Items where Author is "Kamalakannan, T."

Article

Soji, Edwin Shalom and Kamalakannan, T. (2024) Efficient Indian sign language recognition and classification using enhanced machine learning approach. International Journal of Critical Infrastructures, 20 (2). pp. 125-138. ISSN 1475-3219

Soji, Edwin Shalom and Kamalakannan, T. (2023) Machine learning approaches to intelligent sign language recognition and classification. International Journal of System of Systems Engineering, 13 (2). pp. 109-122. ISSN 1748-0671

Jebamalar, J. Angelin and Kamalakannan, T. (2021) Enhanced Stacking Ensemble Model in Predictive Analytics of Environmental Sensor Data. 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS). pp. 482-486.

Srinivasan, Sujatha and Kamalakannan, T. (2018) Multi Criteria Decision Making in Financial Risk Management with a Multi-objective Genetic Algorithm. Computational Economics, 52 (2). pp. 443-457. ISSN 0927-7099

Kamalakannan, T. and Mayilvaghnan, P. (2017) Optimal customer relationship management in telecalling industry by using data mining and business intelligence. International Journal of Engineering & Technology, 7 (1.1). p. 12. ISSN 2227-524X

Book Section

Soji, Edwin Shalom and Kamalakannan, T. (2023) Indian Sign Language Recognition Using Surf Feature Extraction and MDAE for Patient Disability Discussion. In: Indian Sign Language Recognition Using Surf Feature Extraction and MDAE for Patient Disability Discussion. Springer, pp. 445-459.

Sivakumar, S. and Kamalakannan, T. (2023) Performance-Based Analysis of K-Medoids and K-Means Algorithms for the Diagnosis and Prediction of Oral Cancer. In: Performance-Based Analysis of K-Medoids and K-Means Algorithms for the Diagnosis and Prediction of Oral Cancer. Springer, pp. 215-226.

Conference or Workshop Item

Suresh, K. S. and Kamalakannan, T. (2023) Circumvolution of Centre Pixel Algorithm in Pixel Value Differencing Steganography Model in the Spatial Domain. In: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

Smiles, J. Anita and Kamalakannan, T. (2020) Data Mining based Hybrid Latent Representation Induced Ensemble Model Towards Fraud Prediction. In: 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India.

Christobel, T. Papitha and Kamalakannan, T. (2020) Predictive analysis in Gestational Diabetic Mellitus (GDM) using HCNN-LSTM/DPNN (Big Data). In: 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), Thoothukudi, India.