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Meenakshi K
Meenakshi K
SRM university
在 srmist.edu.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Automatic music genre classification using convolution neural network
S Vishnupriya, K Meenakshi
2018 international conference on computer communication and informatics …, 2018
892018
Plant leaf disease classification and detection system using machine learning
G Geetha, S Samundeswari, G Saranya, K Meenakshi, M Nithya
Journal of Physics: Conference Series 1712 (1), 012012, 2020
582020
A Data mining Technique for Analyzing and Predicting the success of Movie
K Meenakshi, G Maragatham, N Agarwal, I Ghosh
Journal of Physics: Conference Series 1000 (1), 012100, 2018
342018
A novel study of machine learning algorithms for classifying health care data
K Meenakshi, M Safa, T Karthick, N Sivaranjani
Research Journal of Pharmacy and Technology 10 (5), 1429-1432, 2017
262017
Sentiment analysis of healthcare Tweets using SVM Classifier
G Saranya, G Geetha, K Meenakshi, S Karpagaselvi
2020 International Conference on Power, Energy, Control and Transmission …, 2020
202020
An intelligent smart tutor system based on emotion analysis and recommendation engine
K Meenakshi, R Sunder, A Kumar, N Sharma
2017 international conference on iot and application (iciot), 1-4, 2017
172017
A review on security attacks and protective strategies of machine learning
K Meenakshi, G Maragatham
Emerging Trends in Computing and Expert Technology, 1076-1087, 2020
152020
An Optimised Defensive Technique to Recognize Adversarial Iris Images Using Curvelet Transform.
K Meenakshi, G Maragatham
Intelligent Automation & Soft Computing 35 (1), 2023
132023
Computational intelligence in diagnosis and prognosis of gestational diabetes using deep learning
K Meenakshi, G Maragatham
Research Journal of Pharmacy and Technology 12 (8), 3891-3895, 2019
122019
Availability Assessment of Multi-State System by Hybrid Universal Generating Function and Probability Intervals.
K MEENAKSHI, SB Singh
International Journal of Performability Engineering 12 (4), 2016
122016
Automatic text summarization of article (NEWS) using lexical chains and wordnet—A review
K Janaki Raman, K Meenakshi
Artificial Intelligence Techniques for Advanced Computing Applications …, 2021
102021
Assessment of student attentiveness to e-learning by monitoring behavioural elements
NA Shah, K Meenakshi, A Agarwal, S Sivasubramanian
2021 International Conference on Computer Communication and Informatics …, 2021
92021
A self supervised defending mechanism against adversarial iris attacks based on wavelet transform
K Meenakshi, G Maragatham
International Journal of Advanced Computer Science and Applications 12 (2), 2021
62021
Prediction of Customer Purchase Intention Using Linear Support Vector Machine in Digital Marketing
G Saranya, N Gopinath, G Geetha, K Meenakshi, M Nithya
Journal of Physics: Conference Series 1712 (1), 012024, 2020
52020
Multi-label and multi-class retinal classification and comparative model of retinal diseases
G Saranya, G Geetha, M Safa, K Meenakshi
International Journal of Advanced Science and Technology 29 (6), 2319-2329, 2020
52020
Comparison of genre based tamil songs classification using term frequency and inverse document frequency
S Kanchana, K Meenakshi, V Ganapathy
Research Journal of Pharmacy and Technology 10 (5), 1449-1454, 2017
52017
A Review on Real-Time Sign Language Recognition
D Sau, S Dhol, K Meenakshi, K Jayavel
2022 International Conference on Computer Communication and Informatics …, 2022
32022
DeepIris: An ensemble approach to defending Iris recognition classifiers against Adversarial Attacks
SR Tamizhiniyan, A Ojha, K Meenakshi, G Maragatham
2021 International Conference on Computer Communication and Informatics …, 2021
32021
A comprehensive survey on iris presentation attacks and detection based on generative adversarial network
K Meenakshi, G Maragatham
2020 International Conference on Power, Energy, Control and Transmission …, 2020
32020
E MONITOR-EB-Charge Monitoring System Using IoT
M Nithya, K Meenakshi
2020 International Conference on Power, Energy, Control and Transmission …, 2020
32020
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