswanathan:
Cat-Inspired Deep Convolutional Neural Network for Bone Marrow Cancer Cells Detection. Intell. Autom. Soft Comput. 33(2): 1305-1320 (2022)
[j4]P. Rajesh, R. Kavitha:
Elderly people activity monitoring with involved binary sensors and Deep Convolution Neural Network. Neural Comput. Appl. 34(19): 16605-16615 (2022)- 2020
[c7]J. Julian, R. Kavitha
, Y. Joy Rakesh:
An IoT Based Wearable Device for Healthcare Monitoring. FICTA (2) 2020: 515-525
[c6]Y. Joy Rakesh, R. Kavitha
, J. Julian:
Human Activity Recognition Using Wearable Sensors. FICTA (2) 2020: 527-538
2010 – 2019
- 2019
[j3]E. Shanmugapriya
, R. Kavitha
:
Efficient and Secure Privacy Analysis for Medical Big Data Using TDES and MKSVM with Access Control in Cloud. J. Medical Syst. 43(8): 265:1-265:12 (2019)
[j2]E. Shanmugapriya
, R. Kavitha
:
Medical big data analysis: preserving security and privacy with hybrid cloud technology. Soft Comput. 23(8): 2585-2596 (2019)- 2018
[c5]R. Kavitha
, Sumitra Binu:
Ambient Monitoring in Smart Home for Independent Living. ACSS (2) 2018: 57-74- 2016
[c4]R. Kavitha, Niranjana Ambadi, B. Sundar Rajan:
On the number of optimal linear index codes for unicast index coding problems. WCNC 2016: 1-7- 2015
[c3]R. Kavitha, B. Sundar Rajan:
On the number of optimal index codes. ISIT 2015: 1044-1048
[c2]Anoop Thomas, R. Kavitha, A. Chandramouli, B. Sundar Rajan:
Optimal index coding with min-max probability of error over fading channels. PIMRC 2015: 889-894
[i3]R. Kavitha, B. Sundar Rajan:
On the Number of Optimal Index Codes. CoRR abs/1504.05008 (2015)
[i2]R. Kavitha, Niranjana Ambadi, B. Sundar Rajan:
On The Number of Optimal Linear Index Codes For Unicast Index Coding Problems. CoRR abs/1510.02956 (2015)- 2014
[j1]N. Rajkumar, K. Senthil Kumar
, P. Subha, R. Kavitha:
An Efficient Hybrid Algorithm to Reduce Latency in Ad-Hoc Aggregation. J. Comput. Sci. 10(7): 1186-1196 (2014)
[i1]Anoop Thomas, R. Kavitha, A. Chandramouli, B. Sundar Rajan:
Optimal Index Coding with Min-Max Probability of Error over Fading Channels. CoRR abs/1410.6038 (2014)- 2012
[c1]K. R. Sarath Chandran, S. Aiswarya, R. Kavitha, T. Suganthi Krishnavathi:
Agent based memory management framework for a multi processor environment. CCSEIT 2012: 294-300
Coauthor Index

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