S. Appavu alias Balamurugan
Orcid: 0000-0002-4117-3253
According to our database1,
S. Appavu alias Balamurugan
authored at least 36 papers
between 2007 and 2022.
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Bibliography
2022
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images.
Concurr. Eng. Res. Appl., 2022
Human Resource Analytics: Leveraging Machine Learning for Employee Attrition Prediction.
Proceedings of the Transfer, Diffusion and Adoption of Next-Generation Digital Technologies, 2022
2021
A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making.
IEEE Trans. Engineering Management, 2021
Automatic Segmentation and Classification of COVID-19 CT Image Using Deep Learning and Multi-Scale Recurrent Neural Network Based Classifier.
J. Medical Imaging Health Informatics, 2021
A Novel Tuberculosis Prediction Model by Extracting Radiological Features Present in Chest X-ray Images Using Modified Discrete Grey Wolf Optimizer Based Segmentation.
J. Medical Imaging Health Informatics, 2021
A predictive risk level classification of diabetic patients using deep learning modified neural network.
J. Ambient Intell. Humaniz. Comput., 2021
Multi-Tier Student Performance Evaluation Model (MTSPEM) with Integrated Classification Techniques for Educational Decision Making.
Int. J. Comput. Intell. Syst., 2021
Statistical and Machine Learning Approaches for Clinical Decision on Drug Usage in Diabetes with Reference to Competence and Safeness.
Int. J. Comput. Intell. Syst., 2021
A Customized Metaheuristic Approaches for Improving Supplier Selection in Intelligent Decision Making.
IEEE Access, 2021
2019
Multi label learning approaches for multi species avifaunal occurrence modelling: a case study of south eastern Tamil Nadu.
Int. J. Bus. Intell. Data Min., 2019
2018
An Efficient Feature Selection and Classification Using Optimal Radial Basis Function Neural Network.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018
2017
Inf. Process. Lett., 2017
2016
Optimal feature selection for classification using rough set-based CGA-NN classifier.
Int. J. Bus. Intell. Data Min., 2016
A novel memetic algorithm for discovering knowledge in binary and multi class predictions based on support vector machine.
Appl. Soft Comput., 2016
2015
An unsupervised feature selection algorithm with feature ranking for maximizing performance of the classifiers.
Int. J. Autom. Comput., 2015
2013
Int. J. Data Min. Model. Manag., 2013
Performance Tuning of PCA by CFS-Shapley Ensemble and Its Application to Medical Diagnosis.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
Predictive Data Mining Techniques for Forecasting Tamil Nadu Electricity Board (TNEB) Load Demand: An Empirical Study.
Proceedings of the Intelligent Computing, 2013
Proceedings of the Intelligent Computing, 2013
Prediction of Warning Level in Aircraft Accidents using Classification Techniques: An Empirical Study.
Proceedings of the Intelligent Computing, 2013
Proceedings of the Intelligent Computing, 2013
2012
Int. J. Autom. Comput., 2012
2011
2010
Int. J. Autom. Comput., 2010
2009
Knowl. Based Syst., 2009
Knowl. Based Syst., 2009
Int. J. Autom. Comput., 2009
Expert Syst. Appl., 2009
2008
J. Inf. Knowl. Manag., 2008
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008
2007
Detection of e-mail concerning criminal activities using association rule-based decision tree.
Int. J. Electron. Secur. Digit. Forensics, 2007
J. Comput. Inf. Technol., 2007
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007