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Dr. Chandralekha M
Dr. Chandralekha M
Assistant Professor
在 ch.amrita.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Performance comparison of different similarity measures for collaborative filtering technique
KG Saranya, GS Sadasivam, M Chandralekha
Indian Journal of Science and Technology, 2016
462016
Performance analysis of various machine learning techniques to predict cardiovascular disease: An emprical study
M Chandralekha, N Shenbagavadivu
Appl. Math. Inf. Sci 12 (1), 217-226, 2018
192018
An improved tree model based on ensemble feature selection for classification
M Chandralekha, N Shenbagavadivu
Turkish Journal of Electrical Engineering and Computer Sciences 27 (2), 1290 …, 2019
122019
An automatic detection and classification of diabetes mellitus using CNN
RV Aswiga, M Karpagam, M Chandralekha, CS Kumar, M Selvi, S Deena
Soft Computing 27 (10), 6869-6875, 2023
72023
Underwater image re-enhancement with blend of simplest colour balance and contrast limited adaptive histogram equalization algorithm
G Mageshwari, M Chandralekha, D Chaudhary
2023 International Conference on Advancement in Computation & Computer …, 2023
52023
Biclustering based collaborative filtering algorithm for personalized web service recommendation
M Chandralekha, KG Saranya, G Sudha
International Journal of Computer Applications 142 (7), 18-24, 2016
32016
Data analytics for risk of hospitalization of cardiac patients
M Chandralekha, N Shenbagavadivu
IETE Journal of Research 69 (6), 3193-3202, 2023
22023
AN INSIGHT INTO THE USAGE OF BIG DATA ANALYTICS.
M Chandralekha, N Shenbagavadivu
International Journal of Advanced Research in Computer Science 8 (9), 2017
22017
Mediapipe-Powered SVM Model for Real-Time Kuchipudi Mudras Recognition
AVK Kumar, R Emmadisetty, M Chandralekha, K Saleem
2024 2nd International Conference on Advancement in Computation & Computer …, 2024
2024
Leveraging Ensemble Techniques for Enhanced Eye State Classification with EEG Data
NP Jayadurga, M Chandralekha, K Saleem
2024 2nd International Conference on Advancement in Computation & Computer …, 2024
2024
Deep Learning-Based Attack Prediction for Returns in Supply Chain Management Systems
KK Sai, CS Karthik, M Chandralekha, K Salem
International Conference on Communication and Intelligent Systems, 1-19, 2023
2023
An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification Using EEG Data
N Priyadharshini Jayadurga, M Chandralekha, K Saleem
International Conference on Communication and Intelligent Systems, 113-122, 2023
2023
Underwater image re-enhancement with Simplest Color Balance, CLAHE Algorithm, De-noising Convolutional Neural Network and Unsharp Masking
S Varmaa, G Mageshwari, SVA Reddy, DS Lakshmi, M Chandralekha
2023 14th International Conference on Computing Communication and Networking …, 2023
2023
Year of Publication: 2016
M Chandralekha, KG Saranya, GS Sadasivam
2016
An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification Using EEG Data
NP Jayadurga, M Chandralekha, K Saleem
Communication and Intelligent Systems: Proceedings of ICCIS 2023, Volume 2, 113, 0
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