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S.Sasikala
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Year
Multi Filtration Feature Selection (MFFS) to improve discriminatory ability in clinical data set
S Sasikala, SA alias Balamurugan, S Geetha
Applied Computing and Informatics 12 (2), 117-127, 2016
452016
A Novel Feature Selection Technique for Improved Survivability Diagnosis of Breast Cancer
S Sasikala
International Symposium on Big Data and Cloud Computing (ISBCC’15) 1 (1), 2015
402015
Data mining application on aviation accident data for predicting topmost causes for accidents
S Koteeswaran, N Malarvizhi, E Kannan, S Sasikala, S Geetha
Cluster computing 22 (Suppl 5), 11379-11399, 2019
232019
Multi-parameter optimization for load balancing with effective task scheduling and resource sharing
S Sasikala, N Malarvizhi, J Aswini, MH Chakravarthy, EA Neeba
Journal of Ambient Intelligence and Humanized Computing, 1-9, 2021
21*2021
A novel adaptive feature selector for supervised classification
S Sasikala, SA alias Balamurugan, S Geetha
Information Processing Letters 117, 25-34, 2017
202017
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images
RT Subhalakshmi, SA Balamurugan, S Sasikala
Concurrent Engineering 30 (1), 116-127, 2022
142022
A Novel Software Package Selection Method Using Teaching–Learning Based Optimization and Multiple Criteria Decision Making
S Sasikala,ASK Kannan, SA alias Balamurugan
IEEE Transactions on Engineering Management 68 (4), 941-954, 2021
14*2021
Generation of cancelable iris template using bi-level transformation
P Punithavathi, S Geetha, S Sasikala
Proceedings of the 6th International Conference on Bioinformatics and …, 2017
132017
An Efficient Food Quality Analysis Model (EFQAM) using the Internet of Things (IoT) Technologies
S Sasikala, EA Neeba, D Tamilarasi, RR Nair, KS Uma
Microprocessors and Microsystems, 103972, 2021
11*2021
A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine
S Sasikala, S Geetha
Applied Soft Computing 49, 407-422, 2016
102016
Appavu alias Balamurugan, S., and Geetha, S.(2016). Multi filtration feature selection (MFFS) to improve discriminatory ability in clinical data set
S Sasikala
Comput. Inf 12, 117-127, 0
10
A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making”
S Sasikala,ASK Kannan, SA alias Balamurugan
IEEE Access 9 (1), 56228-56239, 2021
72021
RF-SEA based Feature selection for Data classification in Medical domain
S Sasikala
International Conference on Advanced Computing, Networking, and Informatics …, 2013
72013
The future of India creeping up in building a smart city: intelligent traffic analysis platform
SAA Balamurugan, JF Lilian, S Sasikala
2018 Second International Conference on Inventive Communication and …, 2018
62018
Data classification using PCA based on Effective Variance Coverage (EVC)
S Sasikala
IEEE International Conference on Emerging Trends in Computing ,Communication …, 2013
52013
Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making.
ESV Kumar, SA alias Balamurugan, S Sasikala
Int. J. Comput. Intell. Syst. 14 (1), 1796-1808, 2021
42021
A Model for Predicting Human Depression using Machine Learning Algorithm
S Sasikala
International Journal of Innovative Technology and Exploring Engineering …, 2020
4*2020
An Efficient Feature Selection Paradigm Using PCA-CFS-Shapley Values Ensemble Applied to Small Medical Data Sets
S Sasikala
International Conference on Computing Communication and Networking …, 2013
42013
Analysis of Deep Learning Techniques for Tuberculosis Disease
S Sasikala, SAA Balamurugan, J Senthil Kumar
SN Computer Science 2 (302), 1-10., 2021
3*2021
Enhanced BiLSTM Model for EEG Emotional Data Analysis
S Sasikala, JS Revathy, N Uma
Principles and Applications of Socio-Cognitive and Affective Computing 1, 51-63, 2022
22022
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Articles 1–20